Deep Learning Techniques and Optimization Strategies in Big Data Analytics

pages 页数:380 pages
Publication date:30 Nov 2019
Publisher Finelybook 出版社:IGI Global
Language 语言:English
ISBN10:1799811921
ISBN13:9781799811923


Book Description
Deep Learning Techniques and Optimization Strategies in Big Data Analytics (Advances in Systems Analysis, Software Engineering, and High Performance Computing)
“This book examines the application of artificial intelligence in machine learning, data mining in unstructured data sets or databases, web mining, and information retrieval”
Acknowledgment
Chapter 1:Arrhythmia Detection Based on Hybrid Features of
T-Wave in Electrocardiogram
Chapter 2:A Review on Deep Learning Applications
Chapter 3:A Survey of Nature-Inspired Algorithms With Application
to Well Placement Optimization
Chapter 4:Artificial Intelligence Approach for Predicting TOC From
Well Logs in Shale Reservoirs
Chapter 5:Bidirectional GRU-Based Attention Model for
Kid-Specific URL Classification
Chapter 6:Classification of Fundus Images Using Neural Network
Approach
Chapter 7:Convolutional Graph Neural Networks
Chapter 8:Deep Learning
Chapter 9:Deep Learning Techniques and Optimization Strategies
in Big Data Analytics
Chapter 10:Dimensionality Reduction With Multi-Fold Deep
Denoising Autoencoder
Chapter 11:Fake News Detection Using Deep Learning
Chapter 12:Heuristic Optimization Algorithms for Power System
Scheduling Applications
Chapter 13:Multiobjective Optimization of a Biofuel Supply Chain
Using Random Matrix Generators
Chapter 14:Optimized Deep Learning System for Crop Health
Classification Strategically Using Spatial and Temporal Data
Chapter 15:Protein Secondary Structure Prediction Approaches
Chapter 16:Recent Trends in the Use of Graph Neural Network
Models for Natural Language Processing
Chapter 17:Review on Particle Swarm Optimization Approach for
Optimizing Wellbore Trajectory
Compilation of References
About the Contributors

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