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Deep Reinforcement Learning for Anomaly Detection: A Systematic Review., , , , , , и . IEEE Access, (2022)iAmideV-Deep: Valine Amidation Site Prediction in Proteins Using Deep Learning and Pseudo Amino Acid Compositions., , , и . Symmetry, 13 (4): 560 (2021)iPhosS(Deep)-PseAAC: Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions., , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (3): 1703-1714 (2022)Enhanced Network Intrusion Detection using Deep Convolutional Neural Networks., и . KSII Trans. Internet Inf. Syst., 12 (10): 5159-5178 (2018)iNitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning., , , и . IEEE Access, (2021)Vulnerabilities Exposing IEEE 802.16e Networks to DoS Attacks: A Survey., , и . SNPD, стр. 344-349. IEEE Computer Society, (2008)iAceS-Deep: Sequence-Based Identification of Acetyl Serine Sites in Proteins Using PseAAC and Deep Neural Representations., , , и . IEEE Access, (2022)ICT Enabled TVET Education: A Systematic Literature Review., , , , и . IEEE Access, (2021)Fostering information security policies compliance with ISA-95-based framework: an empirical study of oil and gas employees., , , и . Int. J. Inf. Sec., 23 (2): 1197-1213 (апреля 2024)Performance Analysis of Secured Privacy and Key Management Protocol in IEEE 802-16e-2005., , , и . JDCTA, 3 (1): 103-109 (2009)