
Distributed Computing and Artificial Intelligence, Special Sessions II, 22nd International Conference
Description
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This book serves as a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing. This book brings together experience, current work, and promising future trends related to distributed computing, artificial intelligence, and their applications to provide efficient solutions to real-world problems. Given the conference's success, this book features fifteen special sessions covering a wide range of topics related to AI and other areas of interest. The accepted papers from these sessions are presented in two volumes, showcasing the diverse and innovative research being conducted in these domains. This is the second volume, which includes the sessions: Special Session on Artificial Intelligence trends in Health & Care (AItHeC), Special Session on audio and video analysis and pattern recognition (AVARP) organized by the IA4birds project, Special Session on Crypto-Asset Exchange Platforms: Technical and Legal Aspects (CSDT), Special Session on Emerging Technologies For Cybersecurity Resilience: Blockchain, Threat Detection, And Compliance (ETCR), Special Session on Intelligent Search and Discovery in the Future Internet (ISDFI), Special Session on Quantum computing applied to industry and cybersecurity (QUINCY), Special Session on Novel Technologies for Smart Industry and Mobility (SmartMob) and Special Session on dAIEDGE: Trustworthy, Regulated, and Efficient AI on the Edge (TRUST-E) and Session for Doctoral Consortiums. The DCAI'25 technical program has selected 82 papers in special sessions and, as in previous books, there are special issues in ranked journals. This symposium is organized by the SMAC Team of the CRIStAL Lab of the University of Lille. We would like to thank all the contributing authors and the members of the Program Committee for their hard and highly valuable work.
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Content
Contesting the Algorithm: Ethical Imperatives and Accountability in AI-Driven Radiology.- Optimizing AI Models for Fall Detection on Resource-Constrained Embedded Systems.- Wearable Photoplethysmography Sensors for Postural Change Detection: A Comprehensive Review.- Full-Stack Platform for the Integration of Bird Data and Wind Resource Management.- On-Edge Artificial Intelligence Architecture for Real-Time Bird Identification for Ecosystem Protection.- Microphone optimization and development for AI-based detection of flying wildlife.- Secure Generative Adversarial Networks.- Edge Computing and Federated Learning as Enabling Technologies for Industry 5.0: A Literature Review with an Industrial Focus.- Building citizen trust through explainable AI and DLT in public sector decisions.
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