Title: Artificial Intelligence Tools and Applications in Embedded and Mobile Systems : Selected Papers from the First International Conference on Embedded and Mobile Systems Icta-emos, 24-25 November 2022, Arusha, Tanzania
Publisher: Springer
Publication Date: 2024
Language: English
ISBN 10: 3031565754
ISBN 13: 9783031565755
Binding: Hardcover
Condition: As New

About this title

Synopsis

The emergence of Artificial Intelligence (AI) has had a tremendous impact on embedded and mobile systems. This book presents a diverse collection of papers that showcase cutting-edge research and practical applications of AI in this field. The peer-reviewed research articles stem from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), which was held on November 24^th – 25^th, 2022, in Arusha, Tanzania, East Africa. They demonstrate the breadth and depth of AI’s impact across various domains, exploring topics such as healthcare advances, transportation optimization, sustainable solutions, and business and process optimization.

About the Author

Prof. Jorge Marx G�mez is a full Professor and Chair of Business Information Systems at Carl von Ossietzky University, Oldenburg, Germany. His research interests include very large business applications, business information systems, federated ERP systems, business intelligence, data warehousing, interoperability and environmental management information systems.

Prof. Anael Sam is an Associate Professor of Information Technology and Chair of the Smart Electronics Systems Development (SeSDev) research group at the Nelson Mandela African Institution of Science and Technology, Tanzania. His research interests include cyber security, electronics engineering, mobile and wireless communication systems, and software quality assurance engineering.

Dr. Devotha Godfrey Nyambo is a Lecturer and Head of Artificial Intelligence and Complexity Sciences at the Nelson Mandela African Institution of Science and Technology, Tanzania. Her research interests include appliedmachine learning, multi-agent systems, modeling and simulations, and agricultural informatics.

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