most citedAttention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Infrared Hotspot-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Under Mechanical Abuse

Syed Sajid Ullah, Salman Khan, Muhammad Zunair Zamir

Mechanical abuse can trigger thermal runaway (TR) in lithium-ion batteries through localized heat generation before sensor signals become decisive. This paper proposes a two-stage…

cs.LG2026

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…

cs.LG2026

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…

cs.CV20262 cited

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…

cs.AI2026

Enhancing Construction Worker Safety in Extreme Heat: A Machine Learning Approach Utilizing Wearable Technology for Predictive Health Analytics

Syed Sajid Ullah, Amir Khan

Construction workers are highly vulnerable to heat stress, yet tools that translate real-time physiological data into actionable safety intelligence remain scarce. This study addre…

cs.CV2025

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…