Details
| Title | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series. — Deep learning techniques and optimization strategies in big data analytics |
|---|---|
| Other creators | Thomas J. Joshua, |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Big data. ; Quantitative research. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1121445824 |
| Record create date | 6/18/2019 |
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| Group | Anonymous |
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| Network | Internet |
"This book examines the application of artificial intelligence in machine learning, data mining in unstructured data sets or databases, web mining, and information retrieval"--.
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| ILC SPbPU Local Network | All |
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- Cover
- Title Page
- Copyright Page
- Book Series
- Editorial Advisory Board
- Table of Contents
- Detailed Table of Contents
- Foreword
- Preface
- 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
- Index
