Fostering Enduring Peer Learning Groups for 1st Year Students

Paper


Brown, Jason, Kennedy, Joel, Raj, Nawin and Quinton, Matthew. 2023. "Fostering Enduring Peer Learning Groups for 1st Year Students." 34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023). Gold Coast, Australia 03 - 06 Dec 2023 Australia. Australasian Association for Engineering Education.
Paper/Presentation Title

Fostering Enduring Peer Learning Groups for 1st Year Students

Presentation TypePaper
AuthorsBrown, Jason, Kennedy, Joel, Raj, Nawin and Quinton, Matthew
Journal or Proceedings TitleProceedings of the 34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023)
Number of Pages8
Year2023
PublisherAustralasian Association for Engineering Education
Place of PublicationAustralia
Web Address (URL) of Paperhttps://www.aaee2023.org/fullpapers/AAEE_2023_final_paper_5.pdf
Conference/Event34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023)
Event Details
34th Annual Conference of the Australasian Association for Engineering Education (AAEE 2023)
Parent
Annual Conference of the Australasian Association for Engineering Education (AAEE)
Delivery
In person
Event Date
03 to end of 06 Dec 2023
Event Location
Gold Coast, Australia
Event Venue
Sea World Resort Conference Centre
Event Web Address (URL)
Abstract

CONTEXT
The University of Southern Queensland (UniSQ) has a high proportion of students learning in physical isolation from their peers through digital platforms. This physical isolation has impeded the peer network development which often occurs organically in traditional classroom and on-campus environments. Tertiary students have reported higher rates of social isolation and have expressed a desire for social connection (Lemay, Bazelais, & Doleck, 2021). There is a clear need for high quality online learning experiences that harness the affective and socially constructive benefits of collaborative learning (Altinay, 2017).
PURPOSE OR GOAL
This study aims to increase student retention through strategic assessment design that fosters the formation of enduring virtual study groups among peers who may be located in different areas. It is hypothesised that students who are exposed to collaborative peer experiences in their first year of study, and independently continue working in peer groups feel a greater sense of belonging to their fellow students and the university. Hence, these students are less likely to drop out of tertiary study. The secondary aim is to clearly delineate the difference between collaboration and collusion for students working in these peer groups through strategic assessment design.
APPROACH OR METHODOLOGY/METHODS
A component of each assessment in first year courses will be dedicated to students constructively learning from each other in peer learning networks. This is different from standard group work because the aim is to equip students with the skills to undertake individual assignments via social learning. Students will also be asked to voluntarily complete surveys at the start and end of the semester, and then six months after the end of the semester. Three surveys are used to assess any systematic change to a student’s sense of belonging, and the success of forming enduring peer study groups.
ACTUAL OR ANTICIPATED OUTCOMES
Survey data for two first-year engineering courses corresponding to the start and end of semester surveys has been analysed thus far. Although the number of students represented in these surveys is relatively small, the metrics related to a sense of student belonging have shown some improvement from the start to end of semester in these courses.
CONCLUSIONS/RECOMMENDATIONS/SUMMARY
The initial results and analysis show some positive (if tentative) findings. The study is currently being run in two more first year engineering courses, after which we will have sufficient survey data to make more definitive conclusions and recommendations.

KeywordsPeer learning, assessment, belonging, retention
ANZSRC Field of Research 2020390113. Science, technology and engineering curriculum and pedagogy
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/z38v0/fostering-enduring-peer-learning-groups-for-1st-year-students

  • 35
    total views
  • 1
    total downloads
  • 6
    views this month
  • 0
    downloads this month

Export as

Related outputs

Tree shade within urban parks and nature strips: standards and perspectives from measurement campaigns conducted in Queensland
Downs, Nathan, Antrobus, Jodie, Dekeyser, Stijn, Butler, Harry, Downs, Melanie, Hickmott, Darren, Madigan, Chris, Brown, Alexandra, Amar, Abdurazaq, Dearnaley, John, Parisi, Alfio V, Vanos, Jennifer, Raj, Nawin, Harrison, Simone and Igoe, Damien. 2024. "Tree shade within urban parks and nature strips: standards and perspectives from measurement campaigns conducted in Queensland ." 6th International conference UV and Skin Cancer Prevention. Brisbane, Australia 11 - 15 Sep 2024 Australia.
