Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection. - Tariq Ahmad 004; Jinsong Wu 001; Hathal Salamah Alwageed; Faheem Khan; Jawad Khan; Youngmoon Lee (IEEE Access, 2023)

Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models. - Asif Rahim; Yanru Zhong; Tariq Ahmad 004; Sadique Ahmad; Pawel Plawiak; Mohamed Hammad (Sensors, 2023)

ECMT Framework for Internet of Things: An Integrative Approach Employing In-Memory Attribute Examination and Sophisticated Neural Network Architectures in Conjunction With Hybridized Machine Learning Methodologies. - Yawar Abbas Abid; Jinsong Wu 001; Muhammad Farhan; Tariq Ahmad 004 (IEEE Internet Things J., 2024)

SDIGRU: Spatial and Deep Features Integration Using Multilayer Gated Recurrent Unit for Human Activity Recognition. - Tariq Ahmad 004; Jinsong Wu 001 (IEEE Trans. Comput. Soc. Syst., 2024)