Ijaz Ul Haq

CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks

Waseem Ullah, Amin Ullah, Ijaz Ul Haq et al. · Multimedia Tools and Applications · 2020 · 286 citations

Real-time Anomaly Detection, Convolutional Neural Network, Anomaly Detection +10

Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network

Fath U Min Ullah, Amin Ullah, Khan Muhammad et al. · Sensors · 2019 · 230 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +16

Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM Networks

Fath U Min Ullah, Amin Ullah, Ijaz Ul Haq et al. · IEEE Access · 2019 · 204 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments

Amin Ullah, Khan Muhammad, Ijaz Ul Haq et al. · Future Generation Computer Systems · 2019 · 181 citations

Machine Vision, Machine Learning, Data Science +14

Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications

Amin Ullah, Khan Muhammad, Weiping Ding et al. · Applied Soft Computing · 2021 · 155 citations · Full text