Hussain, Aini
National University of Malaysia
10 papers on CoChatORCID 0000-0001-7347-7879
Most cited papers
- Verified
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
Hannan, M. A., Lipu, M. S. H., Hussain, A., & Mohamed, A. (2017) · Renewable and Sustainable Energy Reviews
Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies
Cited by 2,005
- Verified
A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: challenges and recommendations
Lipu, M. S. H., Hannan, M. A., Hussain, A., Hoque, M. M., Ker, P. J., Saad, M. H. M., & Ayob, A. (2018) · Journal of Cleaner Production
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 755
- Verified
A Survey on LiDAR Scanning Mechanisms
Raj, T., Hashim, F. H., Huddin, A. B., Ibrahim, M. F., & Hussain, A. (2020) · Electronics
Advanced Optical Sensing TechnologiesOptical Systems and Laser Technology
Cited by 413
- Verified
Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends
Hossain Lipu, M. S., Hannan, M. A., Hussain, A., Ayob, A., Saad, M. H. M., Karim, T. F., & How, D. N. T. (2020) · Journal of Cleaner Production
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 378
- Verified
Extreme Learning Machine Model for State-of-Charge Estimation of Lithium-Ion Battery Using Gravitational Search Algorithm
Hossain Lipu, M. S., Hannan, M. A., Hussain, A., Saad, M. H., Ayob, A., & Uddin, M. N. (2019) · IEEE Transactions on Industry Applications
Battery Modeling and ManagementMachine Learning and ELM
Cited by 188
- Verified
State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm
Lipu, M. S. H., Hannan, M. A., Hussain, A., Saad, M. H. M., Ayob, A., & Blaabjerg, F. (2018) · IEEE Access
Battery Modeling and ManagementElectric and Hybrid Vehicle Technologies
Cited by 162
- Verified
Artificial intelligence based hybrid forecasting approaches for wind power generation: Progress, challenges and prospects
Lipu, M. S. H., Miah, M. S., Hannan, M. A., Hussain, A., Sarker, M. R., Ayob, A., Saad, M. H. M., & Mahmud, M. S. (2021) · IEEE Access
Energy Load and Power ForecastingSolar Radiation and Photovoltaics
Cited by 121
- Verified
State of Charge Estimation in Lithium-Ion Batteries: A Neural Network Optimization Approach
Hossain Lipu, M. S., Hannan, M. A., Hussain, A., Ayob, A., Saad, M. H. M., & Muttaqi, K. M. (2020) · Electronics
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 84
- Verified
Activities Recognition, Anomaly Detection and Next Activity Prediction Based on Neural Networks in Smart Homes
Alaghbari, K. A., Md. Saad, M. H., Hussain, A., & Alam, M. R. (2022) · IEEE Access
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 61
- Verified
Complex event detection in an intelligent surveillance system using CAISER platform
Shahad, R. A., Bein, L. G., Saad, M. H. M., & Hussain, A. (2016) · 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES)
Network Security and Intrusion DetectionVideo Surveillance and Tracking Methods
Cited by 11
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