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pro vyhledávání: '"HASAN, SYED"'
This letter introduces a novel analytical approach to calculating phase-space integrals, crucial for precision in particle physics. We develop a method to compute angular components using multifold Mellin-Barnes integrals, yielding results in terms o
Externí odkaz:
http://arxiv.org/abs/2410.18886
Autor:
Asif, Muneeba, Kazmi, Mohammad Kumail, Rahman, Mohammad Ashiqur, Hasan, Syed Rafay, Homsi, Soamar
As edge computing and the Internet of Things (IoT) expand, horizontal collaboration (HC) emerges as a distributed data processing solution for resource-constrained devices. In particular, a convolutional neural network (CNN) model can be deployed on
Externí odkaz:
http://arxiv.org/abs/2409.17279
Autor:
Hasan, Syed Mhamudul
In high-stake environments like emergency response or elder care, the integration of large language model (LLM), revolutionize risk assessment, resource allocation, and emergency responses in Human Activity Recognition (HAR) systems by leveraging dat
Externí odkaz:
http://arxiv.org/abs/2410.03546
Cyber-physical systems have become an essential part of the modern healthcare industry. The healthcare cyber-physical systems (HCPS) combine physical and cyber components to improve the healthcare industry. While HCPS has many advantages, it also has
Externí odkaz:
http://arxiv.org/abs/2407.18407
Publikováno v:
2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
With the proliferation of edge devices, there is a significant increase in attack surface on these devices. The decentralized deployment of threat intelligence on edge devices, coupled with adaptive machine learning techniques such as the in-context
Externí odkaz:
http://arxiv.org/abs/2405.08755
The widespread adoption of machine learning (ML) across various industries has raised sustainability concerns due to its substantial energy usage and carbon emissions. This issue becomes more pressing in adversarial ML, which focuses on enhancing mod
Externí odkaz:
http://arxiv.org/abs/2403.19009
Autor:
Abid, Muhammad, Fazal e Hasan, Syed Muhammad, Ahmadi, Hormoz, Amrollahi, Alireza, Mortimer, Gary
Publikováno v:
International Journal of Retail & Distribution Management, 2024, Vol. 52, Issue 12, pp. 1172-1189.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJRDM-03-2023-0195
Autor:
Sanderson, Jonathan, Hasan, Syed Rafay
Use of edge computing in application of Computer Vision (CV) is an active field of research. Today, most CV applications make use of Convolutional Neural Networks (CNNs) to inference on and interpret video data. These edge devices are responsible for
Externí odkaz:
http://arxiv.org/abs/2312.09506
Autor:
Sanderson, Jonathan, Hasan, Syed Rafay
Neural Networks (NNs) have become indispensable for applications of Computer Vision (CV) and their use has been ever-growing. NNs are commonly trained for long periods of time on datasets like ImageNet and COCO that have been carefully created to rep
Externí odkaz:
http://arxiv.org/abs/2312.09509
The global semiconductor supply chain involves design and fabrication at various locations, which leads to multiple security vulnerabilities, e.g., Hardware Trojan (HT) insertion. Although most HTs target digital circuits, HTs can be inserted in anal
Externí odkaz:
http://arxiv.org/abs/2310.03994