46. Information and Computing Sciences
| Title | 46. Information and Computing Sciences |
|---|---|
| Parent | ANZSRC Field of Research |
Latest research outputs
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Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja and Schuller, Bjorn W.. 2023. "Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition ." IEEE Transactions on Affective Computing. 14 (4), pp. 3164-3176. https://doi.org/10.1109/TAFFC.2022.3221749Article
Automatic sleep spindles identification and classification with multitapers and convolution
Zapata, Ignacio, Wen, Peng, Jones, Evan, Fjaagesund, Shauna and Li, Yan. 2024. "Automatic sleep spindles identification and classification with multitapers and convolution." Sleep. 47 (1). https://doi.org/10.1093/sleep/zsad159Article
Build Smart Grids on Artificial Intelligence − A Real-world Example
You, Shutang, Li, Hongyu, Liu, Shengyuan, Sun, Kaiqi, Zhao, Yinfeng, Xiao, Huangqing, Dong, Jiaojiao, Su, Yu, Wang, Weikang, Cui, Yi, Yin, He, Tan, Jin and Liu, Yilu. 2023. "Build Smart Grids on Artificial Intelligence − A Real-world Example." Applications of Big Data and Artificial Intelligence in Smart Energy Systems Smart Energy System: Design and its State-of-The Art Technologies. River Publishers. pp. 193-220Edited book (chapter)
A new lateral geniculate nucleus pattern-based environmental sound classification using a new large sound dataset
Tasci, Burak, Acharya, Madhav R., Barua, Prabal Datta, Yildiz, Arif Metehan, Gun, Mehmet Veysel, Keles, Tugce, Dogan, Sengul and Tuncer, Turker. 2022. "A new lateral geniculate nucleus pattern-based environmental sound classification using a new large sound dataset." Applied Acoustics. 196. https://doi.org/10.1016/j.apacoust.2022.108897Article
Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Rai, Priya, Karbasi, Masoud, Farooque, Aitazaz A. and Yaseen, Zaher Mundher. 2023. "Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting." Ecological Indicators. 153. https://doi.org/10.1016/j.ecolind.2023.110478Article
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). https://doi.org/10.3390/rs15112881Article
A method for reversing the effect of digital image blurring: a space domain investigation
Scarmana, G.. 2023. "A method for reversing the effect of digital image blurring: a space domain investigation." 12th International Symposium on Mobile Mapping Technology (MMT 2023). Padua, Italy 24 - 26 May 2023 Italy. https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-431-2023Paper
Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions
Fahmideh, Mahdi, Grundy, John, Ahmad, Aakash, Shen, Jun, Yan, Jun, Mougouei, Davoud, Wang, Peng, Ghose, Aditya, Gunawardana, Anuradha, Aickelin, Uwe and Abedin, Babak. 2023. "Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions ." ACM Computing Surveys. 55 (6), pp. 1-44. https://doi.org/10.1145/3530813Article
AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers
Khan, Arif Ali, Akbar, Muhammad Azeem, Fahmideh, Mahdi, Liang, Peng, Waseem, Muhammad, Ahmad, Aakash, Niazi, Mahmood and Abrahamsson, Pekka. 2023. "AI Ethics: An Empirical Study on the Views of Practitioners and Lawmakers ." IEEE Transactions on Computational Social Systems. 10 (6). https://doi.org/10.1109/TCSS.2023.3251729Article
Feasibility Analysis of Data Transmission in Partially Damaged IoT Networks of Vehicles
Wei, Wei, Shen, Jun, Telikani, Akbar, Fahmideh, Mahdi and Gao, Wei. 2023. "Feasibility Analysis of Data Transmission in Partially Damaged IoT Networks of Vehicles ." IEEE Transactions on Intelligent Transportation Systems. 24 (4), pp. 4577-4588. https://doi.org/10.1109/TITS.2022.3190668Article
Development of high-resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models
Tao, Hai, Al-Sulttani, Ahmed H., Salih, Sinan Q., Mohammed, Mustafa K.A., Khan, Mohammad Amir, Beyaztas, Beste Hamiye, Ali, Mumtaz, Elsayed, Salah, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2023. "Development of high-resolution gridded data for water availability identification through GRACE data downscaling: Development of machine learning models." Atmospheric Research. 291. https://doi.org/10.1016/j.atmosres.2023.106815Article
Design Principles for Platform Enabled Knowledge Commons with an Expository Instantiation
Ramakrishnan, Muralidharan, Gregor, Shirley, Shrestha, Anup and Soar, Jeffrey. 2023. "Design Principles for Platform Enabled Knowledge Commons with an Expository Instantiation." Journal of the Association of Information Systems. 24 (5), pp. 1413-1438.Article
The Integral Role of Intelligent IoT System, Cloud Computing, Artificial Intelligence, and 5G in the User-Level Self-Monitoring of COVID-19
