Zobrazeno 1 - 10
of 7 984
pro vyhledávání: '"A. Qadeer"'
In this paper we propose MA-DV2F: Multi-Agent Dynamic Velocity Vector Field. It is a framework for simultaneously controlling a group of vehicles in challenging environments. DV2F is generated for each vehicle independently and provides a map of refe
Externí odkaz:
http://arxiv.org/abs/2411.06404
Automated driving systems face challenges in GPS-denied situations. To address this issue, kinematic dead reckoning is implemented using measurements from the steering angle, steering rate, yaw rate, and wheel speed sensors onboard the vehicle. Howev
Externí odkaz:
http://arxiv.org/abs/2410.12208
Contemporary research in autonomous driving has demonstrated tremendous potential in emulating the traits of human driving. However, they primarily cater to areas with well built road infrastructure and appropriate traffic management systems. Therefo
Externí odkaz:
http://arxiv.org/abs/2409.05119
Traffic flow prediction is a big challenge for transportation authorities as it helps plan and develop better infrastructure. State-of-the-art models often struggle to consider the data in the best way possible, as well as intrinsic uncertainties and
Externí odkaz:
http://arxiv.org/abs/2407.12238
Publikováno v:
Eur. Phys. J. C 83 (2023) 522
The objective of this manuscript is to investigate the traversable wormhole solutions in the background of the $f(R, \phi)$ theory of gravity, where $R$ is the Ricci scalar and $\phi$ is the scalar potential respectively. For this reason, we use the
Externí odkaz:
http://arxiv.org/abs/2404.02946
Autor:
Qadeer, Areej, author, Brezing, Christina, author
Publikováno v:
Food & Addiction : A Comprehensive Handbook, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780190671051.003.0049
Contemporary large-scale visual language models (VLMs) exhibit strong representation capacities, making them ubiquitous for enhancing image and text understanding tasks. They are often trained in a contrastive manner on a large and diverse corpus of
Externí odkaz:
http://arxiv.org/abs/2311.03964
Autor:
Qadeer, Saad, Engel, Andrew, Howard, Amanda, Tsou, Adam, Vargas, Max, Stinis, Panos, Chiang, Tony
Despite their immense promise in performing a variety of learning tasks, a theoretical understanding of the limitations of Deep Neural Networks (DNNs) has so far eluded practitioners. This is partly due to the inability to determine the closed forms
Externí odkaz:
http://arxiv.org/abs/2310.18612
Autor:
Muhammad Abdul Qadeer, Ali Abdullah, Amber Noorani, Abdul Hadi Khan, Muhammad Saqlain Mustafa, Zain Ali Nadeem, Shahzaib Samad, Muhammad Usama Siddiq, Rabeeya Qutub Uddin Siddiqui, Sameh M. Said
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 19, Iss 1, Pp 1-13 (2024)
Abstract Background and objective Tricuspid valve replacement (TVR) is required when repair is not feasible, and it continues to be a relatively high-risk procedure owing to the complex medical and/or surgical profile of patients. The choice between
Externí odkaz:
https://doaj.org/article/a282758b6f304e0490182c31d1655a20
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 31985-32013 (2024)
In this paper, we explore the bifurcation, chaos, and local stability of a discrete Hepatitis C virus infection model. More precisely, we studied the local stability at fixed points of a discrete Hepatitis C virus model. We proved that at a partial i
Externí odkaz:
https://doaj.org/article/5d7226e72bfe4fbf9fb3c32cdc165e60