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Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction.

, , , , , , and . J. Big Data, 11 (1): 33 (December 2024)

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Tradeoff Between Sensing Quality and Network Lifetime for Heterogeneous Target Coverage Using Directional Sensor Nodes., , , , , and . IEEE Access, (2017)A Low Duty Cycle MAC Protocol for Directional Wireless Sensor Networks., , , , and . Wirel. Pers. Commun., 96 (4): 5035-5059 (2017)A duty cycle directional MAC protocol for wireless sensor networks., , , and . NSysS, page 1-9. IEEE, (2015)Target Coverage-Aware Clustering for Directional Sensor Networks., , , and . ISPA/IUCC, page 116-120. IEEE, (2017)Performance, Usability, and User Experience of Rayyan for Systematic Reviews., , and . ASIST, volume 59 of Proc. Assoc. Inf. Sci. Technol., page 843-844. Wiley, (2022)Grid-Search Integrated Optimized Support Vector Machine Model for Breast Cancer Detection., , , and . BIBM, page 2846-2852. IEEE, (2022)Collaborative neighbor discovery in directional wireless sensor networks: algorithm and analysis., , , , , , , and . EURASIP J. Wirel. Commun. Netw., (2017)Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture., , , and . Intell. Syst. Appl., (2022)A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection., , , and . IEEE Access, (2023)MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs., , , , and . CoRR, (2024)