A Hypothesis Testing for Large Weighted Networks With Applications to Functional Neuroimaging Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3032391
Abstract: Neuroimaging techniques have been routinely applied in various studies in neuroscience, which contribute to providing novel insights into brain functions. One of the most important and challenging questions related to data collected from such studies… read more here.
Keywords: networks applications; hypothesis testing; weighted networks; large weighted ... See more keywords
Mostar Index of Neural Networks and Applications
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DOI: 10.1109/access.2023.3246734
Abstract: Neural networks are mathematical models that use learning algorithms inspired by the brain to store information. These networks have been extensively used to operate cognitive functions, robustness, fault tolerance, flexibility, collective computation, and ability to… read more here.
Keywords: index; neural networks; networks applications; network ... See more keywords
Beyond private 5G networks: applications, architectures, operator models and technological enablers
Sign Up to like & getrecommendations! Published in 2021 at "Eurasip Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-021-02067-2
Abstract: Private networks will play a key role in 5G and beyond to enable smart factories with the required better deployment, operation and flexible usage of available resource and infrastructure. 5G private networks will offer a… read more here.
Keywords: operator models; private networks; networks applications; beyond private ... See more keywords
Spiking Neural Networks and Their Applications: A Review
Sign Up to like & getrecommendations! Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12070863
Abstract: The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs. With the… read more here.
Keywords: networks applications; neural networks; deep neural; spiking neural ... See more keywords