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Supporting Big Moving Objects Tracking and Analysis: An Innovative Scan-Matching Algorithm.

, , , and . SEBD, volume 3194 of CEUR Workshop Proceedings, page 404-414. CEUR-WS.org, (2022)

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An effective and efficient hybrid scan matching algorithm for mobile object applications., , and . SAC, page 522-528. ACM, (2017)Event Detection in Complex Environments: An Effective and Efficient Machine-Learning-Based Framework (S)., and . DMSVIVA, page 103-124. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2019)Optimal multepulse excitation determination by simulated annealing., and . EUROSPEECH, page 1131-1134. ISCA, (1993)Multimodal interface within a simulator of service robotic applications., , and . AVI, page 133-137. ACM, (2002)Workload modeling using pseudo2D-HMM., , and . MASCOTS, page 1-2. IEEE Computer Society, (2009)Algorithms and Architectures for Acoustic Localization Based on Microphone Array in Service Robotics., , and . ICRA, page 2966-2971. IEEE, (2000)GPU-Aware Genetic Estimation of Hidden Markov Models for Workload Classification Problems., , , and . COMPSAC, page 674-682. IEEE Computer Society, (2016)Runtime Anomaly Detection in Embedded Systems by Binary Tracing and Hidden Markov Models., , and . COMPSAC, page 15-22. IEEE Computer Society, (2015)A fuzzy approach to text-to-speech synthesis., and . EUSIPCO, page 1-4. IEEE, (1998)An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments., , , and . IDEAL (2), volume 11872 of Lecture Notes in Computer Science, page 225-237. Springer, (2019)