The mitigating effect of street trees, urban flora, and the suburban environment on seasonal peak UV indices: A case study from Brisbane, Australia
Downs, Nathan James, Amar, Abdurazaq, Dearnaley, John, Butler, Harry, Dekeyser, Stijn, Igoe, Damien, Parisi, Alfio V., Raj, Nawin, Deo, Ravinesh and Turner, Joanna. 2024. "The mitigating effect of street trees, urban flora, and the suburban environment on seasonal peak UV indices: A case study from Brisbane, Australia." Photochemistry and Photobiology. https://doi.org/10.1111/php.13988
Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model
Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. "Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model." IEEE Access. 12, pp. 58750-58777. https://doi.org/10.1109/ACCESS.2024.3392899
The Future of Events: How artificial intelligence can play a role
Mair, Judith and Brown, Jason. 2024. "The Future of Events: How artificial intelligence can play a role." Mair, Judith, Aktaş, Gürhan and Kozak, Metin (ed.) International Case Studies in Event Management. United Kingdom. Routledge. pp. 126-132
Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. "Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model." Applied Energy. 359. https://doi.org/10.1016/j.apenergy.2024.122624
Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia
Raj, Nawin and Prakash, Reema. 2024. "Assessment and prediction of significant wave height using hybrid CNN-BiLSTM deep learning model for sustainable wave energy in Australia." Sustainable Horizons . 11. https://doi.org/10.1016/j.horiz.2024.100098
Assessment and Prediction of Sea Level and Coastal Wetland Changes in Small Islands Using Remote Sensing and Artificial Intelligence
Raj, Nawin and Pasfield-Neofitou, Sarah. 2024. "Assessment and Prediction of Sea Level and Coastal Wetland Changes in Small Islands Using Remote Sensing and Artificial Intelligence." Remote Sensing. 16 (3), p. 551. https://doi.org/https://doi.org/10.3390/rs16030551
Hybrid Deep Learning Model for Wave Height Prediction in Australia's Wave Energy Region
Ahmed, Abul Abrar Masrur, Jui, S Janifer Jabin, AL-Musaylh, Mohanad S., Raj, Nawin, Saha, Reepa, Deo, Ravinesh C and Saha, Sanjoy Kumar. 2024. "Hybrid Deep Learning Model for Wave Height Prediction in Australia's Wave Energy Region." Applied Soft Computing. 150. https://doi.org/10.1016/j.asoc.2023.111003
The Academic Numeracy Framework: A tool to embed numeracy in tertiary courses, programs and study-support initiatives
Salmeron, Raquel, Galligan, Linda, Howarth, Debi and Raj, Nawin. 2023. "The Academic Numeracy Framework: A tool to embed numeracy in tertiary courses, programs and study-support initiatives." 8th Students Transitions Achievement Retention & Success Conference (STARS 2023). Brisbane, Australia 03 - 05 Jul 2023 Australia.
An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables
Ahmed, Abul Abrar Masrur, Jui, S. Janifer Jabin, Sharma, Ekta, Ahmed, Mohammad Hafez, Raj, Nawin and Bose, Aditi. 2023. "An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables." Science of the Total Environment. 906. https://doi.org/10.1016/j.scitotenv.2023.167234
A proposed hedge-based energy market model to manage renewable intermittency
Johnathon, Chris, Agalgaonkar, Ashish Prakash, Planiden, Chayne and Kennedy, Joel. 2023. "A proposed hedge-based energy market model to manage renewable intermittency." Renewable Energy. 207, pp. 376-384. https://doi.org/10.1016/j.renene.2023.03.017
Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia
Raj, Nawin and Brown, Jason. 2023. "Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia." Remote Sensing. 15 (11).
Near real-time wind speed forecast model with bidirectional LSTM networks
Joseph, Lionel P., Deo, Ravinesh C., Prasad, Ramendra, Salcedo-Sanz, Sancho, Raj, Nawin and Soar, Jeffrey. 2023. "Near real-time wind speed forecast model with bidirectional LSTM networks." Renewable Energy. 204, pp. 39-58. https://doi.org/10.1016/j.renene.2022.12.123
Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images
Deo, Ravinesh C., Karalasingham, Sagthitharan, Casillas-Perez, David, Raj, Narwin and Salcedo-sanz, Sancho. 2023. "Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images." IEEE Access. 11, pp. 5558-5577. https://doi.org/10.1109/ACCESS.2023.3236253
An Investigation into the Failure Characteristics of External PCB Traces with Different Angle Bends
Elliot, Jake and Brown, Jason. 2023. "An Investigation into the Failure Characteristics of External PCB Traces with Different Angle Bends ." Journal of Electronic Testing: theory and applications. 39 (1), pp. 103-110. https://doi.org/10.1007/s10836-023-06043-0
CNN Based Image Classification of Malicious UAVs
Brown, Jason, Gharineiat, Zahra and Raj, Nawin. 2023. "CNN Based Image Classification of Malicious UAVs." Applied Sciences. 13 (1), pp. 1-13. https://doi.org/10.3390/app13010240