Ahmed, Sajjad, Yong, Jianming and Shrestha, Anup. 2023. "The Integral Role of Intelligent IoT System, Cloud Computing, Artificial Intelligence, and 5G in the User-Level Self-Monitoring of COVID-19." Electronics. 12 (8), pp. 1-24. https://doi.org/10.3390/electronics12081912Article
A systematic review of literature on credit card cyber fraud detection using machine and deep learning
Marazqah Btoush, Eyad Abdel Latif, Zhou, Xujuan, Gururajan, Raj, Chan, Ka Ching, Genrich, Rohan and Sankaran, Prema. 2023. "A systematic review of literature on credit card cyber fraud detection using machine and deep learning." PeerJ Computer Science. 9 (1). https://doi.org/10.7717/peerj-cs.1278Article
Research Data Management Framework for Institutions
ARDC. 2023. Research Data Management Framework for Institutions. Australia. Zenodo. https://doi.org/10.5281/zenodo.6392340Technical report
Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm
Jamei, Mehdi, Ali, Mumtaz, Jun, Changhyun, Bateni, Sayed M., Karbasi, Masoud, Farooque, Aitazaz A. and Yaseen, Zaher Mundher. 2023. "Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm." Atmospheric Pollution Research. 14 (6). https://doi.org/10.1016/j.apr.2023.101752Article
Machine Learning Algorithms for High-Resolution Prediction of Spatiotemporal Distribution of Air Pollution from Meteorological and Soil Parameters
Tao, Hai, Jawad, Ali H., Shather, A.H., Al-Khafaji, Zainab Al, Rashid, Tarik A., Ali, Mumtaz, Al-Ansari, Nadhir Al, Marhoon, Haydar Abdulameer, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2023. "Machine Learning Algorithms for High-Resolution Prediction of Spatiotemporal Distribution of Air Pollution from Meteorological and Soil Parameters." Environment International. 175. https://doi.org/10.1016/j.envint.2023.107931Article
Topic Integrated Opinion-Based Drug Recommendation With Transformers
Job, Simi, Tao, Xiaohui, Li, Y., Li, Lin and Yong, Jianming. 2023. "Topic Integrated Opinion-Based Drug Recommendation With Transformers ." IEEE Transactions on Emerging Topics in Computational Intelligence. 7 (6), pp. 1676-1686. https://doi.org/10.1109/TETCI.2023.3246559Article
A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh, Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction." Energy. 275, p. 127430. https://doi.org/10.1016/j.energy.2023.127430Article
Surface water electrical conductivity and bicarbonate ion determination using a smart hybridization of optimal Boruta package with Elman recurrent neural network
Jamei, Mehdi, Ali, Mumtaz, Karimi, Bakhtiar, Karbasi, Masoud, Farooque, Aitataz Ahsan and Yaseen, Zaher Mundher. 2023. "Surface water electrical conductivity and bicarbonate ion determination using a smart hybridization of optimal Boruta package with Elman recurrent neural network." Process Safety and Environmental Protection. 174, pp. 115-134. https://doi.org/10.1016/j.psep.2023.03.062Article
Development of neutrosophic cubic hesitant fuzzy exponential aggregation operators with application in environmental protection problems
Rehman, Ateeq Ur, Gulistan, Muhammad, Ali, Mumtaz, M.Al‑Shamiri, Mohammed M. and Abdulla, Shahab. 2023. "Development of neutrosophic cubic hesitant fuzzy exponential aggregation operators with application in environmental protection problems." Scientific Reports. 13, pp. 1-18. https://doi.org/10.1038/s41598-022-22399-3Article
A comprehensive investigation of wetting distribution pattern on sloping lands under drip irrigation: A new gradient boosting multi-filtering-based deep learning approach
Jamei, Mehdi, Karimi, Bakhtiar, Ali, Mumtaz, Alinazari, Fariba, Karbasi, Masoud, Maroufpoor, Eisa and Chu, Xuefeng. 2023. "A comprehensive investigation of wetting distribution pattern on sloping lands under drip irrigation: A new gradient boosting multi-filtering-based deep learning approach." Journal of Hydrology. 620 (Part A). https://doi.org/10.1016/j.jhydrol.2023.129402Article
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach
Riaz, Farina, Abdulla, Shahab, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C. and Hopkins, Susan. 2023. "Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach." Sensors. 23 (5), pp. 1-11. https://doi.org/10.3390/s23052753Article
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.2022.12.123Article
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
Jamei, Mehdi, Karbasi, Masoud, Ali, Mumtaz, Malik, Anurag, Chu, Xuefeng and Yaseen, Zaher Mundher. 2023. "A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm." Expert Systems with Applications. 222. https://doi.org/10.1016/j.eswa.2023.119811Article
