Results 11 to 20 of about 35,060 (262)
Quantum Machine Learning for Next-G Wireless Communications: Fundamentals and the Path Ahead
IEEE Open Journal of the Communications Society, 2023 A comprehensive coverage of the state-of-the-art in quantum machine learning (QML) methodologies, with a unique perspective on their applications for wireless communications, is presented.
Bhaskara Narottama +2 more
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Integrating parallelism and asynchrony for high-performance software development [PDF]
E3S Web of Conferences, 2023 This article delves into the crucial roles of parallelism and asynchrony in the development of high-performance software programs. It provides an insightful exploration into how these methodologies enhance computing systems' efficiency and performance ...
Zaripova Rimma +2 more
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Hybrid Application Mapping for Composable Many-Core Systems: Overview and Future Perspective
Journal of Low Power Electronics and Applications, 2020 Many-core platforms are rapidly expanding in various embedded areas as they provide the scalable computational power required to meet the ever-growing performance demands of embedded applications and systems.
Behnaz Pourmohseni +11 more
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International Journal of Mathematical, Engineering and Management Sciences, 2022 One of the most promising frameworks is the fog computing paradigm for time-sensitive applications such as IoT (Internet of Things). Though it is an extended type of computing paradigm, which is mainly used to support cloud computing for executing ...
Sandip Kumar Patel, Ritesh Patel
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Computing with Words in Decision support Systems: An overview on Models and Applications [PDF]
International Journal of Computational Intelligence Systems, 2010 Decision making is inherent to mankind, as human beings daily face situations in which they should choose among different alternatives by means of reasoning and mental processes. Many of these decision problems are under uncertain environments with vague
Luis Martinez +2 more
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Mathematics, 2023 Image classification is typically a research area that trains an algorithm for accurately identifying subjects in images that have never been seen before.
Shtwai Alsubai +5 more
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Applications of NMR and computational methodologies to study protein dynamics [PDF]
Archives of Biochemistry and Biophysics, 2017 Overwhelming evidence now illustrates the defining role of atomic-scale protein flexibility in biological events such as allostery, cell signaling, and enzyme catalysis. Over the years, spin relaxation nuclear magnetic resonance (NMR) has provided significant insights on the structural motions occurring on multiple time frames over the course of a ...
Chitra Narayanan +4 more
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IEEE Access, 2021 Rapid growth of Internet of Things (IoT), and other intelligent devices, introduced different applications which offer real-time latency features; however, it is difficult to handle the large volumes of data produced during the computational process, to ...
Muhammad Bukhsh +2 more
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Developments of Computer Vision and Image Processing: Methodologies and Applications
Future Internet, 2023 The rapid advancement of technology has enabled a vast and ever-growing number of computer applications in real scenarios of our daily life [...]
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An MTCMOS design methodology and its application to mobile computing [PDF]
Proceedings of the 2003 International Symposium on Low Power Electronics and Design, 2003. ISLPED '03., 2003 The multi-threshold CMOS (MTCMOS) technology provides a solution to the high performance and low power design requirements of modern designs. While the low V/sub th/ transistors are used to implement the desired function, the high V/sub th/ transistors are used to cut off the leakage current.
Hyo-Sig Won +5 more
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