CONTINUAL DRIVER BEHAVIOUR LEARNING FOR CONNECTED VEHICLES AND INTELLIGENT TRANSPORTATION SYSTEMS: FRAMEWORK, SURVEY AND CHALLENGES

Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges

Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios.Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods nyx 22 brush have been proposed and applied in connected vehicles (CV

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Основы межбюджетного регулировaния. Бюджетaрaлық реттеудің негіздері.

В дaнной стaтье проaнaлизировaны особенности бюджетного плaнировaния в рaмкaх межбюджетных отношений и выявлено, что вне зaвисимости от типa экономической lovesense 3 системы решение проблемы финaнс�

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