Cutting-Edge Artificial Intelligence Advances and Implications in Real-World Applications

by Walayat Hussain, Luis Martínez López, Manoj Sahni, Zhen-Song Chen, Jun Liu

Overview

Artificial intelligence (AI) is impacting industries worldwide by introducing new methods and altering traditional practices. This book examines AI’s diverse effects, providing insights into its applications, challenges, and future prospects across education, healthcare, finance, and more.

The chapters explore how AI technologies, such as large language models, enhance feedback in higher education and influence legal studies while upholding academic integrity. A review of key technical approaches—knowledge-based systems, machine learning, and intelligent optimization—lays the groundwork for understanding AI’s potential. Real-world examples illustrate AI’s role in medical imaging, presenting new diagnostic methods and the use of language models for image interpretation. The book also discusses financial applications, including techniques for credit card fraud detection and forecasting natural gas prices using innovative models. Additionally, it covers personalized federated learning models, highlighting the importance of data privacy and security in AI’s evolution.

This comprehensive guide is valuable for educators, researchers, practitioners, and students interested in AI’s current and future developments. By combining theory with practical examples, the book offers readers a clear understanding of how AI affects various sectors, enabling them to engage effectively with this rapidly evolving field.

Product Details

ISBN-13:	9781032632469
Publisher:	CRC Press
Publication date:	06/29/2025
Pages:	200
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Walayat Hussain received his PhD in Computer Systems from the University of Technology Sydney, Australia. He is currently an associate professor and the head of the Information Technology & Systems Discipline at Australian Catholic University, Australia. His research interests include AI, business intelligence, computational intelligence, and service computing.

Luis Martínez López received his PhD in Computer Sciences from the University of Granada, Granada, Spain, in 1999. He is currently a professor in the Department of Computer Science at the University of Jaén, Jaén, Spain. His research interests focus on fuzzy decision-making, linguistic preference modeling, fuzzy systems, decision support systems, and recommender systems.

Manoj Sahni received his PhD in Applied Mathematics from Jaypee Institute of Information Technology, Noida, India. He is currently a professor at the School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India. He exemplifies dedication and expertise as a distinguished mathematics educator and researcher, with over 20 years of invaluable contributions to teaching and scholarly inquiry.

Zhen-Song Chen is a senior member, IEEE. He received his PhD in Traffic and Transportation Planning and Management from the School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China, in 2016. He is currently an associate professor and a Chutian Fellow in the School of Civil Engineering at Wuhan University. He has authored or coauthored more than 190 papers in reputed journals.

Jun Liu received his PhD in Information Engineering from Southwest Jiaotong University, Chengdu, China, in 1999. He is currently a professor of Artificial Intelligence and the director of the Artificial Intelligence Research Centre (AIRC) at the School of Computing, Ulster University. He has been actively working in the field of AI for many years.

Table of Contents

1 Utilising Large Language Models for Feedback Generation in Higher Education: Insights from Student Perceptions 2 Balancing Innovation and Integrity: The Integration and Implications of Generative Artificial Intelligence in Legal Education 3 Three Technical Routes of AI 4 Multi-Criteria Decision-Making for Operating ATM Systems 5 FFP: A Robust, Interpretable, and Lightweight Framework for Medical Image Diagnosis 6 Grey Prediction Model Based on Fixed-Point Accumulation and Its Application to Predict Natural Gas Futures Contract Price 7 Large Language Models in Medical Image Understanding 8 Enhancing Credit Card Fraud Detection with Spatial-Temporal Analysis and Balanced Learning Approaches