PH-GCN: Boosting Human Action Recognition Through Multi-Level Granularity With Pair-Wise Hyper GCN. - Tamam Alsarhan; Syed Sadaf Ali; Iyyakutti Iyappan Ganapathi; Ahmad Ali 004; Naoufel Werghi (IEEE Access, 2024)

A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems. - Ahmad Ali 004; Inam Ullah 001; Mohammad Shabaz; Amin Sharafian; Muhammad Attique Khan; Xiaoshan Bai; Li Qiu 003 (IEEE Trans. Consumer Electron., 2024)

Revolutionizing E-Commerce With Consumer-Driven Energy-Efficient WSNs: A Multi-Characteristics Approach. - Inam Ullah 001; Deepak Adhikari; Farhad Ali; Ahmad Ali 004; Habib Khan; Amin Sharafian; Suresh Manic Kesavan; Xiaoshan Bai (IEEE Trans. Consumer Electron., 2024)

Resilience to deception attacks in consensus tracking control of incommensurate fractional-order power systems via adaptive RBF neural network. - Amin Sharafian; Hafiz Muhammad Yasir Naeem; Inam Ullah 001; Ahmad Ali 004; Li Qiu 003; Xiaoshan Bai (Expert Syst. Appl., 2025)

Energy-Efficient Resource Allocation for Urban Traffic Flow Prediction in Edge-Cloud Computing. - Ahmad Ali 004; Inam Ullah 001; Sushil Kumar Singh 004; Amin Sharafian; Weiwei Jiang 003; Hammad Iqbal Sherazi; Xiaoshan Bai (Int. J. Intell. Syst., 2025)

Attention-Driven Graph Convolutional Networks for Deadline-Constrained Virtual Machine Task Allocation in Edge Computing. - Ahmad Ali 004; Inam Ullah 001; Sushil Kumar Singh 001; Weiwei Jiang 003; Fahad Alturise; Xiaoshan Bai (IEEE Trans. Consumer Electron., 2025)

An Attention-Driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems. - Ahmad Ali 004; Inam Ullah 001; Shabir Ahmad; Zongze Wu 001; Jianqiang Li 001; Xiaoshan Bai (IEEE Trans. Intell. Transp. Syst., 2025)