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Feature engineering and deep learning-based intrusion detection framework for securing edge IoT., , , , и . J. Supercomput., 78 (6): 8852-8866 (2022)Forecasting electricity consumption based on machine learning to improve performance: A case study for the organization of petroleum exporting countries (OPEC)., , , , , , , и . Comput. Electr. Eng., (2020)Cell Selection Technique for Millimeter-Wave Cellular Systems with Cell and Beam Synchronization Signals., , , и . VTC Fall, стр. 1-5. IEEE, (2018)Pulmonary Nodule Detection in CT Images via Deep Neural Network: Nodule Candidate Detection., , и . ICGSP, стр. 79-83. ACM, (2018)Blockchain and Smart Healthcare Security: A Survey., , , и . FNC/MobiSPC, том 175 из Procedia Computer Science, стр. 615-620. Elsevier, (2020)OWL-T for a Semantic Description of IoT., , , , и . ADBIS (Short Papers), том 1259 из Communications in Computer and Information Science, стр. 108-117. Springer, (2020)Thingsourcing to Enable IoT Collaboration., , , , , и . WETICE, стр. 147-152. IEEE, (2020)An interoperable security framework for connected healthcare., , , и . CCNC, стр. 116-120. IEEE, (2011)Enhancing Indoor Positioning Accuracy with WLAN and WSN: A QPSO Hybrid Algorithm with Surface Tessellation., , , , и . Algorithms, 17 (8): 326 (августа 2024)Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart Education., , , , и . Inf., 15 (5): 277 (мая 2024)