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Advances in Computational Intelligen...
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Sood, Meenakshi.
Advances in Computational Intelligence Techniques
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Advances in Computational Intelligence Techniques/ edited by Shruti Jain, Meenakshi Sood, Sudip Paul.
other author:
Jain, Shruti.
Description:
XIV, 266 p. 158 illus., 125 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-981-15-2620-6
ISBN:
9789811526206
Advances in Computational Intelligence Techniques
Advances in Computational Intelligence Techniques
[electronic resource] /edited by Shruti Jain, Meenakshi Sood, Sudip Paul. - 1st ed. 2020. - XIV, 266 p. 158 illus., 125 illus. in color.online resource. - Algorithms for Intelligent Systems,2524-7565. - Algorithms for Intelligent Systems,.
Accent Classification of the Three Major Nigerian Indigenous Languages Using 1D CNN LSTM Network Model -- Automatic Glaucoma Diagnosis in Digital Fundus images using Deep CNNs -- Deep Learning based Diabetic Retinopathy Prediction of Colored Fundus Images with Parameter Tuning -- Fractal Analysis of Heart Dynamics during Attention Task -- Assessment of Health Care Techniques in IoT -- English Numerals Recognition System using Novel Curve Coding -- Clustering and Employability Profiling of Engineering Students -- Universal Approach for Detection of Spot Diseases in Plants -- Stereo Camera and LIDAR Sensor Fusion based Collision Warning System for Autonomous Vehicles.
This book highlights recent advances in computational intelligence for signal processing, computing, imaging, artificial intelligence, and their applications. It offers support for researchers involved in designing decision support systems to promote the societal acceptance of ambient intelligence, and presents the latest research on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field. As such, it offers a valuable resource for researchers, developers and educators whose work involves recent advances and emerging technologies in computational intelligence.
ISBN: 9789811526206
Standard No.: 10.1007/978-981-15-2620-6doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Advances in Computational Intelligence Techniques
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Accent Classification of the Three Major Nigerian Indigenous Languages Using 1D CNN LSTM Network Model -- Automatic Glaucoma Diagnosis in Digital Fundus images using Deep CNNs -- Deep Learning based Diabetic Retinopathy Prediction of Colored Fundus Images with Parameter Tuning -- Fractal Analysis of Heart Dynamics during Attention Task -- Assessment of Health Care Techniques in IoT -- English Numerals Recognition System using Novel Curve Coding -- Clustering and Employability Profiling of Engineering Students -- Universal Approach for Detection of Spot Diseases in Plants -- Stereo Camera and LIDAR Sensor Fusion based Collision Warning System for Autonomous Vehicles.
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This book highlights recent advances in computational intelligence for signal processing, computing, imaging, artificial intelligence, and their applications. It offers support for researchers involved in designing decision support systems to promote the societal acceptance of ambient intelligence, and presents the latest research on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field. As such, it offers a valuable resource for researchers, developers and educators whose work involves recent advances and emerging technologies in computational intelligence.
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