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PDF] A Survey on Machine-Learning Techniques in Cognitive Radios | Semantic Scholar
Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers | Request PDF
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Modulation Scheme Classification in Cognitive Radio Networks Using the Long Short Term Memory (LSTM) of Deep Learning | European Journal of Engineering and Technology Research
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An effective spectrum sensing in cognitive radio networks using improved convolution neural network by glow worm swarm algorithm - K. - 2021 - Transactions on Emerging Telecommunications Technologies - Wiley Online Library
A Survey on Machine-Learning Techniques in Cognitive Radios
A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks | SpringerLink
CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks - ScienceDirect
Application of Reinforcement Learning in Cognitive Radio Networks: Models and Algorithms
Spectrum Sensing for Cognitive Radio using Deep Autoencoder Neural Network and SVM | Semantic Scholar
Artificial Intelligence as an Enabler for Cognitive Self-Organizing Future Networks – IEEE Communications Society Cognitive Networks Technical Committee
Machine Learning for Cognitive Radio Networks Nanjing, China Address: Qihui Wu Recent Advances in Spectrum. - ppt download
Hot Topics in Cognitive Radio of Machine Learning Models | S-Logix
A Survey on Machine Learning Algorithms for Applications in Cognitive Radio Networks: Paper and Code - CatalyzeX
Sensors | Free Full-Text | Machine Learning Techniques Applied to Multiband Spectrum Sensing in Cognitive Radios
Applications of Machine Learning to Cognitive Radio Networks | Semantic Scholar
Figure 3 from A Survey on Machine-Learning Techniques in Cognitive Radios | Semantic Scholar
Applications of Machine Learning to Cognitive Radio Networks | Semantic Scholar
BAE Systems Wins DARPA Contract to Apply Machine Learning to the Radio Frequency Spectrum | Business Wire