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2021. "Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm." IEEE Access. 9, pp. 166695-166708. https://doi.org/10.1109/ACCESS.2021.3135362
Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm." IEEE Access. 9, pp. 50982-50993. https://doi.org/10.1109/ACCESS.2021.3065939
The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds
Downs, Nathan, Raj, Nawin, Vanos, Jennifer, Parisi, Alfio, Butler, Harry, Deo, Ravinesh, Igoe, Damien, Dexter, Benjamin, Beckman-Downs, Melanie, Turner, Joanna and Dekeyser, Stijn. 2023. "The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds." Photochemistry and Photobiology. 99 (4), pp. 1193-1207. https://doi.org/10.1111/php.13745
A computationally efficient crack detection approach based on deep learning assisted by stockwell transform and linear discriminant analysis
Nguyen, Andy, Nguyen, Canh Long, Gharehbaghi, Vahidreza, Perera, Ruveen, Brown, Jason, Yu, Yang and Kalbkhani, Hashem. 2022. "A computationally efficient crack detection approach based on deep learning assisted by stockwell transform and linear discriminant analysis." Structures. 45, pp. 1962-1970. https://doi.org/10.1016/j.istruc.2022.09.107
A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices
Afrin, Nusrat, Brown, Jason and Khan, Jamil Y.. 2022. "A Multi-Service Adaptive Semi-Persistent LTE Uplink Scheduler for Low Power M2M Devices." Future Internet. 14 (4), pp. 1-28. https://doi.org/10.3390/fi14040107
Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2022. "Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data." Journal of Hydrology. 607, pp. 1-19. https://doi.org/10.1016/j.jhydrol.2022.127534
Assessment and Prediction of Sea Level Trend in the South Pacific Region
Raj, Nawin, Gharineiat, Zahra, Ahmed, Abul Abrar Masrur and Stepanyants, Yury. 2022. "Assessment and Prediction of Sea Level Trend in the South Pacific Region." Remote Sensing. 14 (4), pp. 1-25. https://doi.org/10.3390/rs14040986
Optimal power flow with conventional and non-conventional generating resources in modern grids considering environmental impacts
Johnathon, Chris, Agalgaonkar, Ashish, Kennedy, Joel and Afandi, Izzah. 2020. "Optimal power flow with conventional and non-conventional generating resources in modern grids considering environmental impacts." 29th Australasian Universities Power Engineering Conference (AUPEC 2019). Nadi, Fiji 26 - 29 Nov 2019 United States. https://doi.org/10.1109/AUPEC48547.2019.243753
Cost Allocation of Voltage Unbalance in Distribution Networks
Kennedy, Joel, Morcos, Martina and Lo, Assane. 2020. "Cost Allocation of Voltage Unbalance in Distribution Networks." 19th International Conference on Harmonics and Quality of Power (ICHQP 2020). Dubai, United Arab Emirates 06 - 07 Jul 2020 https://doi.org/10.1109/ICHQP46026.2020.9177935
Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots
Sharma, Ekta, Deo, Ravinesh C., Soar, Jeffrey, Prasad, Ramendra, Parisi, Alfio V. and Raj, Nawin. 2022. "Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots." Atmospheric Environment. 279, pp. 1-13. https://doi.org/10.1016/j.atmosenv.2022.119111
New double decomposition deep learning methods for river water level forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Feng, Qi, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "New double decomposition deep learning methods for river water level forecasting." Science of the Total Environment. 831, pp. 1-21. https://doi.org/10.1016/j.scitotenv.2022.154722
Fault Approximation Tool for Grid-Connected Inverter-Interfaced Distributed Generators
Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2014. "Fault Approximation Tool for Grid-Connected Inverter-Interfaced Distributed Generators." Abu-Siada, A. and Masoum, M. A. S. (ed.) 2014 Australasian Universities Power Engineering Conference (AUPEC 2014). Perth, Australia 28 Sep - 01 Oct 2014 Perth, Australia. https://doi.org/10.1109/AUPEC.2014.6966578
Voltage-based storage control for distributed photovoltaic generation with battery systems
Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2016. "Voltage-based storage control for distributed photovoltaic generation with battery systems." Journal of Energy Storage. 8, pp. 274-285. https://doi.org/10.1016/j.est.2016.10.007
A review of protection systems for distribution networks embedded with renewable generation
Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2016. "A review of protection systems for distribution networks embedded with renewable generation." Renewable and Sustainable Energy Reviews. 58, pp. 1308-1317. https://doi.org/10.1016/j.rser.2015.12.258
A Proposed Algorithm for the Self-Healing of Power Distribution Networks
Johnathon, Chris and Kennedy, Joel. 2018. "A Proposed Algorithm for the Self-Healing of Power Distribution Networks." Sharma, Anurag and Hao, Quan (ed.) 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT). Singapore 22 - 25 May 2018 Singapore. https://doi.org/10.1109/ISGT-Asia.2018.8467816
