Results 11 to 20 of about 3,352,645 (370)
Analytical Modeling of Switching Fabrics of Elastic Optical Networks
IEEE Access, 2020 This article proposes an analytical method for determining the traffic characteristics of multi-service switching networks in elastic optical networks. The method takes into consideration the limitations of W-S-W (wavelength-space-wavelength) switching ...
Mariusz Glabowski +3 more
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Communication optimization strategies for distributed deep neural network training: A survey [PDF]
Journal of Parallel and Distributed Computing 149 (2021) pp. 52-65, 2020 Recent trends in high-performance computing and deep learning have led to the proliferation of studies on large-scale deep neural network training. However, the frequent communication requirements among computation nodes drastically slows the overall training speeds, which causes bottlenecks in distributed training, particularly in clusters with ...
arxiv +1 more source
A Systematic Literature Review on Penetration Testing in Networks: Future Research Directions
Applied Sciences, 2023 Given the widespread use of the internet at the individual, governmental, and nongovernmental levels, and the opportunities it offers, such as online shopping, security concerns may arise.
Mariam Alhamed, M. M. Hafizur Rahman
doaj +1 more source
Realguard: A Lightweight Network Intrusion Detection System for IoT Gateways
Sensors, 2022 Cyber security has become increasingly challenging due to the proliferation of the Internet of things (IoT), where a massive number of tiny, smart devices push trillion bytes of data to the Internet.
Xuan-Ha Nguyen +3 more
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Communicating, Networking: Interacting: The International Year of Global Understanding - IYGU [PDF]
, 2020 Communication Studies; Sustainable Development; Communications Engineering, Networks; Computer Systems Organization and Communication ...
Robertson, Margaret E.
core +4 more sources
Applied Sciences, 2021 From disaster prevention to mitigation, drug analysis to drug design, agriculture to food security, IoT to AI, and big data analysis to knowledge or sentiment mining, a high computation power is a prime necessity at present.
M M Hafizur Rahman +3 more
doaj +1 more source
Geometric deep learning: going beyond Euclidean data [PDF]
, 2016 Many scientific fields study data with an underlying structure that is a non-Euclidean space. Some examples include social networks in computational social sciences, sensor networks in communications, functional networks in brain imaging, regulatory ...
Bronstein, Michael M. +4 more
core +2 more sources
Reliability of computer-communication networks [PDF]
Proceedings of the 5th conference on Winter simulation - WSC '71, 1971 A major consideration in the original design and in the expansion of any computer-communication network is the provision of a network which will be relatively invulnerable to failures of its components. This paper considers the reliability analysis of such networks. Two indices of reliability for a network are introduced. Methods for the calculation of
Howard Frank, Richard Van Slyke
openaire +2 more sources
Energy Informatics, 2023 As power systems transition from controllable fossil fuel plants to variable renewable sources, managing power supply and demand fluctuations becomes increasingly important. Novel approaches are required to balance these fluctuations.
Tim Fürmann +3 more
doaj +1 more source
Microcomb-based integrated photonic processing unit
Nature Communications, 2023 Optical neural networks face remarkable challenges in high-level integration and on-chip operation. In this work the authors enable optical convolution utilizing time-wavelength plane stretching approach on a microcomb-driven chip-based photonic ...
Bowen Bai +13 more
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