Zobrazeno 1 - 10
of 3 677
pro vyhledávání: '"A. Rafay"'
Autor:
Farhan Raheel, A. Rafay, Bushra Bibi, Sher Ahmad, Zeeshan Ali, Mohsin Saleem, M. Shoaib Butt, Atiq Ur Rehman, M. Irfan
Publikováno v:
Materials Proceedings, Vol 17, Iss 1, p 4 (2024)
The presence of chemicals, heavy metals, and colorants from textile effluents in water represent a significant health risk. To address this, a range of treatment methods, including ion exchange, membrane processes, physicochemical approaches, and bio
Externí odkaz:
https://doaj.org/article/103d89ee6df642b3b84a9a61c21be741
Autor:
Reza, Zaynab Batool, Syed, Abdul Rafay, Iqbal, Omer, Mensah, Ethel, Liu, Qian, Rahman, Maxx Richard, Maass, Wolfgang
In an era where digital security is crucial, efficient processing of security-related inquiries through supply chain security questionnaires is imperative. This paper introduces a novel approach using Natural Language Processing (NLP) and Retrieval-A
Externí odkaz:
http://arxiv.org/abs/2412.13988
Autor:
Sayyid-Ali, Abdur-Rahman Ibrahim, Rafay, Abdul, Soomro, Muhammad Abdullah, Alizai, Muhammad Hamad, Bhatti, Naveed Anwar
Batteryless IoT systems face energy constraints exacerbated by checkpointing overhead. Approximate computing offers solutions but demands manual expertise, limiting scalability. This paper presents CheckMate, an automated framework leveraging LLMs fo
Externí odkaz:
http://arxiv.org/abs/2411.17732
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
The increasing use of voice assistants and related applications has raised significant concerns about the security of Inertial Measurement Units (IMUs) in smartphones. These devices are vulnerable to acoustic eavesdropping attacks, jeopardizing user
Externí odkaz:
http://arxiv.org/abs/2409.16438
In this paper, we present a novel, scalable approach for constructing open set, instance-level 3D scene representations, advancing open world understanding of 3D environments. Existing methods require pre-constructed 3D scenes and face scalability is
Externí odkaz:
http://arxiv.org/abs/2407.14279
DNA computing is an unconventional approach to computing that harnesses the parallelism and information storage capabilities of DNA molecules. It has emerged as a promising field with potential applications in solving a variety of computationally com
Externí odkaz:
http://arxiv.org/abs/2406.00407
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