2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.SP2025
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
Mohd Ashhad, Sana Rahmani, Mohammed Fayiz +2
We propose a deep neural architecture that performs uncertainty-aware multi-view classification of arrhythmia from ECG. Our method learns two different views (1D and 2D) of single-…
cs.SD2023★ 2 cited
MVD:A Novel Methodology and Dataset for Acoustic Vehicle Type Classification
Mohd Ashhad, Omar Ahmed, Sooraj K. Ambat +2
Rising urban populations have led to a surge in vehicle use and made traffic monitoring and management indispensable. Acoustic traffic monitoring (ATM) offers a cost-effective and…
cs.SD2023
Improved Vehicle Sub-type Classification for Acoustic Traffic Monitoring
Mohd Ashhad, Umang Goenka, Aaryan Jagetia +3
The detection and classification of vehicles on the road is a crucial task for traffic monitoring. Usually, Computer Vision (CV) algorithms dominate the task of vehicle classificat…