Editors:
- Presents new technologies and applications in DL, artificial intelligence, and robotics
- Includes the results from the International Conference on Deep Learning, Artificial Intelligence and Robotics held in Jaipur, India, on December 07–08, 2019
- Written by experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 175)
Conference series link(s): ICDLAIR: International Conference on Deep Learning, Artificial Intelligence and Robotics
Conference proceedings info: ICDLAIR 2019.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (36 papers)
-
Front Matter
About this book
This proceedings book includes the results from the International Conference on Deep Learning, Artificial Intelligence and Robotics, held in Malaviya National Institute of Technology, Jawahar Lal Nehru Marg, Malaviya Nagar, Jaipur, Rajasthan, 302017.
The scope of this conference includes all subareas of AI, with broad coverage of traditional topics like robotics, statistical learning and deep learning techniques. However, the organizing committee expressly encouraged work on the applications of DL and AI in the important fields of computer/electronics/electrical/mechanical/chemical/textile engineering, health care and agriculture, business and social media and other relevant domains. The conference welcomed papers on the following (but not limited to) research topics:
· Deep Learning: Applications of deep learning in various engineering streams, neural information processing systems, training schemes, GPU computation and paradigms, human–computer interaction, genetic algorithm, reinforcement learning, natural language processing, social computing, user customization, embedded computation, automotive design and bioinformatics
· Artificial Intelligence: Automatic control, natural language processing, data mining and machine learning tools, fuzzy logic, heuristic optimization techniques (membrane-based separation, wastewater treatment, process control, etc.) and soft computing
· Robotics: Automation and advanced control-based applications in engineering, neural networks on low powered devices, human–robot interaction and communication, cognitive, developmental and evolutionary robotics, fault diagnosis, virtual reality, space and underwater robotics, simulation and modelling, bio-inspired robotics, cable robots, cognitive robotics, collaborative robotics, collectiveand social robots and humanoid robots
It was a collaborative platform for academic experts, researchers and corporate professionals for interacting their research in various domain of engineering like robotics, data acquisition, human–computer interaction, genetic algorithm, sentiment analysis as well as usage of AI and advanced computation in various industrial challenges based applications such as user customization, augmented reality, voice assistants, reactor design, product formulation/synthesis, embedded system design, membrane-based separation for protecting environment along with wastewater treatment, rheological properties estimation for Newtonian and non-Newtonian fluids used in micro-processing industries and fault detection.Editors and Affiliations
-
Malaviya National Institute of Technology (MNIT), Jaipur, India
Meenakshi Tripathi, Sushant Upadhyaya
Bibliographic Information
Book Title: Conference Proceedings of ICDLAIR2019
Editors: Meenakshi Tripathi, Sushant Upadhyaya
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-67187-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-67186-0Published: 09 February 2021
eBook ISBN: 978-3-030-67187-7Published: 08 February 2021
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XII, 366
Number of Illustrations: 42 b/w illustrations, 142 illustrations in colour
Topics: Artificial Intelligence, Machine Learning, Robotics