Protection analysis tool for distribution networks with a high embedded generation penetration
Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2018. "Protection analysis tool for distribution networks with a high embedded generation penetration." International Journal of Electrical Power and Energy Systems. 107, pp. 605-614. https://doi.org/10.1016/j.ijepes.2018.12.001
Construction site layout optimization model considering cost and safety in a dynamic environment
Jaafar, Kamal, Elbarkouky, Raghda and Kennedy, Joel. 2020. "Construction site layout optimization model considering cost and safety in a dynamic environment." Asian Journal of Civil Engineering. 22 (2), pp. 297-312. https://doi.org/10.1007/s42107-020-00314-3
Solar and sand: Dust deposit mitigation in the desert for PV arrays
Kennedy, Joel, Lo, Assane, Rajamani, Haile-Selassie and Lutfi, Saad. 2021. "Solar and sand: Dust deposit mitigation in the desert for PV arrays." Sustainable Energy, Grids and Networks. 28, pp. 1-7. https://doi.org/10.1016/j.segan.2021.100531
Analyzing Electricity Markets with Increasing Penetration of Large-Scale Renewable Power Generation
Johnathon, Chris, Agalgaonkar, Ashish Prakash, Kennedy, Joel and Planiden, Chayne. 2021. "Analyzing Electricity Markets with Increasing Penetration of Large-Scale Renewable Power Generation." Energies. 14 (22), pp. 1-15. https://doi.org/10.3390/en14227618
Intelligent Load Management in Microgrids
Kennedy, J., Ciufo, P. and Agalgaonkar, A.. 2012. "Intelligent Load Management in Microgrids." 2012 IEEE Power and Energy Society General Meeting. San Diego, United States 22 - 26 Jul 2012 United States. https://doi.org/10.1109/PESGM.2012.6345729
Over-voltage mitigation within distribution networks with a high renewable distributed generation penetration
Kennedy, Joel, Ciufo, Phil and Agalgaonkar, Ashish. 2014. "Over-voltage mitigation within distribution networks with a high renewable distributed generation penetration." Kuzle, Igor, Capuder, Tomislav and Pandzic, Hrvoje (ed.) 2014 IEEE International Energy Conference (ENERGYCON). Cavtat, Croatia 13 - 16 May 2014 New York, United States. https://doi.org/10.1109/ENERGYCON.2014.6850562
Grid frequency support from inverter connected generation
Mlilo, Njabulo, Ahfock, Tony and Brown, Jason. 2021. "Grid frequency support from inverter connected generation." 31st Australasian Universities Power Engineering Conference (AUPEC 2021). Perth, Australia 26 - 30 Sep 2021 United States. https://doi.org/10.1109/AUPEC52110.2021.9597782
Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables
Jui, S. Janifer Jabin, Ahmed, A. A. Masrur, Bose, Aditi, Raj, Nawin, Sharma, Ekta, Soar, Jeffrey and Chowdhury, Md Wasique Islam. 2022. "Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables." Remote Sensing. 14 (3), pp. 1-18. https://doi.org/10.3390/rs14030805
Creating streamtubes based on mass conservative streamlines
Raj, Nawin and Li, Zhenquan. 2008. "Creating streamtubes based on mass conservative streamlines." International Journal of Mathematical, Physical and Engineering Sciences. 2 (1), pp. 41-45. https://doi.org/10.5281/zenodo.1081061
Impact of intermittent renewable energy generation penetration on the power system networks – A review
Mlilo, Njabulo, Brown, Jason and Ahfock, Tony. 2021. "Impact of intermittent renewable energy generation penetration on the power system networks – A review." Technology and Economics of Smart Grids and Sustainable Energy. 6 (1), pp. 1-19. https://doi.org/10.1007/s40866-021-00123-w
An Evaluation Framework to Assess the Performance of Electricity Market Models
Johnathon, Chris, Agalgaonkar, Ashish, Planiden, Chayne and Kennedy, Joel. 2022. "An Evaluation Framework to Assess the Performance of Electricity Market Models." 2022 IEEE Industry Applications Society Annual Meeting (IAS 2022). Detroit, USA 09 - 14 Oct 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IAS54023.2022.9939826
Prediction of Sea Level with Vertical Land Movement Correction Using Deep Learning
Raj, Nawin. 2022. "Prediction of Sea Level with Vertical Land Movement Correction Using Deep Learning." Mathematics. 10 (23). https://doi.org/10.3390/math10234533
Next Generation “Living” Laboratory for Engineering Education and Engagement
Nguyen, Andy, Le, Ngoc Thach, Landers, Richard, Byrne, Terry, McDougall, Kevin, Gharehbaghi, Vahid Reza, Brown, Jason, Nguyen, Canh Long and Karunasena, Warna. 2022. "Next Generation “Living” Laboratory for Engineering Education and Engagement." 33rd Annual Conference of the Australasian Association of Engineering Education (AAEE 2022). Sydney, Australia 04 - 07 Dec 2022 Australia.
Proximity Coordinated Random Access (PCRA) for M2M applications in LTE-A
Brown, Jason and Khan, Jamil. 2018. "Proximity Coordinated Random Access (PCRA) for M2M applications in LTE-A." 28th International Telecommunication Networks and Application Conference: Experiments and Proofs in Web-service Security (ITNAC 2018). Sydney, Australia 21 - 23 Nov 2018 New York, United States.
