Téléchargez le livre : Driving Green Transportation System Through Artificial Intelligence and Automation

Driving Green Transportation System Through Artificial Intelligence and Automation

Approaches, Technologies and Applications

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Éditeur :

Springer


Paru le : 2025-01-11



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Description

This book is designed to help transportation professionals and construction experts to develop and implement successful smart systems, leveraging the current trends, equipment, and advanced technologies to drive the green transportation system development. Artificial intelligence (AI) is a new direction that has opened a revolution in technology and smart applications, and it is also the basis for creating a green environment in the net-zero era. Therefore, machines, devices, self-driving car, and robots controlled by artificial intelligence-based systems are now the model of a smart transportation ecosystem for which all these technologies are referred to as "green" industries. In past years, the idea of making a green environment has been existing and moving on the society 5.0 being as a country strategy, and today, AI technology continues its development on this prototype. Nowadays, AI has begun actions to resemble a person in a real sense, and the idea of human-liked robotics put forward by scientists has started to be realized and will probably complete its development as living machines in the near future. AI has many subsystems and application in various industries, some of which have automation more accurately and are more integrated in modern industries.  This book also targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices to resolve the challenging issues associated with the leveraging of AI and Industrial Internet of Things (IIoT) in green transportation ecosystem.
Pages
636 pages
Collection
n.c
Parution
2025-01-11
Marque
Springer
EAN papier
9783031726163
EAN PDF
9783031726170
Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
63
Taille du fichier
18186 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
200,44 €
EAN EPUB
9783031726170
Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
63
Taille du fichier
35430 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
200,44 €

Alex Khang is a professor in Information Technology, D.Sc. D.Litt., AI and Data Scientist, AI and Data Science Research Center, Global Research Institute of Technology and Engineering, Raleigh, North Carolina, USA. He has more than 28 years of experience in teaching and researching of computer science and data science at the universities and institutions of computer science and information technology in Vietnam, India, and the USA. He has over 30 years of working experience as software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the USA, Singapore, and multinationals. He has published many articles, 165+ documents indexed Scopus, 54 authored books (software development). He has published 30 edited books, 150 book chapters, and calling for book chapters for 5+ edited books in the fields of AI ecosystem.

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