… This book provides a practical approach to designing machine elements in the context of …
a comprehensive introduction to the basic principles, design techniques and analytical tools …

… with an overview of … machine teaming on target acquisition, there is also discussion of ‘autonomous
planning ability’ (自主规划能力) that suggests greater inclusion of machine learning …

… Smart transportation In recent times traffic is one of the major problems in a city. The intelligent
transportation system is … Jena, An overview of smart contract and use cases in blockchain …

… issues in the IoT system. In this paper, an intelligent transportation system is considered as
the … issue associated with this infrastructure how machine learning can solve these issues …

… Introduction Agriculture is the lifeblood of human civilization, providing the sustenance that …
between IoT-enabled predictive analytics and machine learning within the agricultural domain…

… as inventory control databases, smart homes, smart transportation, and smart healthcare [4],
[5]… A detailed overview of the proposed solution is provided, which accomplishes a very high …

… This study uses machine learning algorithms to detect Android malware in the Android …
Machine learning algorithms were trained using the balanced dataset with selected features…

… A CP vision deep learning estimation for the identification of human gestures has been
proposed. The platform is developed for the interpretation of twelve types of human exercises …

… As a hot spot in the field of intelligent transportation, … This review focused on four parts with
introduction of sensors related … Semantic SLAM for dynamic scenes based on deep learning[…

… NOMA-assisted multi-access mobile edge computing: A joint optimization of computation …
art deep learning algorithms for vehicle detection[J]. IEEE Intelligent Transportation Systems …