5 papers
Estimating link level traffic emissions: enhancing MOVES with open-source data
Lijiao Wang, Muhammad Usama, Haris N. Koutsopoulos +1
Open-source data offers a scalable and transparent foundation for estimating vehicle activity and emissions in urban regions. In this study, we propose a data-driven framework that…
Real Time Headway Predictions in Urban Rail Systems and Implications for Service Control: A Deep Learning Approach
Muhammad Usama, Haris Koutsopoulos
Efficient real-time dispatching in urban metro systems is essential for ensuring service reliability, maximizing resource utilization, and improving passenger satisfaction. This st…
Memory-Augmented Architecture for Long-Term Context Handling in Large Language Models
Haseeb Ullah Khan Shinwari, Muhammad Usama
Large Language Models face significant challenges in maintaining coherent interactions over extended dialogues due to their limited contextual memory. This limitation often leads t…
ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
Haseeb Ullah Khan Shinwari, Muhammad Usama
Conventional Low-Rank Adaptation (LoRA) methods employ a fixed rank, imposing uniform adaptation across transformer layers and attention heads despite their heterogeneous learning…
Analysing the Robustness of Vision-Language-Models to Common Corruptions
Muhammad Usama, Syeda Aishah Asim, Syed Bilal Ali +2
Vision-language models (VLMs) have demonstrated impressive capabilities in understanding and reasoning about visual and textual content. However, their robustness to common image c…