The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy across industrial value chains. However, the deployment of AI and ML in industrial settings still fac…
Generative AI, exemplified by models like transformers, has opened up new possibilities in various domains but also raised concerns about fairness, transparency and reliability, especially in fields like medicine and law. This paper emphasizes the urgency of ensuring fairness an…
This study examines the role of Artificial Intelligence (AI) in enhancing sustainability and efficiency within the wine industry. It focuses on AI-driven intelligent management in viticulture, wine production, and enotourism. As the wine industry faces environmental and economic…
Deep learning based localization and mapping has recently attracted significant attention. Instead of creating hand-designed algorithms through exploitation of physical models or geometric theories, deep learning based solutions provide an alternative to solve the problem in a d…
Black box machine learning models are currently being used for high stakes decision-making throughout society, causing problems throughout healthcare, criminal justice, and in other domains. People have hoped that creating methods for explaining these black box models will allev…
Generative Artificial Intelligence (GAI) represents an emerging field that promises the creation of synthetic data and outputs in different modalities. GAI has recently shown impressive results across a large spectrum of applications ranging from biology, medicine, education, le…
Increased adoption of artificial intelligence (AI) systems into scientific workflows will result in an increasing technical debt as the distance between the data scientists and engineers who develop AI system components and scientists, researchers and other users grows. This cou…
The pervasive application of artificial intelligence and machine learning algorithms is transforming many industries and aspects of the human experience. One very important industry trend is the move to convert existing human dwellings to smart buildings, and to create new smart…
Intrusion Detection Systems (IDSs) are essential for monitoring network traffic and identifying malicious activities in modern cyber-physical, Internet of Things (IoT), enterprise, and distributed network environments. However, developing reliable IDS models remains challenging …
Artificial Intelligence (AI) is rapidly transforming the field of mechanical engineering, enabling new capabilities in design, analysis, optimization, and control. This course series provides a comprehensive introduction to AI and machine learning techniques tailored for mechani…
Question 01: Define machine learning and describe the main types of machine learning algorithms. Question 02: What is artificial intelligence and how is it different from machine learning? Question 03: Explain the concept of neutral networks and describe how they are used in mac…
This article explores the theoretical foundations of integrating artificial intelligence (AI) into the Safe City system. Key approaches to using AI to improve urban safety are examined, including monitoring, threat prediction, emergency management, and optimization of response r…
Artificial Intelligence (AI) has emerged as the foundation of the Fourth Industrial Revolution. It integrates data analysis, autonomous reasoning, and adaptive control into modern automation, robotics, and decision-making systems. This paper provides a theoretical and practical …
The banking industry's compliance infrastructure is undergoing a fundamental transformation as institutions migrate from established rule-based transaction monitoring systems (TMS) toward artificial intelligence-driven anomaly detection frameworks. This paper presents a comparat…
This paper looks at how Artificial Intelligence is changing, with a focus on the main difference between Traditional AI and Agentic AI. Agentic AI, on the other hand, acts on its own, has clear goals, and changes based on its surroundings. Traditional AI, on the other hand, is t…
Artificial Intelligence is a comprehensive academic textbook designed to provide students, educators, researchers, and technology enthusiasts with a strong foundation in the rapidly evolving field of AI. Authored by experienced academicians and industry professionals, this book …
This chapter provides a comprehensive examination of Artificial Intelligence (AI) and Machine Learning (ML) as transformative forces within Library and Information Science (LIS). Beginning with a historical overview of AI adoption in library contexts, the chapter progresses thro…
Abstract Artificial Intelligence (AI) is transforming various domains of healthcare, including dentistry. AI-powered technologies are enhancing diagnostic accuracy, treatment planning, and patient management. This article provides an overview of AI applications in dentistry, inc…
The Ghost in the Machine - AI's Impact on Cultural Heritage (Research) Over the past decade, deep learning methods have made remarkable advancements. This progress can be attributed to various factors such as massive parallelization through the utilization of Graphics Processing…
The rapid expansion of intelligent systems across distributed computing environments has created unprecedented challenges in scalability, interpretability, governance, and interdisciplinary integration. Artificial Intelligence (AI), Edge Computing, Tiny Machine Learning (TinyML)…
This guide provides a practical and accessible introduction to artificial intelligence in healthcare through 40 essential terms that go beyond simple definitions. Designed as a bridge between technical complexity and clinical practice, it translates core AI ideas into real-world…
In this paper we provide a brief information about aspects of Artificial Intelligence. As we are stepping towards future Artificial Intelligence will become an important feature for Mankind. Study of artificial intelligence has quickly affected the rise of brilliant advancements…
Abstract: Artificial intelligence (AI) is a computational approach that aims to mimic human-like thinking/cognitive abilities to tackle complicated engineering issues. AI is appropriate for engineering contexts with a large set of inputs. AI is a feasible alternative to traditio…
The book "Artificial Intelligence (AI) with It's Applications" provides a comprehensive insight into the field of AI, exploring its fundamental principles, modern applications, and future potential. It serves as a valuable resource for students, researchers, and professionals lo…
Mimicking the brain is the most challenging task in the field of computer science since its origin. To achieve this many technologies were introduced namely Artificial intelligence, Machine learning, Neural networks, Deep learning. Among these Deep learning is the promising tech…
Artificial Intelligence encompasses various types and approaches, each tailored to specific tasks and domains. Narrow AI, such as speech recognition and recommendation systems, dominates the current landscape, while research on general AI continues. Machine learning and deep lea…
Next-Generation Mechatronics: Artificial Intelligence and Intelligent Robotics presents a comprehensive exploration of the convergence of mechatronics, artificial intelligence, machine learning, robotics, and intelligent automation. The book introduces the fundamental principles…
While artificial intelligence continues to evolve in terms of computational e6iciency and decision-making capabilities, its ability to engage in self-reflexive processes remains largely unexplored. This study presents a comparative analysis between AI systems with embedded Refle…
Chapter 26