Development of data-driven models for wind speed forecasting in Australia
Neupane, Ananta, Raj, Nawin, Deo, Ravinesh and Ali, Mumtaz. 2021. "Development of data-driven models for wind speed forecasting in Australia." Deo, R., Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 143-190
Guidance law for a surveillance UAV swarm tracking a high capability malicious UAV
Brown, Jason and Raj, Nawin. 2021. "Guidance law for a surveillance UAV swarm tracking a high capability malicious UAV." 2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob 2021). Bandung, Indonesia 08 - 10 Apr 2021 United States. https://doi.org/10.1109/APWiMob51111.2021.9435240
The Impact of Initial Swarm Formation for Tracking of a High Capability Malicious UAV
Brown, Jason and Raj, Nawin. 2021. "The Impact of Initial Swarm Formation for Tracking of a High Capability Malicious UAV." International IOT, Electronics and Mechatronics Conference (IEMTRONICS 2021). Toronto, Canada 21 - 24 Apr 2021 Piscataway, United States. https://doi.org/10.1109/IEMTRONICS52119.2021.9422506
Predictive Tracking of a High Capability Malicious UAV
Brown, Jason and Raj, Nawin. 2021. "Predictive Tracking of a High Capability Malicious UAV." IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC 2021). Las Vegas, United States 27 - 30 Jan 2021 Piscataway, United States. https://doi.org/10.1109/CCWC51732.2021.9376137
Evaluation of multivariate adaptive regression splines and artificial neural network for prediction of mean sea level trend around northern Australian coastlines
Raj, Nawin and Gharineiat, zahra. 2021. "Evaluation of multivariate adaptive regression splines and artificial neural network for prediction of mean sea level trend around northern Australian coastlines." Mathematics. 9 (21), pp. 1-20. https://doi.org/10.3390/math9212696
Coexistence and Interference Mitigation for WPANs and WLANs From Traditional Approaches to Deep Learning: A Review
Chen, Dong, Zhuang, Yuan, Huai, Jianzhu, Sun, Xiao, Yang, Xiansheng, Javed, Muhammed, Brown, Jason, Sheng, Zhenguo and Thompson, John. 2021. "Coexistence and Interference Mitigation for WPANs and WLANs From Traditional Approaches to Deep Learning: A Review." IEEE Sensors Journal. 21 (22), pp. 25561-25589. https://doi.org/10.1109/JSEN.2021.3117399
Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition
Huynh, Anh Ngoc-Lan, Deo, Ravinesh C., Ali, Mumtaz, Abdulla, Shahab and Raj, Nawin. 2021. "Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition." Applied Energy. 298, pp. 1-19. https://doi.org/10.1016/j.apenergy.2021.117193
Hybrid deep learning method for a week-ahead evapotranspiration forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "Hybrid deep learning method for a week-ahead evapotranspiration forecasting." Stochastic Environmental Research and Risk Assessment. 36 (3), pp. 831-849. https://doi.org/10.1007/s00477-021-02078-x
Particle and particle-like solitary wave dynamics in fluid media
Raj, Nawin. 2015. Particle and particle-like solitary wave dynamics in fluid media. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350
An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for significant wave height forecasting along coastal areas of Queensland, Australia
Raj, Nawin and Brown, Jason. 2021. "An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for significant wave height forecasting along coastal areas of Queensland, Australia." Remote Sensing. 13 (8), pp. 1-20. https://doi.org/10.3390/rs13081456
Performance Evaluation for Tracking a Malicious UAV using an Autonomous UAV Swarm
Arnold, Christopher and Brown, Jason. 2020. "Performance Evaluation for Tracking a Malicious UAV using an Autonomous UAV Swarm." 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON 2020). New York City, United States 28 - 31 Oct 2020 Piscataway, United States. https://doi.org/10.1109/UEMCON51285.2020.9298062
Design of Alkali-Activated Slag-Fly Ash Concrete Mixtures Using Machine Learning
Gunasekara, C., Lokuge, W., Keskic, M., Raj, N., Law, D. W. and Setunge, S.. 2020. "Design of Alkali-Activated Slag-Fly Ash Concrete Mixtures Using Machine Learning." ACI Materials Journal. 117 (5), pp. 263-278. https://doi.org/10.14359/51727019
Career Assessment
McIlveen, Peter, Perera, Harsha N., Brown, Jason, Healy, Michael and Hammer, Sara. 2021. "Career Assessment." Robertson, Peter J., Hooley, Tristram and McCash, Phil (ed.) The Oxford Handbook of Career Development. United States. Oxford University Press. pp. 1-15
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002
A 6LoWPAN OPNET simulation model for machine‐to‐machine communications
Chen, Dong, Khan, Jamil Y., Brown, Jason, Javed, Muhammad Awais and Zhuang, Yuan. 2020. "A 6LoWPAN OPNET simulation model for machine‐to‐machine communications." Transactions on Emerging Telecommunications Technologies. 31 (11), pp. 1-18. https://doi.org/10.1002/ett.4120
Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6
Wide Area Wireless Networks for IoT Applications
Brown, Jason. 2019. "Wide Area Wireless Networks for IoT Applications." Khan, Jamil Y. and Yuce, Mehmet R. (ed.) Internet of Things (IoT): Systems and Applications. Singapore. Jenny Stanford Publishing. pp. 203-228
Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network
Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517
Interference mitigation techniques for a dense heterogeneous area network in machine-to-machine communications
Chen, Dong, Khan, Jamil, Javed, Muhammad Awais and Brown, Jason. 2019. "Interference mitigation techniques for a dense heterogeneous area network in machine-to-machine communications ." Transactions on Emerging Telecommunications Technologies. 30 (12), pp. 1-24. https://doi.org/10.1002/ett.3763
An examination of the Skills Framework for the Information Age (SFIA) version 7
Brown, Jason. 2020. "An examination of the Skills Framework for the Information Age (SFIA) version 7." International Journal of Information Management. 51. https://doi.org/10.1016/j.ijinfomgt.2019.102058
Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541
Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction." Energies. 12 (12), pp. 1-42. https://doi.org/10.3390/en12122407
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158
Blocking analysis of persistent resource allocations for M2M applications in wireless systems
Brown, Jason, Afrin, Nusrat and Khan, Jamil. 2016. "Blocking analysis of persistent resource allocations for M2M applications in wireless systems ." Transactions on Emerging Telecommunications Technologies. 27 (11), pp. 1513-1529. https://doi.org/10.1002/ett.3091
ICT skill frameworks: do they achieve their goals and users’ expectations?
