Kabassi / Caro / Mylonas | Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023) | Buch | 978-3-031-44096-0 | sack.de

Buch, Englisch, 358 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 569 g

Reihe: Lecture Notes in Networks and Systems

Kabassi / Caro / Mylonas

Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023)

Volume 1
1. Auflage 2023
ISBN: 978-3-031-44096-0
Verlag: Springer Nature Switzerland

Volume 1

Buch, Englisch, 358 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 569 g

Reihe: Lecture Notes in Networks and Systems

ISBN: 978-3-031-44096-0
Verlag: Springer Nature Switzerland


This book summarizes the research findings presented at the 3rd International Conference on Novel & Intelligent Digital Systems (NiDS 2023). NiDS 2023 held in Athens, Greece, during September 28–29, 2023, under the auspices of the Institute of Intelligent Systems. The conference was implemented hybrid, allowing participants to attend it either online or onsite. NiDS 2023 places significant importance on the innovations within intelligent systems and the collaborative research that empowers and enriches artificial intelligence (AI) in software development. It encourages high-quality research, establishing a forum for investigating the obstacles and cutting-edge breakthroughs in AI. The conference is designed for experts, researchers, and scholars in artificial and computational intelligence, as well as computer science in general, offering them the opportunity to delve into relevant, interconnected, and mutually complementary fields. By facilitating the exchange of ideas, the conference strengthens and broadens the network of researchers, academics, and industry representatives.

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Weitere Infos & Material


National Unemployment Recovery Initiative NextGenerationEU: Social Impact of Lifelong Learning in Computer Aided Design.- Automated Coral Lifeform Classification using YOLOv5: A Deep Learning Approach.- Mapping hierarchies and dependencies from Robustness Diagram with Loop and Time Controls to Class Diagram.- A Deep learning model to recognise facial emotion expressions.- Readers’ satisfaction from online news websites.- Artificial Intelligence-Based Adaptive E-Learning Environments.- Identification of the problem of neural network stability in breast cancer classification by histological micrographs.- Ontological Model of Knowledge Representation for Assessing the City Visual Environment Quality.- Testing open multi-agent systems.- The Interaction of People with Disabilities with the Intelligent Packaging.- Computer-Aided Development of Adaptive Learning Games.











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