collaborators

5 papers

cs.AI2026

Integrating Triaxial IMU Sensors and Ensemble Learning for Effective Parkinson Disease Severity Classification

Rehan Khan, Muhammad Junaid Asif, Rana Fayyaz Ahmad

Parkinson disease PD is a progressive neurodegenerative disease that can have a significant impact on motor performance resulting in the appearance of symptoms such as tremors rigi…

cs.CV2026

Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification

Muhammad Junaid Asif, Muhammad Saad Rafaqat, Usman Nazakat +2

To ensure energy efficiency and reliable operations, it is essential to monitor solar panels in generation plants to detect defects. It is quite labor-intensive, time consuming and…

cs.NI2025

Leveraging Wireless Sensor Networks for Real-Time Monitoring and Control of Industrial Environments

Muhammad Junaid Asif, Abdul Rehman, Asim Mehmood +3

This research proposes an extensive technique for monitoring and controlling the industrial parameters using Internet of Things (IoT) technology based on wireless communication. We…

cs.CV2025

Crowd Scene Analysis using Deep Learning Techniques

Muhammad Junaid Asif

Our research is focused on two main applications of crowd scene analysis crowd counting and anomaly detection In recent years a large number of researches have been presented in th…

cs.CV2025

Exploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach

Muhammad Junaid Asif, Hamza Khan, Rabia Tehseen +4

Rice is an essential staple food worldwide that is important in promoting international trade, economic growth, and nutrition. Asian countries such as China, India, Pakistan, Thail…