Brown, Jason and Parr, Alan. 2018. "ICT skill frameworks: do they achieve their goals and users’ expectations?" Advanced Journal of Professional Practice. 1 (2), pp. 38-47.
Predictive resource allocation in the LTE uplink for event based M2M applications
Brown, Jason and Khan, Jamil. 2013. "Predictive resource allocation in the LTE uplink for event based M2M applications." Kim, Dong-In and Mueller, Peter (ed.) 2013 IEEE International Conference on Communications (ICC). Budapest, Hungary 09 - 13 Jun 2013 Piscataway, NJ. United States. https://doi.org/10.1109/ICCW.2013.6649208
Key performance aspects of an LTE FDD based Smart Grid communications network
Brown, Jason and Khan, Jamil. 2013. "Key performance aspects of an LTE FDD based Smart Grid communications network." Computer Communications. 36 (5), pp. 551-561. https://doi.org/10.1016/j.comcom.2012.12.007
Delay models for static and adaptive persistent resource allocations in wireless systems
Brown, Jason, Afrin, Nusrat and Khan, Jamil Y.. 2016. "Delay models for static and adaptive persistent resource allocations in wireless systems." IEEE Transactions on Mobile Computing. 15 (9), pp. 2193-2205. https://doi.org/10.1109/TMC.2015.2492546
A predictive resource allocation algorithm in the LTE uplink for event based M2M applications
Brown, Jason and Khan, Jamil. 2015. "A predictive resource allocation algorithm in the LTE uplink for event based M2M applications." IEEE Transactions on Mobile Computing. 14 (12), pp. 2433-2446. https://doi.org/10.1109/TMC.2015.2398447
Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model
Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J. and Raj, Nawin. 2018. "Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 328-359
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003
Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation
Obregon, Maria, Raj, Nawin and Stepanyants, Yury. 2018. "Adiabatic decay of internal solitons due to Earth’s rotation within the framework of the Gardner–Ostrovsky equation." Chaos: an interdisciplinary journal of nonlinear science. 28 (3), pp. 1-11. https://doi.org/10.1063/1.5021864
Adiabatic decay of internal solitons in a rotating ocean
Obregon, M. A., Raj, N. and Stepanyants, Y. A.. 2016. "Adiabatic decay of internal solitons in a rotating ocean." 20th Australasian Fluid Mechanics Conference (AFMC 2016). Perth, Australia 05 - 08 Dec 2016 Australia.
An Interference Mitigation Approach for a Dense Heterogeneous Wireless Sensor Network
Chen, Dong, Brown, Jason and Khan, Jamil Y.. 2016. "An Interference Mitigation Approach for a Dense Heterogeneous Wireless Sensor Network ." 2015 9th International Conference on Signal Processing and Communication Systems (ICSPCS). Cairns, Australia 14 - 16 Dec 2015 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICSPCS.2015.7391773
Energy efficient contention window adaptation algorithm for multi-class traffic
Norsyafizan, Wan, Muhamad, W., Khan, Jamil and Brown, Jason. 2016. "Energy efficient contention window adaptation algorithm for multi-class traffic ." 2015 IEEE International RF and Microwave Conference (RFM). Kuching, Malaysia 14 - 16 Dec 2015 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/RFM.2015.7587716
A Distributed Energy Efficient Packet Transmission Algorithm for the IEEE802.11 WLAN
Norsyafizan, Wan Norsyafizan W., Khan, Jamil Y. and Brown, Jason. 2015. "A Distributed Energy Efficient Packet Transmission Algorithm for the IEEE802.11 WLAN." IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). Singapore 07 - 09 Apr 2015 United States. https://doi.org/10.1109/ISSNIP.2015.7106912
Energy Efficient Contention Window Adaptation Algorithm for IEEE 802.11 WLAN
Norsyafizan, Wan Norsyafizan Wan, Khan, Jamil Y. and Brown, Jason. 2015. "Energy Efficient Contention Window Adaptation Algorithm for IEEE 802.11 WLAN." 22nd International Conference on Telecommunications (ICT2015). Sydney, Australia 27 - 29 Apr 2015 United States. https://doi.org/10.1109/ICT.2015.7124657
An Area Packet Scheduler to Mitigate Coexistence Issues in a WPAN/WLAN Based Hetergeneous Network
Chen, Dong, Khan, Jamil Y. and Brown, Jason. 2015. "An Area Packet Scheduler to Mitigate Coexistence Issues in a WPAN/WLAN Based Hetergeneous Network." 22nd International Conference on Telecommunications (ICT2015). Sydney, Australia 27 - 29 Apr 2015 United States. https://doi.org/10.1109/ICT.2015.7124704
Performance evaluation of an adaptive semi-persistent LTE packet scheduler for M2M communications
Afrin, Nusrat, Brown, Jason and Khan, Jamil Y.. 2015. "Performance evaluation of an adaptive semi-persistent LTE packet scheduler for M2M communications ." 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS 2014). Gold Coast, Australia 15 - 17 Dec 2014 United States. https://doi.org/10.1109/ICSPCS.2014.7021125
