Авторы:
Дата издания
22.01.2024На каком языке издана
ISSN
ISBN 978-3-031-81798-4Область исследования
Тип исследования
Аннотация (краткое описание)
The following article studies research on cognitive technologies and their application in the transportation of mining waste. Special attention is paid to the development and implementation of intelligent systems which are able to automate the processes of monitoring, analysis and waste recycling. There were discussed the examples of using machine learning and artificial intelligence to improve the efficiency of waste management, minimize their negative impact on the environment and improve the economic indexes of companies. Cognitive technologies allow transport companies to expand their functions in summarizing and processing huge volumes of structured and unstructured data, use machine learning tools for data analysis, execute queries and get the most accurate answers, at the same time ensuring the safety of cargo. In order to increase the effectiveness and speed of transportation, customer service at all stages and at the same time reduce the effect of the “human factor”, it is necessary to develop an offer that will be most optimal for everyone.DOI
https://doi.org/10.1007/978-3-031-81799-1_28Тип публикаций
Практическое значение
In the context of Industry 4.0 people and machines work together using cognitive tech-nologies in the production sphere. Intelligent machines utilize speech recognition, com-puter vision, machine learning and advanced models of synchronization to help people do most of their work. If waste transportation is taken as an example, then multi-agent technology can be used for parallel control of robots with agent architecture and distributed agents to facilitate the implementation of intelligent productionДанный документ располагается в коллекциях
Международные публикации ученых SU
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Файлы документа
Proceeding 3rd Cognitive Mobility Conference-330-335 (1).pdf