Machine Intelligence and Smart Systems Proceedings of MISS 2020 /

Detalhes bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros Autores: Agrawal, Shikha (Editor), Kumar Gupta, Kamlesh (Editor), H. Chan, Jonathan (Editor), Agrawal, Jitendra (Editor), Gupta, Manish (Editor)
Resumo:XVI, 701 p. 480 illus., 297 illus. in color.
text
Idioma:inglês
Publicado em: Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
Edição:1st ed. 2021.
coleção:Algorithms for Intelligent Systems,
Assuntos:
Acesso em linha:https://doi.org/10.1007/978-981-33-4893-6
Formato: Recurso Eletrônico Livro

MARC

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505 0 |a 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. 
520 |a 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. 
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