Impact of reverberation levels on short-range acoustic communication in an underwater swarm sensor network (USSN) and application to transmitter power control
Burrowes, Gunilla E., Brown, Jason and Khan, Jamil Y.. 2015. "Impact of reverberation levels on short-range acoustic communication in an underwater swarm sensor network (USSN) and application to transmitter power control ." OCEANS 2014 MTS/IEEE - St. John’s. St. John's, NL, Canada 14 - 19 Sep 2014 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/OCEANS.2014.7003039
Design of a buffer and channel adaptive LTE semi-persistent scheduler for M2M communications
Afrin, Nusrat, Brown, Jason, Khan, Jamil Y and IEEE. 2015. "Design of a buffer and channel adaptive LTE semi-persistent scheduler for M2M communications ." 2015 IEEE International Conference on Communications (ICC 2015). London, United Kingdom 08 - 12 Jun 2015 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICC.2015.7249250
Predictive allocation of resources in the LTE uplink based on maximum likelihood estimation of event propagation characteristics for M2M applications
Brown, Jason and Khan, Jamil Y. 2015. "Predictive allocation of resources in the LTE uplink based on maximum likelihood estimation of event propagation characteristics for M2M applications ." IEEE Global Communications Conference (GLOBECOM 2014). Austin, United States 08 - 12 Dec 2014 United States. https://doi.org/10.1109/GLOCOM.2014.7037592
Nonlinear vector waves of a flexural mode in a chain model of atomic particles
Nikitenkova, S. P., Raj, N. and Stepanyants, Y. A.. 2015. "Nonlinear vector waves of a flexural mode in a chain model of atomic particles." Communications in Nonlinear Science and Numerical Simulation. 20 (3), pp. 731-742. https://doi.org/10.1016/j.cnsns.2014.05.031
A Delay Sensitive LTE Uplink Packet Scheduler for M2M Traffic
Afrin, Nusrat, Brown, Jason and Khan, Jamil Y.. 2014. "A Delay Sensitive LTE Uplink Packet Scheduler for M2M Traffic." IEEE Globecom Workshops (GLOBECOM 2013). Atlanta, United States 09 - 13 Dec 2013 United States. https://doi.org/10.1109/GLOCOMW.2013.6825111
A QoS Guaranteed Energy Optimized Packet Transmission Technique for the IEEE802.11 WLAN
Muhamad, Wan Norsyafizan W., Brown, Jason and Khan, Jamil Y.. 2014. "A QoS Guaranteed Energy Optimized Packet Transmission Technique for the IEEE802.11 WLAN." Australasian Telecommunication Networks and Applications Conference (ATNAC 2013). Christchurch, New Zealand 20 - 22 Nov 2013 United States. https://doi.org/10.1109/ATNAC.2013.6705384
Performance analysis of an enhanced delay sensitive LTE uplink scheduler for M2M traffic
Afrin, Nusrat, Brown, Jason and Khan, Jamil Y.. 2014. "Performance analysis of an enhanced delay sensitive LTE uplink scheduler for M2M traffic ." Australasian Telecommunication Networks and Applications Conference (ATNAC 2013). Christchurch, New Zealand 20 - 22 Nov 2013 United States. https://doi.org/10.1109/ATNAC.2013.6705373
A Packet Age Based LTE Uplink Packet Scheduler for M2M Traffic
Afrin, Nusrat, Brown, Jason and Khan, Jamil Y.. 2014. "A Packet Age Based LTE Uplink Packet Scheduler for M2M Traffic." 2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS 2013). Gold Coast, Australia 16 - 18 Dec 2013 United States. https://doi.org/10.1109/ICSPCS.2013.6723987
A QoS Guaranteed Low Energy Packet Transmission Technique for the IEEE 802.11 WLAN
Muhamad, Wan Norsyafizan W., Khan, Jamil Y and Brown, Jason. 2014. "A QoS Guaranteed Low Energy Packet Transmission Technique for the IEEE 802.11 WLAN ." 2014 9th International Symposium on Communication Systems, Networks & Digital Sign Processing (CSNDSP). Manchester, United Kingdom 23 - 25 Jul 2015 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSNDSP.2014.6923902
An adaptive RRM scheme for smart grid M2M applications over a WiMAX network
Khan, Reduan H., Mahata, Kaushik and Brown, Jason. 2014. "An adaptive RRM scheme for smart grid M2M applications over a WiMAX network ." 2014 9th International Symposium on Communication Systems, Networks & Digital Sign Processing (CSNDSP). Manchester, United Kingdom 23 - 25 Jul 2015 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CSNDSP.2014.6923940
Performance analysis of a distributed 6LoWPAN network for the Smart Grid applications
Chen, Dong, Brown, Jason and Khan, Jamil Y.. 2014. "Performance analysis of a distributed 6LoWPAN network for the Smart Grid applications ." IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2014). Singapore 21 - 24 Apr 2014 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ISSNIP.2014.6827646
An Adaptive Buffer Based Semi persistent Scheduling Scheme for Machine to Machine Communications over LTE
