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Robot Intelligence Technology and Applications 8: Results from the 11th International Conference on Robot Intelligence Technology and Applications, Volume 2 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 226 pages, kõrgus x laius: 235x155 mm, 92 Illustrations, color; 17 Illustrations, black and white; IX, 226 p. 109 illus., 92 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1133
  • Ilmumisaeg: 29-Nov-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031706862
  • ISBN-13: 9783031706868
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Robot Intelligence Technology and Applications 8: Results from the 11th International Conference on Robot Intelligence Technology and Applications, Volume 2 2024 ed.Suurem pilt
  • Formaat: Paperback / softback, 226 pages, kõrgus x laius: 235x155 mm, 92 Illustrations, color; 17 Illustrations, black and white; IX, 226 p. 109 illus., 92 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1133
  • Ilmumisaeg: 29-Nov-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031706862
  • ISBN-13: 9783031706868
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031706868.html
Märksõnad:

This book dives into the vanguard of robotics and AI with this scholarly edition, a compilation of pioneering research from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 2. This book focuses on ‘Machine Learning and AI Applications’, which elucidates the transformative power of contemporary AI across a multitude of domains, from medical diagnostics to natural language comprehension. This book uncovers innovative models, avant-garde training techniques and sophisticated interpretability methods that underscore the versatility and robustness of AI. This book is an indispensable asset for researchers and practitioners navigating the digital frontier.

Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction.- A novel algorithm with an integrated model for the prediction of sudden trajectory behaviors.- Medical Waste Detection and Classification through Modern Methods and YOLO algorithms.- Failed Goal Aware Hindsight Experience Replay.- Enhancing Surgical Precision: Deep Learning-based Depth Estima-tion in Minimally Invasive Surgery with the MiDaS Model.