Second EAI International Conference, IoECon 2023, Guimarães, Portugal, September 28-29, 2023, Proceedings Pereira, Teresa. editor. edt http://id.loc.gov/vocabulary/relators/edt Impagliazzo, John. editor. edt http://id.loc.gov/vocabulary/relators/edt Santos, Henrique. editor. edt http://id.loc.gov/vocabulary/relators/edt Chen, Juan. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access X, 145 p. 26 illus., 18 illus. in color. online resource. This book constitutes the refereed post-conference proceedings of the Second International Conference on Internet of Everything, IoECon 2023, which took place in Guimarães, Portugal, in September 2023. IoECon 2023 presents IoT paradigms to their whole dimension, intelligently connecting devices, people, processes, data, and things. IoE is multi-disciplinary and offers an opportunity to explore the co-relations between different areas, techniques, and theories about a new cyber world. The 11 revised full papers were carefully reviewed and selected from 38 submissions. The papers focus on a complete ecosystem that digitally interconnects everything, including people-to-people, people to-machines, and machines-to-machines. Machine-to-Machine (M2M) -- Using the Internet of Everything for High-Performance Computing -- Using the Internet of Everything for Data Centers -- Jamming LoRa and Evaluation of Ease of Implementation -- People-to-Machine or Machine-to-People (P2M) or (M2P) -- What is a Good API? A Survey on the Use and Design of Application Programming Interfaces -- Machine learning for insurance fraud detection -- A simple distributed approach for running Machine Learning based simulations in Intrusion Detection Systems -- Exploring Risk Analysis methods in IoE projects: a Smart Campus use case -- Privacy concerns in Smart Indoor Environments in the Internet of Everything Era: A smart university campus case -- People-to-People (P2P) -- Curricular Excursions on the Internet of Everything -- Planning of Urban Freight Delivery During Peak and Off-peak Traffic Periods -- Workshop: Towards Open Data Practices at the International Conference on the Internet of Everything. edited by Teresa Pereira, John Impagliazzo, Henrique Santos, Juan Chen. Application software Social sciences Data processing Artificial intelligence Computers and civilization Computer and Information Systems Applications Computer Application in Social and Behavioral Sciences Artificial Intelligence Computers and Society QA76.76.A65 9783031515729 https://doi.org/10.1007/978-3-031-51572-9 https://doi.org/10.1007/978-3-031-51572-9 240131 20251030111408.0 978-3-031-51572-9