Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ashhad, Mohd"'
Autor:
Ashhad, Mohd, Henao, Ricardo
Synthetic data generation holds considerable promise, offering avenues to enhance privacy, fairness, and data accessibility. Despite the availability of various methods for generating synthetic tabular data, challenges persist, particularly in specia
Externí odkaz:
http://arxiv.org/abs/2405.17333
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 efficient alternative to more computationally expensive methods of mon
Externí odkaz:
http://arxiv.org/abs/2309.03544
Autor:
Ashhad, Mohd, Goenka, Umang, Jagetia, Aaryan, Akhtari, Parwin, Ambat, Sooraj K., Samuel, Mary
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 classification on the road, but CV methodologies might suffer in poor lighting co
Externí odkaz:
http://arxiv.org/abs/2302.02945
Autor:
Farhat F; Department of Zoology, Aligarh Muslim University, Aligarh, India., Sohail SS; Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India., Alam MT; Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India., Ubaid S; Faculty of Electronic and Information Technology, Warsaw University of Technology, Warsaw, Poland., Shakil; Faculty of Electronic and Information Technology, Warsaw University of Technology, Warsaw, Poland., Ashhad M; Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India., Madsen DØ; USN School of Business, University of South-Eastern Norway, Hønefoss, Norway.
Publikováno v:
Frontiers in artificial intelligence [Front Artif Intell] 2023 Nov 08; Vol. 6, pp. 1266560. Date of Electronic Publication: 2023 Nov 08 (Print Publication: 2023).
