The ASSET 2023 Proceedings Ekpo, Sunday Cookey. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access L, 291 p. 156 illus., 132 illus. in color. online resource. This proceedings presents papers from the Second International Adaptive and Sustainable Science, Engineering and Technology Conference (ASSET 2023), which took place simultaneously in Manchester, UK and Ikot Akpaden, Nigeria on 18-20, July 2023. The ASSET conference serves as an interactive forum for the advancement of the practice of adaptive and sustainable systems across the multiple disciplines and specialty areas involved with the science, engineering, and technology of integrated entities, complex systems, and networks. The conference provides an avenue for practitioners, researchers, managers, developers, analysts, educators, and users to exchange innovative ideas, concepts, applications, and lessons learned in addressing domain-specific problems, applications-oriented topics, methodologies, standards and multidisciplinary research opportunities and findings relating to ASSET systems. Introduction -- RF/Microwave/ Millimetre wave Communications Devices and Systems -- Satellite Systems, Applications, Missions and Operations -- Antennas and Propagation Engineering -- Wireless Sensors and Mobile Communications Networks -- Applied Computational Electromagnetic -- Adaptive Systems Development and Operation -- Real-time System of Systems Data Analytics -- Complex Infrastructure Systems Management -- Systems Design, Modelling and Engineering -- Smart Advanced Industrial Manufacturing Systems -- Smart IoT Sensors Design, Integration and Applications -- Cyber Security and Information Encryption -- Robotics and Human-Machine Systems -- AI/Machine Learning Algorithms and Applications -- Renewable Energy Harvesting Techniques -- Energy Grid Management and Sustainability -- On-demand Renewable Energy Networks -- Conclusion. edited by Sunday Cookey Ekpo. Telecommunication Sustainability Computational intelligence Artificial intelligence Communications Engineering, Networks Sustainability Computational Intelligence Artificial Intelligence TK5101-5105.9 9783031539350 https://doi.org/10.1007/978-3-031-53935-0 https://doi.org/10.1007/978-3-031-53935-0 240424 20251030112008.0 978-3-031-53935-0