Zobrazeno 1 - 10
of 660
pro vyhledávání: '"Bahar, R."'
Autor:
Bahar R, Zulkafli Z, Zulkeflee RH, Hassan MN, Rahman Wan S Wan Ab, Noor NH M, Ramli M, Hussin A, Abdullah AD, Iberahim S, Abdullah M, Yusoff S M
Publikováno v:
Balkan Journal of Medical Genetics, Vol 27, Iss 1, Pp 65-67 (2024)
Haemoglobin (Hb) Malay is variant haemoglobin with a β++ thalassemia phenotype. The prevalence of Hb Malay in the Malaysian population was 5.5%. We describe a 58-year-old male who presented with symptomatic anaemia to the Hospital Universiti Sains M
Externí odkaz:
https://doaj.org/article/1a9eedc3cffe4f0aa318e5ccae7df175
A major challenge in research involving artificial intelligence (AI) is the development of algorithms that can find solutions to problems that can generalize to different environments and tasks. Unlike AI, humans are adept at finding solutions that c
Externí odkaz:
http://arxiv.org/abs/2110.04664
Algorithms based on Monte-Carlo sampling have been widely adapted in robotics and other areas of engineering due to their performance robustness. However, these sampling-based approaches have high computational requirements, making them unsuitable fo
Externí odkaz:
http://arxiv.org/abs/2007.07425
Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond
Autor:
Bahar, R. Iris, Jones, Alex K., Katkoori, Srinivas, Madden, Patrick H., Marculescu, Diana, Markov, Igor L.
Integrated circuits and electronic systems, as well as design technologies, are evolving at a great rate -- both quantitatively and qualitatively. Major developments include new interconnects and switching devices with atomic-scale uncertainty, the d
Externí odkaz:
http://arxiv.org/abs/2005.01588
Autor:
Chen, Xiaotong, Chen, Rui, Sui, Zhiqiang, Ye, Zhefan, Liu, Yanqi, Bahar, R. Iris, Jenkins, Odest Chadwicke
Recent advancements have led to a proliferation of machine learning systems used to assist humans in a wide range of tasks. However, we are still far from accurate, reliable, and resource-efficient operations of these systems. For robot perception, c
Externí odkaz:
http://arxiv.org/abs/1903.08352
Deep neural networks are gaining in popularity as they are used to generate state-of-the-art results for a variety of computer vision and machine learning applications. At the same time, these networks have grown in depth and complexity in order to s
Externí odkaz:
http://arxiv.org/abs/1612.03940
We present a novel dynamic configuration technique for deep neural networks that permits step-wise energy-accuracy trade-offs during runtime. Our configuration technique adjusts the number of channels in the network dynamically depending on response
Externí odkaz:
http://arxiv.org/abs/1607.05418
Akademický článek
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Akademický článek
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