Description

Book Synopsis
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.

Table of 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.

Proceedings of Academia-Industry Consortium for Data Science: AICDS 2020

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    A Paperback by Gaurav Gupta, Lipo Wang, Anupam Yadav

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      View other formats and editions of Proceedings of Academia-Industry Consortium for Data Science: AICDS 2020 by Gaurav Gupta

      Publisher: Springer Verlag, Singapore
      Publication Date: 02/02/2022
      ISBN13: 9789811668869, 978-9811668869
      ISBN10:

      Description

      Book Synopsis
      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.

      Table of 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.

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