Sarvar Hussain Nengroo
Orcid: 0000-0002-9651-9282
According to our database1,
Sarvar Hussain Nengroo
authored at least 19 papers
between 2021 and 2024.
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Bibliography
2024
Expert Syst. Appl., 2024
Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training.
IEEE Access, 2024
Enhanced Optical Character Recognition by Optical Sensor Combined with BERT and Cosine Similarity Scoring (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Access, 2023
IEEE Access, 2023
IEEE Access, 2023
Power Management in Smart Residential Building with Deep Learning Model for Occupancy Detection by Usage Pattern of Electric Appliances.
Proceedings of the 2023 5th International Electronics Communication Conference, 2023
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
Power Management in Smart Residential Building with Deep Learning Model for Occupancy Detection by Usage Pattern of Electric Appliances.
CoRR, 2022
Reinforcement Learning Based Cooperative P2P Energy Trading between DC Nanogrid Clusters with Wind and PV Energy Resources.
CoRR, 2022
Anomaly Detection of Smart Metering System for Power Management with Battery Storage System/Electric Vehicle.
CoRR, 2022
CoRR, 2022
Development of Charging, Discharging Scheduling Algorithm for Economical and Energy Efficient Operation of Multi EV Charging Station.
CoRR, 2022
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2022
Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
2021
Optimal Scheduling of Energy Storage for Power System with Capability of Sensing Short-term Future PV Power Production.
CoRR, 2021
Power Management of Microgrid Integrated with Electric Vehicles in Residential Parking Station.
CoRR, 2021
P2P Power Trading between Nanogrid Clusters Exploiting Electric Vehicles and Renewable Energy Sources.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021