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Συνεισφορές: Chakraborty, Mainak, Author, Daneshtalab, Masoud, Author

Πηγή: IEEE Transactions on Aerospace and Electronic Systems. 62:3044-3059

Θεματικοί όροι: Deep learning, frequency-domain complex-valued convolutional neural networks, frequency-domain complex-valued learnable activation function, radar signal processing, synthetic aperture radar, Activation analysis, Antennas, Chemical activation, Classification (of information), Complex networks, Computational complexity, Continuous wave radar, Convolution, Convolutional neural networks, Deep neural networks, Frequency domain analysis, Land use, Open systems, Radar target recognition, Radioactivity logging, Tensors, Unmanned aerial vehicles (UAV), Activation functions, Complex-valued, Convolutional neural network, Domain complexes, Frequency domains, Frequency-domain complex-valued convolutional neural network, Radar signals, Signal-processing

Περιγραφή αρχείου: print

Σύνδεσμος πρόσβασης: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-75339
https://doi.org/10.1109/TAES.2025.3646567

Graph Representation Learning in Wireless Communication and Tourist Movement Analysis

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Secure CNN Inference With Adaptive Activation Functions Based on Mutual Information Optimization

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Comprehensive Characteristic Surface Reconstruction of Hydraulic Turbines Using KAN with B-Spline Activation Functions

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EEG Signal Classification with a Novel Adaptive Quadratic Activation Function

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