Background: Understanding transcriptomic state-transition dynamics is important for elucidating cancer progression and therapeutic response, yet existing single-cell transcriptomic approaches primarily characterize gene-expression changes or pseudotemporal ordering rather than the dynamical organization of cellular-sta...
Hamid D. Ismail, A. Harb, Basem M. William et al.· BioMedInformatics· 0 citations
Early prediction of nonlinear instability in phase-locked loops (PLLs) is essential for ensuring the reliability of modern power electronic and communication systems. This paper presents QDRFormer, a quantum-inspired density representation learning framework integrating density-matrix-based features, local instability...
Hamid D. Ismail, A. Harb, B. Gokaraju et al.· IEEE Access· 0 citations
Urban public transportation systems are widely used, yet most route planning tools primarily optimize objective factors such as travel time or distance, often overlooking subjective aspects of the travel experience such as comfort, crowding, and walking tolerance. As a result, routes that are optimal by technical crite...
This paper presents a text based frame-work for identifying and analyzing behavioral traits in public transit users using natural language data. Instead of relying on traditional surveys, the approach extracts behavior patterns directly from user generated text, such as reviews or social media posts. Each sample is rep...
