Data Science and Innovations for Intelligent Systems : Computational Excellence and Society 5.0

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  • 電子書籍

Data Science and Innovations for Intelligent Systems : Computational Excellence and Society 5.0

  • 言語:ENG
  • ISBN:9780367676285
  • eISBN:9781000456165

ファイル: /

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.

Table of Contents

1. Quantum Computing: Computational Excellence for Society 5.0

Paul R. Griffin, Michael Boguslavsky, Junye Huang, Robert J. Kauffman, and Brian R. Tan

2. Prediction Models for Accurate Data Analysis: Innovations in Data Science

Balwinder Kaur, Anu Gupta, R.K. Singla

3. Software Engineering Paradigm for Real-Time Accurate Decision Making for Code Smell Prioritization

Randeep Singh, Amit Bindal, and Dr. Ashok Kumar

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

Pawan Kumar and Manmohan Sharma

5. Image Processing for Knowledge Management and Effective Information Extraction for Improved Cervical Cancer Diagnosis

Jaya. S and Latha. M

6. Recreating Efficient Framework for Resource Constrained Environment: HR Analytics and its Trends for Society 5.0

Kamakshi Malik, Rakesh K. Wats, Aman Khera

7. Integration of Internet of Things (IoT) in Health Care Industry: An Overview of Benefits, Challenges and Applications

Afshan Hassan, Devendra Prasad, Meenu Khurana, Umesh Kumar Lilhore, and Sarita Simaiya

8. Cloud, Edge and Fog Computing: Trends and Case studies

Eng Lieh Ouh, Stanislaw Jarzabek, Geok Shan Lim, and Ogawa Masayoshi

9. A Paradigm Shift for Computational Excellence from Traditional Machine Learning to Modern Deep Learning based Image Steganalysis

Neelam Swarnkar, Arpana Rawal, and Gulab Patel

10. Feature Engineering for Presentation Attack Detection in Face Recognition: A Paradigm Shift from Conventional to Contemporary Data-Driven Approaches

Deepika Sharma and Arvind Selwal

11. Reconfigurable Binary Neural Networks Hardware Accelerator for Accurate Data Analysis in Intelligent Systems

A. Kamaraj and J. Senthil Kumar

12. Recommender System: Techniques for Better Decision Making for Society 5.0

Asha Rani, Kavita Taneja, and Harmunish Taneja

13. Implementation of Smart Irrigation System Using Intelligent Systems and Machine Learning Approaches

Raghuraj Singh, Ashutosh Deshwal, and Kuldeep Kumar

14. Light-Weight Cryptography Using a Trust-Based System for Internet of Things (IoT)

Amit Chadgal and Arvind Selwal

15. Innovation in Healthcare for Improved Pneumonia Diagnosis with Gradient-Weighted Class Activation Map Visualization

Guramritpal Singh Saggu, Keshav Gupta, and Palvinder Singh Mann

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