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Advances in Computational Intelligence Techniques / edited by Shruti Jain, Meenakshi Sood, Sudip Paul.

Contributor(s): Jain, Shruti., editor. | Sood, Meenakshi, editor. | Paul, Sudip, editor. | SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (Algorithms for Intelligent Systems, 2524-7565); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2020Edition: First edition 2020.Description: 1 recurso en línea (XIV, 266 páginas) : 158 ilustraciones, 125 ilustraciones a color.ISBN: 9789811526206.Subject: Inteligencia artificialOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q342 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook.23042021
Total holds: 0

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.

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