Fath U Min Ullah
Fath U Min Ullah
Other namesUllah Fath U Min
Lecturer in Artificial Intelligence, School of Computing and Engineering, UCLan, Preston, UK
Verified email at - Homepage
Cited by
Cited by
Violence detection using spatiotemporal features with 3D convolutional neural network
FUM Ullah, A Ullah, K Muhammad, IU Haq, SW Baik
Sensors 19 (11), 2472, 2019
Short-term prediction of residential power energy consumption via CNN and multi-layer bi-directional LSTM networks
FUM Ullah, A Ullah, IU Haq, S Rho, SW Baik
IEEE Access 8, 123369-123380, 2019
Raspberry Pi assisted facial expression recognition framework for smart security in law-enforcement services
M Sajjad, M Nasir, FUM Ullah, K Muhammad, AK Sangaiah, SW Baik
Information Sciences 479, 416-431, 2019
Batteries state of health estimation via efficient neural networks with multiple channel charging profiles
N Khan, FUM Ullah, A Ullah, MY Lee, SW Baik
Ieee Access 9, 7797-7813, 2020
AI-assisted edge vision for violence detection in IoT-based industrial surveillance networks
FUM Ullah, K Muhammad, IU Haq, N Khan, AA Heidari, SW Baik, ...
IEEE Transactions on Industrial Informatics 18 (8), 5359-5370, 2021
An intelligent system for complex violence pattern analysis and detection
FUM Ullah, MS Obaidat, K Muhammad, A Ullah, SW Baik, F Cuzzolin, ...
International Journal of Intelligent Systems 37 (12), 10400-10422, 2022
AB-net: A novel deep learning assisted framework for renewable energy generation forecasting
N Khan, FUM Ullah, IU Haq, SU Khan, MY Lee, SW Baik
Mathematics 9 (19), 2456, 2021
Smart and intelligent energy monitoring systems: A comprehensive literature survey and future research guidelines
T Hussain, FU Min Ullah, K Muhammad, S Rho, A Ullah, E Hwang, ...
International Journal of Energy Research 45 (3), 3590-3614, 2021
Towards intelligent building energy management: AI-based framework for power consumption and generation forecasting
SU Khan, N Khan, FUM Ullah, MJ Kim, MY Lee, SW Baik
Energy and buildings 279, 112705, 2023
Towards efficient and effective renewable energy prediction via deep learning
ZA Khan, T Hussain, IU Haq, FUM Ullah, SW Baik
Energy Reports 8, 10230-10243, 2022
Diving deep into short-term electricity load forecasting: comparative analysis and a novel framework
FUM Ullah, N Khan, T Hussain, MY Lee, SW Baik
Mathematics 9 (6), 611, 2021
A modified YOLOv5 architecture for efficient fire detection in smart cities
H Yar, ZA Khan, FUM Ullah, W Ullah, SW Baik
Expert Systems with Applications 231, 120465, 2023
Randomly initialized CNN with densely connected stacked autoencoder for efficient fire detection
ZA Khan, T Hussain, FUM Ullah, SK Gupta, MY Lee, SW Baik
Engineering Applications of Artificial Intelligence 116, 105403, 2022
A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
M Sajjad, FUM Ullah, M Ullah, G Christodoulou, FA Cheikh, M Hijji, ...
Alexandria Engineering Journal 68, 817-840, 2023
A comprehensive review on vision-based violence detection in surveillance videos
FUM Ullah, MS Obaidat, A Ullah, K Muhammad, M Hijji, SW Baik
ACM Computing Surveys 55 (10), 1-44, 2023
TransCNN: Hybrid CNN and transformer mechanism for surveillance anomaly detection
W Ullah, T Hussain, FUM Ullah, MY Lee, SW Baik
Engineering Applications of Artificial Intelligence 123, 106173, 2023
CL-net: ConvLSTM-based hybrid architecture for batteries’ state of health and power consumption forecasting
N Khan, IU Haq, FUM Ullah, SU Khan, MY Lee
Mathematics 9 (24), 3326, 2021
Min Ullah, Amin Ullah, Khan Muhammad, Ijaz Ul Haq, and Sung Wook Baik. Violence detection using spatiotemporal features with 3D convolutional neural network
U Fath
Sensors 19 (11), 2472, 2019
Deep learning-assisted short-term power load forecasting using deep convolutional LSTM and stacked GRU
FUM Ullah, A Ullah, N Khan, MY Lee, S Rho, SW Baik
Complexity 2022, 2022
A hybrid deep learning-based network for photovoltaic power forecasting
A Hussain, ZA Khan, T Hussain, FUM Ullah, S Rho, SW Baik
Complexity 2022, 2022
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