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DEEP LEARNING IN VIDEO AND IMAGE PROCESSING:CHALLENGES, SOLUTIONS, AND FUTURE…
The Reprint titled “Deep Learning in Video and Image Processing Challenges Solutions and Future Directions” presents a comprehensive collection of high-quality research addressing the growing demand for intelligent visual systems operating in real time. This Reprint focuses on the practical deployment of deep learning and machine learning techniques for video and image processing on edge de…
- Edisi
- -
- ISBN/ISSN
- 9783725870356
- Deskripsi Fisik
- x, 278 p.
- Judul Seri
- -
- No. Panggil
- 006.37 ELH d
DEEP NEURAL NETWORKS AND DATA FOR AUTOMATED DRIVING : ROBUSTNESS, UNCERTAINTY…
This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence. Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustne…
- Edisi
- 1
- ISBN/ISSN
- 978-3-031-01233-4
- Deskripsi Fisik
- XVIII, 427 ; 103 illustrations in colour
- Judul Seri
- -
- No. Panggil
- 629.2 TIM d
FOUNDATIONS OF ROBOTICS : A MULTIDISCIPLINARY APPROACH WITH PYTHON AND ROS
This open access book introduces key concepts in robotics in an easy to understand language using an engaging project-based approach. It covers contemporary topics in robotics, providing an accessible entry point to fundamentals in all the major domains. A section is dedicated to introducing programming concepts using Python, which has become a language of choice in robotics and AI. The book al…
- Edisi
- 1
- ISBN/ISSN
- 978-981-19-1983-1
- Deskripsi Fisik
- XXI, 543 ; 174 illustrations in colour
- Judul Seri
- -
- No. Panggil
- 629.892 DAM f
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