Results 251 to 260 of about 305,481 (299)

Mitigating cognitive decline in Alzheimer's disease dementia by enhancing cognitive reserve through neuroplasticity in addition to amyloid-β reduction. [PDF]

Front Aging Neurosci
Ubuka T, Yuyama K, Genjima A, Nagakura M, Kato K, Hayashi S, Makino N, Yamane T, Hirose T, Yamane Y.   +9 more
europepmc   +1 more source

DGrA: Lightweight Modulation Recognition Based on Hybrid Neural Networks. [PDF]

Sensors (Basel)
Chen X, Gao R, Xu D, Zhu H.
europepmc   +1 more source

Electromagnetic situation awareness and modeling for space-air-ground integrated networks. [PDF]

Natl Sci Rev
An J, Tao Y, Zhang X, Hua Z, Wang S, Pan G, Yang X, Niyato D, Karagiannidis GK.   +8 more
europepmc   +1 more source

Lower resting-state functional connectivity between frontoparietal and sensory networks is associated with recent pain intensity in a community sample of youth. [PDF]

Neuroimage Rep
Bango CI, Jones SA, Morales AM, Shao S, Del Rubin DY, Lopez Flores A, Holley AL, Nagel BJ, Wilson AC.   +8 more
europepmc   +1 more source

Superconducting artificial neural networks and quantum circuits. [PDF]

Beilstein J Nanotechnol
Sidorenko AS.
europepmc   +1 more source

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Network Coding in Cognitive Radio Networks: A Comprehensive Survey

IEEE Communications Surveys and Tutorials, 2017
Mubashir Husain Rehmani, Yasir Saleem, Noel Crespi   +2 more
exaly   +2 more sources

Cognitive Radio Network and Network Service Chaining toward 5G: Challenges and Requirements

IEEE Communications Magazine, 2017
Ioanna Kakalou, Kostas E Psannis, Piotr Krawiec   +2 more
exaly   +2 more sources

Network layer attacks and countermeasures in cognitive radio networks: A survey

Journal of Information Security and Applications, 2018
Mounia Bouabdellah, Naima Kaabouch, Faissal El Bouanani   +2 more
exaly   +2 more sources

Spectrum Sensing Based on Spectrogram-Aware CNN for Cognitive Radio Network

IEEE Wireless Communications Letters, 2022
Spectrum sensing is one of the key problems in the cognitive radio network. Existing spectrum sensing methods commonly use deep learning models such as the convolutional neural network (CNN) and the long short-term memory network (LSTM).
Lianning Cai, K. Cao, Yongpeng Wu, Yuan Zhou   +3 more
semanticscholar   +1 more source

A survey of spectrum sensing algorithms for cognitive radio applications

IEEE Communications Surveys and Tutorials, 2009
Huseyin Arslan
exaly   +2 more sources