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Deep Learning Techniques And Optimization Strategies In Big Data Analytics - Research Book

Deep Learning Techniques And Optimization Strategies In Big Data Analytics - Research Book

Hot Research Book in Deep Learning Techniques And Optimization Strategies In Big Data Analytics

Author(s) Name:  J. Joshua Thomas , Pinar Karagoz ,B. Bazeer Ahamed,Pandian Vasant

About the Book:

   Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and theres a need for research on the various applications and techniques of deep learning in the field of computing.
   Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems.
   While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Table of Contents

  • Arrhythmia Detection Based on Hybrid Features of T-Wave in Electrocardiogram
  • A Review on Deep Learning Applications
  • A Survey of Nature-Inspired Algorithms With Application to Well Placement Optimization
  • Artificial Intelligence Approach for Predicting TOC From Well Logs in Shale Reservoirs: A Review
  • Bidirectional GRU-Based Attention Model for Kid-Specific URL Classification
  • Classification of Fundus Images Using Neural Network Approach
  • Convolutional Graph Neural Networks: A Review and Applications of Graph Autoencoder in Chemoinformatics
  • Deep Learning: A Recent Computing Platform for Multimedia Information Retrieval
  • Deep Learning Techniques and Optimization Strategies in Big Data Analytics: Automated Transfer Learning of Convolutional Neural Networks Using Enas Algorithm
  • Dimensionality Reduction With Multi-Fold Deep Denoising Autoencoder
  • Heuristic Optimization Algorithms for Power System Scheduling Applications: Multi-Objective Generation Scheduling With PSO
  • Protein Secondary Structure Prediction Approaches: A Review With Focus on Deep Learning Methods
  • ISBN:   9781799811923

    Publisher:   IGI Global Publisher

    Year of Publication:  2019

    Book Link:  Home Page Url