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Robot Intelligence Technology and Applications 8
Details
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.
Presents recent research on Robot Intelligence Technology and Applications Provides results from the 11th Int. Conference on Robot Intelligence Technology and Applications Written by experts in the field of Robot Intelligence
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031706868
- Lesemotiv Verstehen
- Genre Electrical Engineering
- Editor Anwar P. P. Abdul Majeed, Eng Hwa Yap, Pengcheng Liu, Xiaowei Huang, Anh Nguyen, Wei Chen, Ue-Hwan Kim
- Sprache Englisch
- Anzahl Seiten 236
- Herausgeber Springer
- Größe H235mm x B155mm x T13mm
- Jahr 2024
- EAN 9783031706868
- Format Kartonierter Einband
- ISBN 3031706862
- Veröffentlichung 29.11.2024
- Titel Robot Intelligence Technology and Applications 8
- Untertitel Results from the 11th International Conference on Robot Intelligence Technology and Applications, Volume 2
- Gewicht 365g