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Conference Proceedings of ICDLAIR2019

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Conference Proceedings of ICDLAIR2019/ edited by Meenakshi Tripathi, Sushant Upadhyaya.
其他作者:	Upadhyaya, Sushant.
面頁冊數:	XII, 366 p. 184 illus., 142 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-3-030-67187-7
ISBN:	9783030671877

Conference Proceedings of ICDLAIR2019
Conference Proceedings of ICDLAIR2019[electronic resource] /edited by Meenakshi Tripathi, Sushant Upadhyaya. - 1st ed. 2021. - XII, 366 p. 184 illus., 142 illus. in color.online resource. - Lecture Notes in Networks and Systems,1752367-3389 ;. - Lecture Notes in Networks and Systems,1.

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, collective and 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.

ISBN: 9783030671877

Standard No.: 10.1007/978-3-030-67187-7doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

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