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Exploring embedding vectors for emotion detection.. University of Essex, Colchester, UK, (2020)British Library, EThOS.Identifying idealised vectors for emotion detection using CMA-ES., , и . GECCO (Companion), стр. 157-158. ACM, (2019)Efficient algorithms based on centrality measures for identification of top-K influential users in social networks., , , , и . Inf. Sci., (2020)Efficient Methods to Select Top-K propagators based on Distance and Radius Neighbor., , , , и . ICBDC, стр. 78-85. ACM, (2018)Some Remarks on Cone-Functions and Related Fields., и . J. Optimization Theory and Applications, 177 (3): 857-864 (2018)Design and Implementation of a Lightweight Authentication Framework for the Internet of Things (IoT)., , и . IoTSMS, стр. 185-194. IEEE, (2019)AlphaFold2-Enabled Atomistic Modeling of Structure, Conformational Ensembles, and Binding Energetics of the SARS-CoV-2 Omicron BA.2.86 Spike Protein with ACE2 Host Receptor and Antibodies: Compensatory Functional Effects of Binding Hotspots in Modulating Mechanisms of Receptor Binding and Immune Escape., , , , , и . J. Chem. Inf. Model., 64 (5): 1657-1681 (марта 2024)Lightweight IoT Mutual Authentication Scheme Based on Transient Identities and Transactions History., , и . FPS, том 12056 из Lecture Notes in Computer Science, стр. 387-397. Springer, (2019)Selection of top-K influential users based on radius-neighborhood degree, multi-hops distance and selection threshold., , , , и . J. Big Data, (2018)Credit Card Fraud Detection via Machine Learning., , , , , и . SSD, стр. 64-67. IEEE, (2022)