Data Science and Innovations for Intelligent Systems : Computational Excellence and Society 5.0 (Demystifying Technologies for Computational Excellence)

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Data Science and Innovations for Intelligent Systems : Computational Excellence and Society 5.0 (Demystifying Technologies for Computational Excellence)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 366 p.
  • 言語 ENG
  • 商品コード 9780367676285
  • DDC分類 005.7

Full Description

Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.

This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.

Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.

Contents

1. Quantum Computing: Computational Excellence for Society 5.0 2. Prediction Models for Accurate Data Analysis: Innovations in Data Science 3. Software Engineering Paradigm for Real-Time Accurate Decision Making for Code Smell Prioritization 4. Evaluating Machine Learning Capabilities for Predicting Joining Behavior of Freshmen Students Enrolled at Institutes of Higher Education: Case Study from a Novel Problem Domain 5. Image Processing for Knowledge Management and Effective Information Extraction for Improved Cervical Cancer Diagnosis 6. Recreating Efficient Framework for Resource Constrained Environment: HR Analytics and its Trends for Society 5.0 7. Integration of Internet of Things (IoT) in Health Care Industry: An Overview of Benefits, Challenges and Applications 8. Cloud, Edge and Fog Computing: Trends and Case Studies 9. A Paradigm Shift for Computational Excellence from Traditional Machine Learning to Modern Deep Learning-Based Image Steganalysis 10. Feature Engineering for Presentation Attack Detection in Face Recognition: A Paradigm Shift from Conventional to Contemporary Data-Driven Approaches 11. Reconfigurable Binary Neural Networks Hardware Accelerator for Accurate Data Analysis in Intelligent Systems 12. Recommender System: Techniques for Better Decision Making for Society 5.0 13. Implementation of Smart Irrigation System Using Intelligent Systems and Machine Learning Approaches 14. Light-Weight Cryptography using Trust Based System for Internet of Things (IoT) 15. Innovation in Healthcare for Improved Pneumonia Diagnosis with Gradient-Weighted Class Activation Map Visualization

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