Advancement in Embedded and Mobile Systems

Proceedings of the 2nd ICTA-EMOS Conference, 19-20 September 2024, Kigali, Rwanda
Erscheinungsjahr 2026
ISBN: 978-3-031-99218-6
Verlag: Springer

Buch, Englisch, 509 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1039 g

Reihe: Progress in IS

This book compiles a selection of research papers presented at the Second International Conference on Embedded and Mobile Systems (ICTA-EMOS), held on September 19–20, 2024, in Kigali, Rwanda. The contributions discuss mobile systems applications in transportation, agriculture, health care, and energy management, among other fields. Emphasizing the fusion of intelligence and security, these papers demonstrate how advanced embedded and mobile systems are paving the way for a smarter and safer future.

The book highlights the  potential of advanced technologies in shaping a smarter and more secure world, addressing topics such as transportation and mobility solutions, smart manufacturing and agriculture, ICT infrastructure and resource management, robotics and artificial intelligence in healthcare and energy management, system integration and control, and innovative solutions for monitoring.

Zielgruppe

Research

Autoren/Hrsg.

Marx Gómez, Jorge

Gatera, Antoine

Godfrey Nyambo , Devotha

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

Digi-face Cross-Platform Mobile App for Online Teaching, Learning, and Research:  A Case Study of African Higher Education Communities.- A Data-Driven Web-Based System for Regional Program Accreditation: The case of Inter-University Council for East Africa (IUCEA).- Connecting Manufacturing Sector Data Ecosystems with Federated Learning.- Secure and Efficient Paperless Teller Desk Transactions through Biometric and RFID Technology.- Internet of Things-Based System for Real-Time Monitoring of Margarine Production Process: A Case Study of SAVONOR in Burundi.- Design and Development of an Internet of Things (IoT)- Based Smart Monitoring System For Community Water Wells in Rwanda.- A Mobile-based Machine Learning Model for Predicting Maintenance of Dental Machines for Health Facilities.- Digitization of End-to-End Value Streams: Conceptualizing a Data Model Based on Complex Graph Networks for AI-Based Tools.- IoT - based system for maintaining constant taste.- The interconnection between Artificial Intelligence (AI) and the film industry.

Über Autor(innen)

Jorge Marx Gómez is Full Professor and Chair of Business Information Systems at Carl von Ossietzky University, Oldenburg, Germany. He is the Director of the Center for Environmental and Sustainability Research (COAST) at Oldenburg University and a Board Member of the Energy Group at OFFIS-Institute (Oldenburg). Furthermore, he is the German Speaker of the working group Environmental Management Information Systems in the GI (Gesellschaft für Informatik e.V.) association. In addition, Dr. Marx Gómez is a Board Member of the Oldenburg Center for Sustainability Economics and Management—CENTOS (Oldenburg University)—and a Board Member of the Open-Source Business Alliance Group (OSB). His research interests include very large business applications, business information systems, federated ERP systems, business intelligence, data warehousing, interoperability, and environmental management information systems. 
 
Antoine Gatera is a Researcher at the Faculty of Education, University of Technology and Arts of Byumba (UTAB), Rwanda. He specializes in the Internet of Things (IoT) with a focus on wireless sensor networks. His research spans diverse applications, including machine learning for road accident forecasting, intelligent transportation systems, and IoT-based solutions for health care and agriculture.
 
Devotha G. Nyambo is Senior Lecturer and Researcher at the Nelson Mandela African Institution of Science and Technology (NM-AIST), Tanzania. She is Recipient of the prestigious UNESCO-L’Oreal Young Talents Awards 2023 and also 2024 Mandela Washington Fellow. Dr. Nyambo leads the Artificial Intelligence and Complexity Sciences research group at the NM-AIST and the Agriculture and Environmental Conservation group at Africa's Anglophone Artificial Intelligence for Development (AI4D) Multidisciplinary Research Lab.