Deep Learning and Parallel Computing Environment for Bioengineering Systems /
Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuse...
| Main Authors: | , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
St. Louis, Missouri : Academic Press,
2019
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/book/9780128167182 |
| _version_ | 1796765046238347264 |
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| author | Sangaiah, Arun Kumar 649738 ScienceDirect (Online service) 7722 |
| author_facet | Sangaiah, Arun Kumar 649738 ScienceDirect (Online service) 7722 |
| author_sort | Sangaiah, Arun Kumar 649738 |
| collection | OCEAN |
| description | Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas. |
| first_indexed | 2024-03-05T17:18:38Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:605915 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:18:38Z |
| publishDate | 2019 |
| publisher | St. Louis, Missouri : Academic Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6059152023-11-11T13:12:02ZDeep Learning and Parallel Computing Environment for Bioengineering Systems / Sangaiah, Arun Kumar 649738 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 St. Louis, Missouri : Academic Press,©20192019engDeep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas.Chapter 1. Parallel Computing, Graphics Processing Unit (GPU) and New Hardware for Deep Learning in Computational Intelligence Research -- Chapter 2. Big Data Analytics and Deep Learning in Bioinformatics With Hadoop -- Chapter 3. Image Fusion Through Deep Convolutional Neural Network -- Chapter 4. Medical Imaging With Intelligent Systems: A Review -- Chapter 5. Medical Image Analysis With Deep Neural Networks -- Chapter 6. Deep Convolutional Neural Network for Image Classification on CUDA Platform -- Chapter 7. Efficient Deep Learning Approaches for Health Informatics -- Chapter 8. Deep Learning and Semi-Supervised and Transfer Learning Algorithms for Medical Imaging -- Chapter 9. Survey on Evaluating the Performance of Machine Learning Algorithms: Past Contributions and Future Roadmap -- Chapter 10. Miracle of Deep Learning Using IoT -- Chapter 11. Challenges in Storing and Processing Big Data Using Hadoop and Spark -- Chapter 12. An Efficient Biography-Based Optimization Algorithm to Solve the Location Routing Problem With Intermediate Depots for Multiple Perishable Products -- Chapter 13. Evolutionary Mapping Techniques for Systolic Computing System -- Chapter 14. Varied Expression Analysis of Children With ASD Using Multimodal Deep Learning Technique -- Chapter 15. Parallel Machine Learning and Deep Learning Approaches for Bioinformatics -- Index.Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas.Bioengineeringhttps://www.sciencedirect.com/science/book/9780128167182URN:ISBN:9780128167182Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Bioengineering Sangaiah, Arun Kumar 649738 ScienceDirect (Online service) 7722 Deep Learning and Parallel Computing Environment for Bioengineering Systems / |
| title | Deep Learning and Parallel Computing Environment for Bioengineering Systems / |
| title_full | Deep Learning and Parallel Computing Environment for Bioengineering Systems / |
| title_fullStr | Deep Learning and Parallel Computing Environment for Bioengineering Systems / |
| title_full_unstemmed | Deep Learning and Parallel Computing Environment for Bioengineering Systems / |
| title_short | Deep Learning and Parallel Computing Environment for Bioengineering Systems / |
| title_sort | deep learning and parallel computing environment for bioengineering systems |
| topic | Bioengineering |
| url | https://www.sciencedirect.com/science/book/9780128167182 |
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