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Proceedings of Academia-Industry Consortium for Data Science : AICDS 2020 / edited by Gaurav Gupta, Lipo Wang, Anupam Yadav, Puneet Rana, Zhenyu Wang

Contributor(s): Gupta, Gaurav, editor literario | Wang, Lipo, editor literario | Yadav, Anupam, editor literario | Rana, Puneet, editor literario | Wang, Zhenyu, editor literario
Material type: materialTypeLabelE-bookSeries: (Advances in Intelligent Systems and Computing, 2194-5365; 1411).Publisher: Singapore : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XII, 418 páginas) : 176 ilustraciones, 122 ilustraciones a color.ISBN: 9789811668876.Subject: Redes neuronales artificiales -- Congresos y asambleas | Autómatas celulares -- Congresos y asambleas | Sistemas de imágenes en medicina -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Neural Artistic Style Transfer using Deep Neural Networks -- Choice Based One-Time Pad Approach Using Hybrid Cellular Automata -- Novel Imaging Approach for Mental Stress Detection using EEG Signals -- Classification of Fundus Images for Diabetic Retinopathy using Machine Learning: A Brief Review -- Wearable Sensor and Machine Learning Model based Fall Detection System for Safety of Elders and Movement Disorders.
Summary: This book gathers high-quality papers presented at Academia-Industry Consortium for Data Science (AICDS 2020), held in Wenzhou, China during 19 - 20 December 2020. The book presents views of academicians and also how companies are approaching these challenges organizationally. The topics covered in the book are data science and analytics, natural language processing, predictive analytics, artificial intelligence, machine learning, deep learning, big data computing, cognitive computing, data visualization, image processing, and optimization techniques.
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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 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.18032074
Total holds: 0

Neural Artistic Style Transfer using Deep Neural Networks -- Choice Based One-Time Pad Approach Using Hybrid Cellular Automata -- Novel Imaging Approach for Mental Stress Detection using EEG Signals -- Classification of Fundus Images for Diabetic Retinopathy using Machine Learning: A Brief Review -- Wearable Sensor and Machine Learning Model based Fall Detection System for Safety of Elders and Movement Disorders.

This book gathers high-quality papers presented at Academia-Industry Consortium for Data Science (AICDS 2020), held in Wenzhou, China during 19 - 20 December 2020. The book presents views of academicians and also how companies are approaching these challenges organizationally. The topics covered in the book are data science and analytics, natural language processing, predictive analytics, artificial intelligence, machine learning, deep learning, big data computing, cognitive computing, data visualization, image processing, and optimization techniques.

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