Aini Hussain spends much of her time researching Artificial intelligence, Artificial neural network, Algorithm, Pattern recognition and Battery. Her work deals with themes such as Digital signal, Machine learning, Computer vision and Signal processing, which intersect with Artificial intelligence. Her Artificial neural network study integrates concerns from other disciplines, such as Data mining, Process, Robustness and Water resources.
Her Pattern recognition research incorporates elements of Image processing, Modal and Biometrics. Her research integrates issues of Electric vehicle and Energy management system in her study of Battery. Her State of charge research incorporates themes from Extreme learning machine, Management system and Electrical engineering.
Her main research concerns Artificial intelligence, Computer vision, Pattern recognition, Feature extraction and Artificial neural network. Her research on Artificial intelligence frequently connects to adjacent areas such as Machine learning. Her Speech recognition research extends to Pattern recognition, which is thematically connected.
Her Feature extraction study frequently links to other fields, such as Contextual image classification. Her research in Artificial neural network intersects with topics in State of charge, Control theory and Electric power system. The study incorporates disciplines such as Time domain and Maximum power transfer theorem in addition to Electric power system.
Aini Hussain mostly deals with Artificial intelligence, Pattern recognition, State of charge, Electric vehicle and Artificial neural network. Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Keratoconus and Computer vision. Her State of charge research includes elements of Algorithm, Recurrent neural network and Robustness.
Her Electric vehicle research integrates issues from Battery, Automotive engineering and Key. Particularly relevant to Lithium-ion battery is her body of work in Battery. Her research investigates the link between Artificial neural network and topics such as Voltage that cross with problems in Control engineering.
Aini Hussain focuses on State of charge, Electric vehicle, Battery, Robustness and Artificial neural network. The State of charge study combines topics in areas such as Algorithm and Key. Her studies in Electric vehicle integrate themes in fields like Fault and Lithium-ion battery.
Her Battery research is multidisciplinary, relying on both Automotive engineering, Energy management system, Power density and Condition monitoring. Her work in Artificial neural network addresses subjects such as Voltage, which are connected to disciplines such as Transmission system. Noise is often connected to Artificial intelligence in her work.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
M.A. Hannan;M.S.H. Lipu;A. Hussain;A. Mohamed.
Renewable & Sustainable Energy Reviews (2017)
State-of-the-Art and Energy Management System of Lithium-Ion Batteries in Electric Vehicle Applications: Issues and Recommendations
Mahammad A. Hannan;Md. Murshadul Hoque;Aini Hussain;Yushaizad Yusof.
IEEE Access (2018)
A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations
M. S.Hossain Lipu;M. S.Hossain Lipu;M. A. Hannan;Aini Hussain;M. M. Hoque.
Journal of Cleaner Production (2018)
Review of Energy Storage System Technologies in Microgrid Applications: Issues and Challenges
Mohammad Faisal;Mahammad A. Hannan;Pin Jern Ker;Aini Hussain.
IEEE Access (2018)
Energy harvesting for the implantable biomedical devices: issues and challenges
Mahammad A Hannan;Saad Mutashar;Saad Mutashar;Salina A Samad;Aini Hussain.
Biomedical Engineering Online (2014)
Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm
Mahammad A. Hannan;Molla S. Hossain Lipu;Aini Hussain;Mohamad H. Saad.
IEEE Access (2018)
Capacitated vehicle-routing problem model for scheduled solid waste collection and route optimization using PSO algorithm.
M.A. Hannan;Mahmuda Akhtar;R.A. Begum;H. Basri.
Waste Management (2018)
A review on technologies and their usage in solid waste monitoring and management systems: Issues and challenges
M A Hannan;Abdulla Al Mamun;Aini Hussain;Hassan Basri.
Waste Management (2015)
Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)
Afiq Hipni;Ahmed El-shafie;Ali Najah;Othman Abdul Karim.
Water Resources Management (2013)
ANN Based Sediment Prediction Model Utilizing Different Input Scenarios
Haitham Abdulmohsin Afan;Ahmed El-Shafie;Zaher Mundher Yaseen;Mohammed Majeed Hameed.
Water Resources Management (2015)
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