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.2023.3236253Article
Crowd-Assisted Flood Disaster Management
Koswatte, S., McDougall, K. and Liu, X.. 2023. "Crowd-Assisted Flood Disaster Management." Singh, Vijay P., Yadav, Shalini, Yadac, Krishna Kumar, Corzo, Gerald Augusto, Munoz-Arriola, Francisco and Yadava, Ram Narayan (ed.) Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management. Switzerland. Springer. pp. 39-55Edited book (chapter)
A Socio-Ecological-Technical Perspective: How has Information Systems Contributed to Solving the Sustainability Problem
Nguyen, Lemai, Lane, Michael, Nallaperuma, Kaushalya and Deniz, Kaushalya. 2023. "A Socio-Ecological-Technical Perspective: How has Information Systems Contributed to Solving the Sustainability Problem." Han, Shengnan, Laumer, Sven and Ramos, Isabel (ed.) 31st European Conference on Information Systems (ECIS). Norway 11 - 14 Jun 2023 Kristiansand, Norway.Paper
The Role of Cognitive Absorption in Recommender System Reuse
Acharya, Nirmal, Sassenberg, Anne-Marie and Soar, Jeffrey. 2023. "The Role of Cognitive Absorption in Recommender System Reuse." Sustainability. 15 (5), pp. 1-23. https://doi.org/10.3390/su15053896Article
Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network." Biomedical Signal Processing and Control. 82. https://doi.org/10.1016/j.bspc.2022.104566Article
Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model
Li, Yi-ming, Khan, Majid, Khurshid, Adnan, Gulistan, Muhammad, Rehman, Ateeq Ur, Ali, Mumtaz, Abdulla, Shahab and Farooque, Aitazaz A.. 2023. "Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model ." Complex and Intelligent Systems. https://doi.org/10.1007/s40747-023-00971-2Article
Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Jamei, Mehdi and Yaseen, Zaher Mundher. 2023. "Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting." Renewable Energy. 205, pp. 731-746. https://doi.org/10.1016/j.renene.2023.01.108Article
A review of the key challenges of non-fungible tokens
Ali, Omar, Momin, Mujtaba, Shrestha, Anup, Das, Ronnie, Alhajj, Fadia and Dwivedi, Yogesh K.. 2023. "A review of the key challenges of non-fungible tokens." Technological Forecasting and Social Change. 187, pp. 1-13. https://doi.org/10.1016/j.techfore.2022.122248Article
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification
Abdulla, Shahab, Diykh, Mohammed, Siuly, Siuly and Ali, Mumtaz. 2023. "An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification." International Journal of Medical Informatics. 171. https://doi.org/10.1016/j.ijmedinf.2023.105001Article
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition
Diykh, Mohammed, Abdulla, Shahab, Deo, Ravinesh C, Siuly, Siuly and Ali, Mumtaz. 2023. "Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition." Computer Methods and Programs in Biomedicine. 229. https://doi.org/10.1016/j.cmpb.2022.107305Article
A study of plithogenic graphs: applications in spreading coronavirus disease (COVID-19) globally
Sultana, Fazeelat, Gulistan, Muhammad, Ali, Mumtaz, Yaqoob, Naveed, Khan, Muhammad, Rashid, Tabasam and Ahmed, Tauseef. 2023. "A study of plithogenic graphs: applications in spreading coronavirus disease (COVID-19) globally ." Journal of Ambient Intelligence and Humanized Computing. 14 (10), p. 13139–13159. https://doi.org/10.1007/s12652-022-03772-6Article
Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression
Deo, Ravinesh C., Ahmed, A.A. Masrur, Casillas-Perez, David, Pourmousavi, S. Ali, Segal, Gary, Yu, Yanshan and Salcedo-sanz, Sancho. 2023. "Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression." Renewable Energy. 203, pp. 113-130. https://doi.org/10.1016/j.renene.2022.12.048Article
Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Karbasi, Masoud, Rai, Priya and Yaseen, Zaher Mundher. 2023. "Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting." Journal of Hydrology. 617 (Part C). https://doi.org/10.1016/j.jhydrol.2023.129105Article
Research on agricultural product quality traceability system based on blockchain technology
Zheng, Fang, Huang, Siyuan, Zhou, Xiong, Ta, Shujun, Zhou, Xujuan, Chan, Ka Ching and Gururajan, Raj. 2023. "Research on agricultural product quality traceability system based on blockchain technology ." Web Intelligence. 21 (3), pp. 329-343. https://doi.org/10.3233/WEB-220088Article
Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals
Gao, Shang, Zhu, Guohun, Bialkowski, Alina and Zhou, Xujuan. 2023. "Stroke Localization Using Multiple Ridge Regression Predictors Based on Electromagnetic Signals." Mathematics. 11 (2), pp. 1-9. https://doi.org/10.3390/math11020464Article