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Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey.

, , , , , and . Artif. Intell. Rev., 56 (2): 865-913 (February 2023)

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A Lightweight Blockchain Based Cybersecurity for IoT environments., , , , and . CSCloud/EdgeCom, page 139-144. IEEE, (2019)Hybrid deep-learning model to detect botnet attacks over internet of things environments., and . Soft Comput., 26 (16): 7721-7735 (2022)A Secure Lightweight Mutual Authentication and Message Exchange Protocol for IoT Environments Based on the Existence of Active Server., , , , , and . ICICT (1), volume 1041 of Advances in Intelligent Systems and Computing, page 375-384. Springer, (2019)A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods., , , , , and . Neural Comput. Appl., 34 (3): 1837-1875 (2022)Requirements capture and comparative analysis of open source versus proprietary service oriented architecture.. Comput. Stand. Interfaces, (2021)Analysis of Cybersecurity Based on Li-Fi in Green Data Storage Environments., , , and . CSCloud, page 327-332. IEEE Computer Society, (2017)CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection., , , , , and . IEEE Access, (2020)An Effective Intrusion Detection System Using Homogeneous Ensemble Techniques., , and . Int. J. Inf. Secur. Priv., 16 (1): 1-18 (2022)Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey., , , , , and . Artif. Intell. Rev., 56 (2): 865-913 (February 2023)Efficient dynamic-power AODV routing protocol based on node density.. Comput. Stand. Interfaces, (2020)