AI-Centric Modeling and Analytics (eBook, PDF)

Concepts, Technologies, and Applications
Redaktion: Khang, Alex; Morris, Gilbert; Gupta, Shashi; Jadhav, Babasaheb; Abdullayev, Vugar

• Format: PDF

Produktbeschreibung

This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, ML-aided models, IoT-driven applications, and cybersecurity techniques in the era of the Industrial Revolution 4.0.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 396
• Erscheinungstermin: 6. Dezember 2023
• Englisch
• ISBN-13: 9781003815303
• Artikelnr.: 69296295

Autorenporträt

Alex Khang is a professor in information technology, AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. Vugar Abdullayev, Doctor of Technical Sciences, is an associate professor in the Computer Engineering department at Azerbaijan State Oil and Industry University, Baku, Azerbaijan. Babasaheb Jadhav is an associate professor in the area of finance and international business at Dr. D. Y. Patil Vidyapeeth (Deemed to be University), Global Business School and Research Centre, Sant Tukaram Nagar, Pimpri, Pune (Maharashtra), India. Shashi Kant Gupta is a director and researcher at the research department of CREP, Lucknow, Uttar Pradesh, India. Gilbert Morris, National Public Reader of the Bahamas appointed by the Prime Minister, is Ambassador-at-Large and Scholar-in-Residence at the Bahamas Foreign Services Institute (BFSI).

Inhaltsangabe

1. Artificial Intelligence-Based Model and Applications in Business
Decision-Making. 2. Exploration of Machine Learning Models for Business
Ecosystem. 3. The Role of Big Data and Data Analysis Tools in Business and
Production. 4. Revolutionized Teaching by Incorporating Artificial
Intelligence Chatbot for Higher Education Ecosystem. 5. Application of
Artificial Intelligence in AgroWeb. 6. Natural Language Processing: A Study
of State of the Art. 7. Application of Artificial Intelligence in
Healthcare System Management with Dynamic Modelling of COVID-19 Diagnosis.
8. Breast Cancer Prediction Using Voting Classifier Model. 9. Protects
Privacy for Internet of Medical Things Data Using Effective Outsourced
Support Vector Machine Approach. 10. Robotics in Real-Time Applications
Using Bayesian Hyper-Tuned Artificial Neural Network. 11. Quantitative
Study on Variation of Glaucoma Eye Images Using Various EfficientNetV2
Models. 12. Disaster Management System for Forest Fire Prediction: Fog and
Cloud Data-Driven Analytical Compatible Model. 13. Hybrid Particle Swarm
Optimization with Random Forest Algorithm Used in Job Scheduling to Improve
Business and Production. 14. Robotic Process Automation Applications in
Data Management. 15. Artificial Intelligence-Enabled Bibliometric Analysis
in Tourism and Hospitality Using Biblioshiny and VOSviewer Software. 16.
Data-Centric Predictive Analytics for Solving Environmental Problems. 17.
Phishing Attack and Defense: An Exploratory Data Analytics of Uniform
Resource Locators for Cybersecurity. 18. Analysis of Deep Learning-Based
Approaches for Spam Bots and Cyberbullying Detection in Online Social
Networks.