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Machine intelligence and smart systemsproceedings of MISS 2021 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine intelligence and smart systemsedited by Shikha Agrawal ... [et al.].
其他題名:	proceedings of MISS 2021 /
其他題名:	MISS 2021
其他作者:	Agrawal, Shikha.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	xiii, 562 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence
電子資源:	https://doi.org/10.1007/978-981-16-9650-3
ISBN:	9789811696503$q(electronic bk.)

Machine intelligence and smart systemsproceedings of MISS 2021 /
Machine intelligence and smart systemsproceedings of MISS 2021 /[electronic resource] :MISS 2021edited by Shikha Agrawal ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xiii, 562 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

Artificial Intelligence Aided Neurodevelopmental Disorders Diagnosis: Techniques Revisited -- Deep Learning Implementation for Dark Matter Particle Detection -- Augmentation of Handwritten Devanagari Character Dataset Using DCGAN -- Deep Reinforcement Learning for Optimal Traffic Control -- Ensemble Semi-Supervised Machine Learning Algorithm for Classifying Complaint Tweets -- Underwater Image Enhancement Using Fusion Stretch Method -- A Novel Approach for Semantic Microservices Description and Discovery towards Smarter Applications.

This book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24-25, 2021, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation. Scientists, engineers, academicians, technology developers, researchers, students and government officials will find this book useful in handling their complicated real-world issues by using machine intelligence methodologies.

ISBN: 9789811696503$q(electronic bk.)

Standard No.: 10.1007/978-981-16-9650-3doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334 / .I57 2021

Dewey Class. No.: 006.3

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