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Advances in computational intelligence techniques /

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,...

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Bibliographic Details
Group Author: Jain, Shruti (Editor); Sood, Meenakshi (Editor); Paul, Sudip, 1984- (Editor)
Published: Springer,
Publisher Address: Singapore :
Publication Dates: [2020]
Literature type: Book
Language: English
Series: Algorithms for intelligent systems,
Subjects:
Computational intelligence.
Summary: 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.
Carrier Form: xiv, 266 pages : illustrations (some color), forms ; 24 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9789811526190 (hardback) :
9811526192 (hardback)
Index Number: Q342
CLC: TP18
Call Number: TP18/A244-11
Contents: 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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