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Intelligence enabled research = DoSI...

Doctoral Symposium on Intelligence Enabled Research (2019 :)

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Intelligence enabled research = DoSIER 2019 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligence enabled research/ edited by Siddhartha Bhattacharyya, Sushmita Mitra, Paramartha Dutta.
Reminder of title:	DoSIER 2019 /
remainder title:	DoSIER 2019
other author:	Bhattacharyya, Siddhartha.
corporate name:	Doctoral Symposium on Intelligence Enabled Research
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xviii, 131 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Vehicle Pollution Detection from Images using Deep Learning -- Chapter 2. Single-Image De-raining using GAN for Accurate Video Surveillance -- Chapter 3. Towards a Framework for Performance Testing of Metaheuristics -- Chapter 4. Automatic Clustering of Hyperspectral Images using Qutrit Based Particle Swarm Optimization -- Chapter 5. Multi-Class Image Segmentation using Theory of Weak String Energy and Fuzzy Set -- Chapter 6. Stabilization of Non Linear Optimum Control using ASRE Method -- Chapter 7. Patient-Specific Seizure Prediction using the Convolutional Neural Networks -- Chapter 8. A Deep Learning Approach for the Classification of Rice Leaf Diseases -- Chapter 9. Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study -- Chapter 10. Implications of Nonlinear Control over Traditional Control for Alleviating Power System Stability Problem -- Chapter 11. Towards Sustainable Indian Smart Cities: An AHP study -- Chapter 12. Temporal Sentiment Analysis of the Data from Social Media to Early Detect Cyberbullicide Ideation of a Vicitm by using Graph based Approach and Datamining Tools -- Chapter 13. Intelligent Color Image Watermarking using Phase Congruency -- Chapter 14. Local Shearlet Energy Gammodian Pattern (LSEGP): A scale space binary shape descriptor for texture classification.
Contained By:	Springer eBooks
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-15-2021-1
ISBN:	9789811520211

Intelligence enabled research = DoSIER 2019 /
Intelligence enabled researchDoSIER 2019 /[electronic resource] :DoSIER 2019edited by Siddhartha Bhattacharyya, Sushmita Mitra, Paramartha Dutta. - Singapore :Springer Singapore :2020. - xviii, 131 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.11092194-5357 ;. - Advances in intelligent systems and computing ;v.1109..

Chapter 1. Vehicle Pollution Detection from Images using Deep Learning -- Chapter 2. Single-Image De-raining using GAN for Accurate Video Surveillance -- Chapter 3. Towards a Framework for Performance Testing of Metaheuristics -- Chapter 4. Automatic Clustering of Hyperspectral Images using Qutrit Based Particle Swarm Optimization -- Chapter 5. Multi-Class Image Segmentation using Theory of Weak String Energy and Fuzzy Set -- Chapter 6. Stabilization of Non Linear Optimum Control using ASRE Method -- Chapter 7. Patient-Specific Seizure Prediction using the Convolutional Neural Networks -- Chapter 8. A Deep Learning Approach for the Classification of Rice Leaf Diseases -- Chapter 9. Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study -- Chapter 10. Implications of Nonlinear Control over Traditional Control for Alleviating Power System Stability Problem -- Chapter 11. Towards Sustainable Indian Smart Cities: An AHP study -- Chapter 12. Temporal Sentiment Analysis of the Data from Social Media to Early Detect Cyberbullicide Ideation of a Vicitm by using Graph based Approach and Datamining Tools -- Chapter 13. Intelligent Color Image Watermarking using Phase Congruency -- Chapter 14. Local Shearlet Energy Gammodian Pattern (LSEGP): A scale space binary shape descriptor for texture classification.

This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India) The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike, and will inspire future studies.

ISBN: 9789811520211

Standard No.: 10.1007/978-981-15-2021-1doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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505 0 $a Chapter 1. Vehicle Pollution Detection from Images using Deep Learning -- Chapter 2. Single-Image De-raining using GAN for Accurate Video Surveillance -- Chapter 3. Towards a Framework for Performance Testing of Metaheuristics -- Chapter 4. Automatic Clustering of Hyperspectral Images using Qutrit Based Particle Swarm Optimization -- Chapter 5. Multi-Class Image Segmentation using Theory of Weak String Energy and Fuzzy Set -- Chapter 6. Stabilization of Non Linear Optimum Control using ASRE Method -- Chapter 7. Patient-Specific Seizure Prediction using the Convolutional Neural Networks -- Chapter 8. A Deep Learning Approach for the Classification of Rice Leaf Diseases -- Chapter 9. Identification of Seven Low-Resource North-Eastern Languages: An Experimental Study -- Chapter 10. Implications of Nonlinear Control over Traditional Control for Alleviating Power System Stability Problem -- Chapter 11. Towards Sustainable Indian Smart Cities: An AHP study -- Chapter 12. Temporal Sentiment Analysis of the Data from Social Media to Early Detect Cyberbullicide Ideation of a Vicitm by using Graph based Approach and Datamining Tools -- Chapter 13. Intelligent Color Image Watermarking using Phase Congruency -- Chapter 14. Local Shearlet Energy Gammodian Pattern (LSEGP): A scale space binary shape descriptor for texture classification.
520 $a This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India) The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike, and will inspire future studies.
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