Afrin, Nusrat, Brown, Jason and Khan, Jamil Y.. 2014. "An Adaptive Buffer Based Semi persistent Scheduling Scheme for Machine to Machine Communications over LTE." 2014 8th International Conference on Next Generation Mobile Apps, Services and Technologies (NGMAST). Oxford, United States 10 - 12 Sep 2014 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/NGMAST.2014.48
Performance analysis of a tunable cost function based WLAN energy efficient packet transmission technique
Muhamad, Wan Norsyafizan W., Khan, Jamil Y. and Brown, Jason. 2014. "Performance analysis of a tunable cost function based WLAN energy efficient packet transmission technique ." 2014 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob 2014). Bali, Indonesia 28 - 30 Aug 2014 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/APWiMob.2014.6920296
UICC control over devices used to obtain service
Brown, Jason and Ahluwalia, Inderpreet Singh. 2014. UICC control over devices used to obtain service. US8639290B2
Nonlinear spectra of shallow water waves
Giovanangeli, J. -P., Kharif, C., Raj, N. and Stepanyants, Y.. 2013. "Nonlinear spectra of shallow water waves." Oceans - San Diego, 2013. San Diego, United States 23 - 26 Sep 2013 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.23919/OCEANS.2013.6741132
Numerical study of nonlinear wave processes by means of discrete chain models
Obregon, M., Raj, N. and Stepanyants, Y.. 2012. "Numerical study of nonlinear wave processes by means of discrete chain models." Gu, Y. T. and Saha, Suvash C. (ed.) 4th International Conference on Computational Methods (ICCM 2012). Gold Coast, Australia 25 - 28 Nov 2012 Brisbane, Australia.
Performance Analysis of an LTE TDD Based Smart Grid Communications Network for Uplink Biased Traffic
Brown, Jason and Khan, Jamil Y.. 2013. "Performance Analysis of an LTE TDD Based Smart Grid Communications Network for Uplink Biased Traffic." IEEE Globecom Workshops (GLOBECOM 2012). CA, United States 03 - 07 Dec 2012 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/I:10.1109/GLOCOMW.2012.6477808
Performance Comparison of LTE FDD and TDD Based Smart Grid Communications Networks for Uplink Biased Traffic
Brown, Jason and Khan, Jamil Y.. 2013. "Performance Comparison of LTE FDD and TDD Based Smart Grid Communications Networks for Uplink Biased Traffic ." 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm). Tainan, Taiwan 05 2012 - 08 Nov 2015 IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/SmartGridComm.2012.6485996
Pilot protection schemes over a multi-service WiMAX network in the smart grid
Khan, Reduan H., Brown, Jason and Khan, Jamil Y.. 2013. "Pilot protection schemes over a multi-service WiMAX network in the smart grid ." 2013 IEEE International Conference on Communications Workshops (ICC). Budapest, Hungary 09 201 - 13 Jun 2013 United States. https://doi.org/10.1109/ICCW.2013.6649381
Reflection: An Efficient Technique for Implementing an LTE Based Wireless Network Control System for Smart Grid and Other Applications
Brown, Jason and Khan, Jamil Y.. 2013. "Reflection: An Efficient Technique for Implementing an LTE Based Wireless Network Control System for Smart Grid and Other Applications." 2013 IEEE International Conference on Communications (ICC). Budapest, Hungary 09 - 13 Jun 2013 United States. https://doi.org/10.1109/ICC.2013.6655194
Adaptive Space Time - Time Division Multiple Access (AST-TDMA) protocol for an underwater swarm of AUV's
Burrowes, Gunilla E., Brown, Jason and Khan, Jamil Y.. 2013. "Adaptive Space Time - Time Division Multiple Access (AST-TDMA) protocol for an underwater swarm of AUV's ." 2013 MTS/IEEE OCEANS - Bergen. Bergen, Norway 10 2013 - 14 Jun 2014 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/OCEANS-Bergen.2013.6608031
6LoWPAN based Neighborhood Area Network for a smart grid communication infrastructure
Chen, Dong, Brown, Jason and Khan, Jamil Y.. 2013. "6LoWPAN based Neighborhood Area Network for a smart grid communication infrastructure ." 2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN). Da Nang, Vietnam 02 - 05 Jul 2013 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICUFN.2013.6614885
Multiple subscription subscriber identity module (SIM) card
Brown, Jason. 2009. Multiple subscription subscriber identity module (SIM) card. US7613480B2
Extended UK models for high frequency spectral occupancy
Pantjiaros, C.A., Wylie, J.A., Brown, J., Gott, G.F. and Laycock, P.J.. 1998. "Extended UK models for high frequency spectral occupancy ." IEE Proceedings - Communications. 145 (3), pp. 168-174. https://doi.org/10.1049/ip-com:19981711
Recent work on the measurement and analysis of spectral occupancy at HF
Gott, G.F., Chan, S.K., Pantjiaros, C., Brown, J., Laycock, P.J., Broms, M. and Boberg, S.. 1994. "Recent work on the measurement and analysis of spectral occupancy at HF ." 6th International Conference on `HF Radio Systems and Techniques'. York, United Kingdom 04 - 07 Jul 1994 United Kingdom. https://doi.org/10.1049/cp:19940482