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Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds.

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Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds., , , , , , and . CoRR, (2022)P300 Speller Efficiency with Common Average Reference., , , , , and . AIS, volume 7326 of Lecture Notes in Computer Science, page 234-241. Springer, (2012)MACC Net: Multi-task attention crowd counting network., , , , , , and . Appl. Intell., 53 (8): 9285-9297 (April 2023)Parametrized Benchmarking: an outline of the idea and a feasibility study., , and . GECCO Companion, page 197-198. ACM, (2020)Analytical Model of Enhancing Traffic Performance Based on Weighted Nodes., , , and . UKSim, page 337-342. IEEE Computer Society, (2016)Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems., , , and . CEC, page 1-8. IEEE, (2020)Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark Problems., , , , and . CEC, page 841-848. IEEE, (2021)Gaining-Sharing Knowledge Based Algorithm With Adaptive Parameters for Engineering Optimization., , , and . IEEE Access, (2021)Generalized Adaptive Differential Evolution algorithm for Solving CEC 2020 Benchmark Problems., , and . NILES, page 391-396. IEEE, (2020)LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems., , , and . CEC, page 145-152. IEEE, (2017)