AI-Centric Modeling and Analytics
Concepts, Technologies, and Applications
1st Edition
Published on 26. May 2025
Book
Paperback/Softback
368 pages
978-1-032-50879-5 (ISBN)
Description
This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, machine learning-aided models, Internet of Things-driven applications, and cybersecurity techniques in the era of Industrial Revolution 4.0.
AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. It also includes AI-centric approaches for the overall innovation, development, and implementation of business development and management systems along with a discussion of AI-centric robotic process automation systems that are useful in many government and private industries.
This reference book targets a mixed audience of engineers and business analysts, researchers, professionals, and students from various fields.
AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. It also includes AI-centric approaches for the overall innovation, development, and implementation of business development and management systems along with a discussion of AI-centric robotic process automation systems that are useful in many government and private industries.
This reference book targets a mixed audience of engineers and business analysts, researchers, professionals, and students from various fields.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Professional Reference and Undergraduate Advanced
Illustrations
151 s/w Abbildungen, 5 s/w Photographien bzw. Rasterbilder, 146 s/w Zeichnungen, 63 s/w Tabellen
63 Tables, black and white; 146 Line drawings, black and white; 5 Halftones, black and white; 151 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 21 mm
Weight
603 gr
ISBN-13
978-1-032-50879-5 (9781032508795)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Alex Khang | Vugar Abdullayev | Babasaheb Jadhav
AI-Centric Modeling and Analytics
Concepts, Technologies, and Applications
Book
12/2023
1st Edition
CRC Press
€248.00
Shipment within 10-20 days
Alex Khang | Vugar Abdullayev | Babasaheb Jadhav
AI-Centric Modeling and Analytics
Concepts, Technologies, and Applications
E-Book
12/2023
1st Edition
Taylor & Francis
€69.99
Available for download
Alex Khang | Vugar Abdullayev | Babasaheb Jadhav
AI-Centric Modeling and Analytics
Concepts, Technologies, and Applications
E-Book
12/2023
1st Edition
Taylor & Francis
€69.99
Available for download
Persons
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).
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).
Content
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.