Data Science: Theory, Algorithms, and Applications
- Length: 464 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2021-09-20
- ISBN-10: 9811616809
- ISBN-13: 9789811616808
- Sales Rank: #0 (See Top 100 Books)
This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
Cover Front Matter Part I. Theory and Concepts 1. Active Learning for Network Intrusion Detection 2. Educational Data Mining Using Base (Individual) and Ensemble Learning Approaches to Predict the Performance of Students 3. Patient’s Medical Data Security via Bi Chaos Bi Order Fourier Transform 4. Nepali Word-Sense Disambiguation Using Variants of Simplified Lesk Measure 5. Performance Analysis of Big.LITTLE System with Various Branch Prediction Schemes 6. Global Feature Representation Using Squeeze, Excite, and Aggregation Networks (SEANet) 7. Improved Single Image Super-resolution Based on Compact Dictionary Formation and Neighbor Embedding Reconstruction 8. An End-to-End Framework for Image Super Resolution and Denoising of SAR Images Part II. Models and Algorithms 9. Analysis and Deployment of an OCR—SSD Deep Learning Technique for Real-Time Active Car Tracking and Positioning on a Quadrotor 10. Palmprint Biometric Data Analysis for Gender Classification Using Binarized Statistical Image Feature Set 11. Recognition of Sudoku with Deep Belief Network and Solving with Serialisation of Parallel Rule-Based Methods and Ant Colony Optimisation 12. Novel DWT and PC-Based Profile Generation Method for Human Action Recognition 13. Ripeness Evaluation of Tobacco Leaves for Automatic Harvesting: An Approach Based on Combination of Filters and Color Models 14. Automatic Deep Learning Framework for Breast Cancer Detection and Classification from H&E Stained Breast Histopathology Images 15. An Analysis of Use of Image Processing and Neural Networks for Window Crossing in an Autonomous Drone 16. Analysis of Features in SAR Imagery Using GLCM Segmentation Algorithm Part III. Applications and Issues 17. Offline Signature Verification Using Galois Field-Based Texture Representation 18. Face Recognition Using 3D CNNs 19. Fog Computing-Based Seed Sowing Robots for Agriculture 20. An Automatic Tumor Identification Process to Classify MRI Brain Images 21. Lane Detection for Intelligent Vehicle System Using Image Processing Techniques 22. An Improved DCNN Based Facial Micro-expression Recognition System 23. Selective Deep Convolutional Framework for Vehicle Detection in Aerial Imagery 24. Exploring Source Separation as a Countermeasure for Voice Conversion Spoofing Attack 25. Statistical Prediction of Facial Emotions Using Mini Xception CNN and Time Series Analysis 26. Identification of Congestive Heart Failure Patients Through Natural Language Processing Back Matter
Donate to keep this site alive
1. Disable the AdBlock plugin. Otherwise, you may not get any links.
2. Solve the CAPTCHA.
3. Click download link.
4. Lead to download server to download.