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Book
Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2022, Volume 1
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ISBN: 9811941939 9811941920 Year: 2023 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

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Abstract

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.


Book
Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2022, Volume 2
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ISBN: 9811940525 9811940517 Year: 2023 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

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This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during 23–25 February 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.


Book
Emerging technologies in data mining and information security. : proceedings of IEMIS 2022
Author:
ISBN: 9811946760 9811946752 Year: 2022 Publisher: Singapore : Springer,

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Book
Human Emotion Recognition from Face Images
Authors: ---
ISBN: 9811538832 9811538824 Year: 2020 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition. The book explains how six basic human emotions can be recognized in various face images of the same person, as well as those available from benchmark face image databases like CK+, JAFFE, MMI, and MUG. The authors present the concept of signatures for different characteristics such as distance and shape texture, and describe the use of associated stability indices as features, supplementing the feature set with statistical parameters such as range, skewedness, kurtosis, and entropy. In addition, they demonstrate that experiments with such feature choices offer impressive results, and that performance can be further improved by combining the signatures rather than using them individually. There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and security in government, public and private agencies. This book offers a valuable resource for researchers working in these areas.


Digital
Human Emotion Recognition from Face Images
Authors: ---
ISBN: 9789811538834 Year: 2020 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition. The book explains how six basic human emotions can be recognized in various face images of the same person, as well as those available from benchmark face image databases like CK+, JAFFE, MMI, and MUG. The authors present the concept of signatures for different characteristics such as distance and shape texture, and describe the use of associated stability indices as features, supplementing the feature set with statistical parameters such as range, skewedness, kurtosis, and entropy. In addition, they demonstrate that experiments with such feature choices offer impressive results, and that performance can be further improved by combining the signatures rather than using them individually. There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and security in government, public and private agencies. This book offers a valuable resource for researchers working in these areas.


Book
Computational intelligence for human action recognition
Authors: ---
ISBN: 042906148X 0429589999 Year: 2021 Publisher: Boca Raton, Florida ; London ; New York : CRC Press,

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Book
Hybrid Soft Computing Approaches : Research and Applications
Authors: --- ---
ISBN: 8132225430 8132225449 Year: 2016 Publisher: New Delhi : Springer India : Imprint: Springer,

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The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives in particular. Typical examples include (a) Study of Economic Load Dispatch by Various Hybrid Optimization Techniques, (b) An Application of Color Magnetic Resonance Brain Image Segmentation by ParaOptiMUSIG activation Function, (c) Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis,  (d) A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms, and (e) Hybridization of 2D-3D Images for Human Face Recognition. The elaborate findings of the chapters enhance the exhibition of the hybrid soft computing paradigm in the field of intelligent computing.


Book
Computational Intelligence, Communications, and Business Analytics : First International Conference, CICBA 2017, Kolkata, India, March 24 – 25, 2017, Revised Selected Papers, Part I
Authors: --- ---
ISBN: 981106427X 9811064261 Year: 2017 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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The two volume set CCIS 775 and 776 constitutes the refereed proceedings of the First International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2017, held in Kolkata, India, in March 2017. The 90 revised full papers presented in the two volumes were carefully reviewed and selected from 276 submissions. The papers are organized in topical sections on data science and advanced data analytics; signal processing and communications; microelectronics, sensors, intelligent networks; computational forensics (privacy and security); computational intelligence in bio-computing; computational intelligence in mobile and quantum computing; intelligent data mining and data warehousing; computational intelligence.  .


Book
Computational Intelligence, Communications, and Business Analytics : First International Conference, CICBA 2017, Kolkata, India, March 24 – 25, 2017, Revised Selected Papers, Part II
Authors: --- ---
ISBN: 981106430X 9811064296 Year: 2017 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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Abstract

The two volume set CCIS 775 and 776 constitutes the refereed proceedings of the First International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2017, held in Kolkata, India, in March 2017. The 90 revised full papers presented in the two volumes were carefully reviewed and selected from 276 submissions. The papers are organized in topical sections on data science and advanced data analytics; signal processing and communications; microelectronics, sensors, intelligent networks; computational forensics (privacy and security); computational intelligence in bio-computing; computational intelligence in mobile and quantum computing; intelligent data mining and data warehousing; computational intelligence.  .

Keywords

Computer science. --- Computer security. --- Data structures (Computer science). --- Computers. --- Computer Science. --- Data Structures, Cryptology and Information Theory. --- Systems and Data Security. --- Information Systems and Communication Service. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Informatics --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Protection --- Security measures --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Data protection --- Security systems --- Hacking --- Science --- Data structures (Computer scienc. --- Information systems. --- Data Structures and Information Theory. --- Web usage mining --- Business --- Computational intelligence --- Communication systems --- Data processing --- Trade --- Economics --- Management --- Commerce --- Industrial management --- Analysis, Web usage --- Analytics, Web --- Mining, Web usage --- Web analytics --- Web usage analysis --- Data mining


Book
Ad Hoc Networks : A Statistical Perspective
Authors: --- ---
ISBN: 9811087709 9811087695 Year: 2018 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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This book identifies the time-dependent network parameters: neighbour count, link load, path length, cluster count and delay, and presents a first-of-its-kind discussion on temporal parameters in mobile ad hoc networks. Frequent topology changes and multiple link failures occur in mobile ad hoc network due to arbitrary and random movement of nodes. This dynamic environment challenges the delivery of data and makes it essential to find better models for network parameters that are shifting with time. The parameters identified are put into the framework of time series because of their temporal characteristic, and when they are modelled using time series framework they exhibit a sound fit with Autoregressive AR(p) models of order p. The order p is evaluated for each fitted model and found to lie between one and three. The book also analyses the dependence of end-to-end delay of ad hoc network on various external factors such as the number of nodes, routing protocol, mobility models and path length and develops two prediction models. The book will be useful for researchers and professionals alike.

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