4 papers
Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals
Syed Sajid Ullah, Muhammad Zunair Zamir, Salman Khan
Thermal runaway in lithium-ion batteries poses a major safety risk to electric vehicles and energy storage systems. Current early-warning methods depend mainly on temperature and m…
Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries
Salman Khan, Syed Sajid Ullah, Muhammad Zunair Zamir +3
Accurate prediction of thermal runaway in lithium-ion batteries is essential for ensuring the safety, efficiency, and reliability of modern energy storage systems. Conventional dat…
Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems
Syed Sajid Ullah, Muhammad Zunair Zamir, Ahsan Ishfaq +1
Accurate vehicle detection is a critical component of autonomous driving, traffic surveillance, and intelligent transportation systems. This paper presents an enhanced YOLOv8n-base…
Handwritten Digit Recognition: An Ensemble-Based Approach for Superior Performance
Syed Sajid Ullah, Li Gang, Mudassir Riaz +3
Handwritten digit recognition remains a fundamental challenge in computer vision, with applications ranging from postal code reading to document digitization. This paper presents a…