Subject-Dependent Physical Activity Recognition Model Framework with a Semi-supervised Clustering Approach. - Hashim Ali 002; Enza Messina; Roberto Bisiani (EMS, 2013)

Demonstrating Contexta-CARE: A situation-aware system for supporting independent living. - Davide Merico; Roberto Bisiani; Hashim Ali 002 (PervasiveHealth, 2013)

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features. - Muhammad Attique Khan; Tallha Akram; Muhammad Sharif 001; Muhammad Awais 004; Kashif Javed; Hashim Ali 002; Tanzila Saba (Comput. Electron. Agric., 2018)

Human Behavior Analysis Based on Multi-Types Features Fusion and Von Nauman Entropy Based Features Reduction. - Khursheed Aurangzeb; Irfan Haider; Muhammad Attique Khan; Tanzila Saba; Kashif Javed; Tassawar Iqbal; Amjad Rehman; Hashim Ali 002; Muhammad Shahzad Sarfraz (J. Medical Imaging Health Informatics, 2019)

HEVC's intra mode process expedited using Histogram of Oriented Gradients. - Junaid Tariq; Amir Ijaz; Ammar Armghan; Hameedur Rahman; Hashim Ali 002; Fayadh Alenezi (J. Vis. Commun. Image Represent., 2022)

A Web-Based Platform for Real-Time Speech Emotion Recognition using CNN. - Damir Kabdualiyev; Askar Madiyev; Adil Rakhaliyev; Balgynbek Dikhan; Kassymzhan Gizhduan; Hashim Ali 002 (SmartNets, 2023)

Accurately assessing congenital heart disease using artificial intelligence. - Khalil Khan; Farhan Ullah; Ikram Syed; Hashim Ali 002 (PeerJ Comput. Sci., 2024)

Enhancing ML-based anomaly detection in data management for security through integration of IoT, cloud, and edge computing. - Sultan Baimukhanov; Hashim Ali 002; Adnan Yazici (Expert Syst. Appl., 2025)