Nilayam Kumar Kamila – författare

Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements.

The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts.

Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.

Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements.

The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts.

Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.

The linguistics and language education world has recently experienced a rapidly proliferating interest in applying technology. This interdisciplinary area bridges the gap between two previously separate fields.

Innovations and Applications of Technology in Language Education is a collection of 12 chapters by an international group of language and linguistics education experts. Although technology in language education is a global interest, its practices should be contextualized. This book covers how language educational technology is currently applied, discusses how it should be applied, and gives directions for its future development.

Providing a critical review of respective current practices and perspectives, this book begins by presenting a set of research‑based principles for developing second language teachers’ professionalism. It then examines the use of technology to enhance students’ English language skills. Acknowledging the advantages and disadvantages of AI‑mediated communication, this book argues for the use of AI to facilitate communication in language education. It also proposes the use of AI to develop and administer language tests and suggests guidelines for practitioners to deploy AI in developing and administering language tests efficiently. This book concludes by discussing technology for specific purposes in second language education and the potential of computer‑mediated communication (CMC) to enhance interaction between students.

The linguistics and language education world has recently experienced a rapidly proliferating interest in applying technology. This interdisciplinary area bridges the gap between two previously separate fields.

Innovations and Applications of Technology in Language Education is a collection of 12 chapters by an international group of language and linguistics education experts. Although technology in language education is a global interest, its practices should be contextualized. This book covers how language educational technology is currently applied, discusses how it should be applied, and gives directions for its future development.

Providing a critical review of respective current practices and perspectives, this book begins by presenting a set of research‑based principles for developing second language teachers’ professionalism. It then examines the use of technology to enhance students’ English language skills. Acknowledging the advantages and disadvantages of AI‑mediated communication, this book argues for the use of AI to facilitate communication in language education. It also proposes the use of AI to develop and administer language tests and suggests guidelines for practitioners to deploy AI in developing and administering language tests efficiently. This book concludes by discussing technology for specific purposes in second language education and the potential of computer‑mediated communication (CMC) to enhance interaction between students.