Intelligent systems : proceedings of SCIS 2021 / Amit Sheth, Amit Sinhal, Abhinav Shrivastava, Amit Kumar Pandey, editors.
2021
Q334
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Details
Title
Intelligent systems : proceedings of SCIS 2021 / Amit Sheth, Amit Sinhal, Abhinav Shrivastava, Amit Kumar Pandey, editors.
Meeting Name
International Conference on Sustainable Computing and Intelligent Systems (2nd : 2021 : Jaipur, India)
ISBN
9789811622489 (electronic bk.)
9811622485 (electronic bk.)
9811622477
9789811622472
9811622485 (electronic bk.)
9811622477
9789811622472
Publication Details
Singapore : Springer, 2021.
Language
English
Description
1 online resource (483 pages)
Item Number
10.1007/978-981-16-2248-9 doi
Call Number
Q334
Dewey Decimal Classification
006.3
Summary
This book contains the latest computational intelligence methodologies and applications. This book is a collection of selected papers presented at International Conference on Sustainable Computing and Intelligent Systems (SCIS 2021), held in Jaipur, India, during February 5-6, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.
Note
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 6, 2021).
Series
Algorithms for intelligent systems.
Available in Other Form
Intelligent Systems.
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Online Access
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Table of Contents
Ontological Simulation of Quality Test Concepts in Seafood Domain
Moroccan Stock Market Prediction Using LSTM Model on A Daily Data
A Fog-Cloud Computing assisted Lung-Cancer Diagnosis System using Deep Learning
Performance Analysis of Power System Stability of Four Machine System by Using MBPSS and Static Compensator
Performance Analysis of Sigmoid and Relu Activation Functions in Deep Neural Network
CNC_Vision: Integrated Tool for Automated Creation of 2D Profiles for CNC Machine.
Moroccan Stock Market Prediction Using LSTM Model on A Daily Data
A Fog-Cloud Computing assisted Lung-Cancer Diagnosis System using Deep Learning
Performance Analysis of Power System Stability of Four Machine System by Using MBPSS and Static Compensator
Performance Analysis of Sigmoid and Relu Activation Functions in Deep Neural Network
CNC_Vision: Integrated Tool for Automated Creation of 2D Profiles for CNC Machine.