Machine Intelligence and Smart Systems : Proceedings of MISS 2020

Machine Intelligence and Smart Systems : Proceedings of MISS 2020 edited by Shikha Agrawal, Kamlesh Kumar Gupta, Jonathan H. Chan, Jitendra Agrawal, Manish Gupta. - First edition 2021 - 1 recurso en línea (XVI, 701 páginas) 480 ilustraciones, 297 ilustraciones a color - Algorithms for Intelligent Systems 2524-7573 Intelligent Technologies and Robotics (SpringerNature-42732) Intelligent Technologies and Robotics (R0) (SpringerNature-43728) .

Synesthetic Learning Pedagogy (SLP): An Exploratory Investigation -- MSB/LSB Prediction Based Reversible Data Hiding In Encrypted Images: A Survey -- A Review of Image Enhancement Techniques in Medical Imaging -- Smartphone User Identification and Authentication based on Raw Accelerometer Walking Activity Data Using Convolutional Neural Networks -- Elastic Optical Network: A Promising Solution For Future Communication Networks Considering Differentiated CoS -- Smart Home Energy Prediction With GTU Recurrent Neural Network Model.

This book is a collection of peer-reviewed best selected research papers presented at the First International Conference on Machine Intelligence and Smart Systems 2020 (MISS 2020), organized during September 24-25, 2020, 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.

9789813348936

10.1007/978-981-33-4893-6 doi


Inteligencia artificial

Q334 / 2021 EB