Zobrazeno 1 - 10
of 20 998
pro vyhledávání: '"M, Hassan"'
Public transportation systems are experiencing an increase in commuter traffic. This increase underscores the need for resilience strategies to manage unexpected service disruptions, ensuring rapid and effective responses that minimize adverse effect
Externí odkaz:
http://arxiv.org/abs/2408.17233
In neural network (NN) security, safeguarding model integrity and resilience against adversarial attacks has become paramount. This study investigates the application of stochastic computing (SC) as a novel mechanism to fortify NN models. The primary
Externí odkaz:
http://arxiv.org/abs/2407.04861
Autor:
Goldsmith, Daniel, Mahmud, M M Hassan
Quantum machine learning (QML) is a promising early use case for quantum computing. There has been progress in the last five years from theoretical studies and numerical simulations to proof of concepts. Use cases demonstrated on contemporary quantum
Externí odkaz:
http://arxiv.org/abs/2404.18555
In recent years, handheld and portable terahertz instruments have been in rapid development for various applications ranging from non-destructive testing to biomedical imaging and sensing. For instance, we have deployed our Portable Handheld Spectral
Externí odkaz:
http://arxiv.org/abs/2403.13958
Hyperdimensional computing (HDC) is a novel computational paradigm that operates on long-dimensional vectors known as hypervectors. The hypervectors are constructed as long bit-streams and form the basic building blocks of HDC systems. In HDC, hyperv
Externí odkaz:
http://arxiv.org/abs/2311.10778
Autor:
Aygun, Sercan, Najafi, M. Hassan
Hyperdimensional computing (HDC) is an emerging computing paradigm with significant promise for efficient and robust learning. In HDC, objects are encoded with high-dimensional vector symbolic sequences called hypervectors. The quality of hypervector
Externí odkaz:
http://arxiv.org/abs/2311.10277
Autor:
Jalilvand, Amir Hossein, Banitaba, Faeze S., Estiri, Seyedeh Newsha, Aygun, Sercan, Najafi, M. Hassan
Sorting is a fundamental operation in various applications and a traditional research topic in computer science. Improving the performance of sorting operations can have a significant impact on many application domains. For high-performance sorting,
Externí odkaz:
http://arxiv.org/abs/2310.07903
Stochastic Computing (SC) is an unconventional computing paradigm processing data in the form of random bit-streams. The accuracy and energy efficiency of SC systems highly depend on the stochastic number generator (SNG) unit that converts the data f
Externí odkaz:
http://arxiv.org/abs/2309.05235
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract X-ray diffraction (XRD), scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were used to investigate the structural, surface and particles properties of a series of zinc oxides (ZnO) doped with polyvinyl alcohol (P
Externí odkaz:
https://doaj.org/article/2bf7dd4f3d7040058b91ff7695d73929
Autor:
Zin Tarakji, Adel Kanaan, Samer Saadi, Mohammed Firwana, Adel Kabbara Allababidi, Mohamed F. Abusalih, Rami Basmaci, Tamim I. Rajjo, Zhen Wang, M. Hassan Murad, Bashar Hasan
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-5 (2024)
Abstract Background Assessing the methodological quality of case reports and case series is challenging due to human judgment variability and time constraints. We evaluated the agreement in judgments between human reviewers and GPT-4 when applying a
Externí odkaz:
https://doaj.org/article/142a5f8953c7496fb9acc0d247cb26d3