E-Book, Englisch, 260 Seiten
Khan / Hasan / Varish Advancements in Artificial Intelligence and Machine Learning
1. Auflage 2025
ISBN: 978-981-5322-58-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
E-Book, Englisch, 260 Seiten
ISBN: 978-981-5322-58-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries, reshaping the way we interact with technology, and driving innovation across multiple disciplines. Advancements in Artificial Intelligence and Machine Learning is a comprehensive exploration of the latest developments, applications, and challenges in AI and ML, offering insights into cutting-edge research and real-world implementations. This book is a collection of twelve chapters, each exploring a distinct application of Artificial Intelligence (AI) and Machine Learning (ML). It begins with an overview of AI's transformative role in Next-Gen Mechatronics, followed by a comprehensive review of key advancements and trends in the field. The book then examines AI's impact across diverse sectors, including energy, digital communication, and security, with topics such as AI-based aging analysis of power transformer oil, AI in social media management, and AI-driven human detection systems. Further chapters address sentiment analysis, visual analysis for image processing, and the integration of AI in smart grid networks. The volume also covers AI applications in hardware security for wireless sensor networks, drone robotics, and crime prevention systems. The final set of chapters highlight AI's role in healthcare and automation, including an AI-assisted system for women's safety in India and the use of EfficientNet B0 CNN architecture for brain tumor detection and classification. Together, these chapters showcase the versatility and growing influence of AI and ML across critical modern industries. Key features A multidisciplinary approach covering AI applications in robotics, cybersecurity, healthcare, and digital transformation in 12 organized chapters. A focus on contemporary challenges and solutions in AI and ML across industries. Research-driven insights from experts and practitioners in the field. Practical discussions on AI-driven automation, security, and intelligent decision-making systems.
Autoren/Hrsg.
Weitere Infos & Material
Next-Gen Mechatronics: The Role of Artificial Intelligence
Nafees Akhter Farooqui1, Zulfikar Ali Ansari1, *, Rafeeq Ahmed2, Ahmad Neyaz Khan1, Shadab Siddiqui3, Mohammad Ishrat1, Mohd Haleem4, Sarosh Patel5
Abstract
The incorporation of artificial intelligence (AI) into healthcare systems has demonstrated significant potential to transform patient care, diagnosis, and treatment. Nevertheless, the implementation of artificial intelligence (AI) in the healthcare sector presents difficulties concerning transparency, interpretability, and trust, especially when there are new possibilities for automated decision-making and enhanced efficiency in many different areas, thanks to the combination of artificial intelligence and mechatronics. Automation and robotics are improving as mechatronics integrates AI. Grand View Research expects the global mechatronics and robotics course market to reach $3.21 billion by 2028, expanding 13.7% from 2021 to 2028. This chapter aims to give a general outline of mechatronics-related artificial intelligence (AI), including its applications, advantages, and challenges. The field focuses on developing intelligent machines with the ability to learn, understand data, and react accordingly. Machine learning and deep learning are two forms of artificial intelligence that have enabled robots and autonomous vehicles to detect their environment, traverse complicated scenarios, and make smart decisions using the data they collect. Artificial intelligence (AI) improves mechatronic systems by expanding their capabilities, which boosts their performance, output, and reliability. Nevertheless, ethical considerations and implementation challenges need to be resolved before the full potential of AI in mechatronics can be realized.
* Corresponding author Zulfikar Ali Ansari: Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh 522502, India; E-mail: zulfi78692@gmail.com
INTRODUCTION
The primary objective of mechatronics is to build intelligent systems through the integration of several disciplines, including electronics, control engineering, computer science, mechanical engineering, and mechanical engineering. It is a young and expanding area that has already made a big splash in many sectors, including robotics, manufacturing, aerospace, healthcare, and automobiles. In the development of cutting-edge technology and novel approaches to difficult challenges, mechatronics is an indispensable tool. The Japanese invented the word “mechatronics” in the late 1960s, fusing the mechanical “mecha” with the electrical “tronics” [1].
It arose in reaction to the growing need for systems and products to incorporate both mechanical and electronic parts. Intelligent machines that are precise, efficient, and adaptable in their work are the goal of mechatronics.
The remarkable adaptability and versatility of mechatronic systems are attributed to their capacity to perceive and react to their surroundings. To accomplish complicated tasks independently or with little to no human involvement, these systems are programmed to communicate with one another, with other machines, and with the real environment. They can detect, analyze, and respond to data because of the sensors, actuators, microcontrollers, and algorithms built into their software.
Everything from basic home appliances and cell phones to advanced industrial robots and driverless cars falls under the umbrella of mechatronics. When it comes to making sure these systems work, are reliable, and are safe to use, mechatronic engineers are the ones to call. The capacity of mechatronics to unite several branches of engineering is one of its main strengths. More efficient, dependable, and cost-effective systems can be created by mechatronics engineers by integrating mechanical, electrical, and computer engineering principles [2]. By bringing together experts from different fields, we can improve performance and functionality by integrating hardware and software components seamlessly.
Innovation and technological progress are propelled by mechatronics. It makes possible the creation of state-of-the-art technology including smart systems, automation, robotics, and artificial intelligence. In addition to enhancing productivity, security, and quality of life, these technologies may cause a revolution in several different industries [3].
Hence, mechatronics is an interdisciplinary discipline that integrates electrical engineering, control engineering, computer science, and mechanical engineering to develop intelligent systems. Because it facilitates the creation of cutting-edge technology and novel solutions, it has grown into an important field in many different sectors. When it comes to developing flexible and versatile systems, mechatronics experts are crucial in combining software and hardware components [4]. I am confident that mechatronics will revolutionize engineering and our daily lives thanks to its capacity to spur innovation and technical progress.
OVERVIEW OF ARTIFICIAL INTELLIGENCE
The field of Artificial Intelligence (AI) is ever-evolving as scientists work tirelessly to develop increasingly intelligent and powerful machines. Over the past few years, advancements in artificial intelligence (AI) have completely altered our daily lives and the way we accomplish collective goals. An extensive review of AI, including its background, current uses, difficulties, and possible future advancements, will be presented in this essay [5]. Artificial intelligence has been around for a long time; in fact, machines that look like humans first appeared in ancient tales and folklore. In contrast, computer scientists began investigating the possibility of developing computers with intelligence comparable to that of humans in the 1950s, marking the beginning of the contemporary era of AI development. The inaugural use of the term “artificial intelligence” was during the 1956 Dartmouth Symposium, when researchers deliberated on developing intelligent robots [6]. Fig. (1) shows just an overview of Artificial Intelligence.
Creating expert systems and rule-based systems that could simulate human decision-making was the primary goal of early artificial intelligence research. Unfortunately, data shortages and insufficient computer capacity caused progress to be slow. A lot of data was available and machine learning techniques came out in the 1990s, but AI didn't take off until then [7]. The term “artificial intelligence” describes computers that can learn, reason, and make judgments just like a person. Two main schools of thought exist within the field of artificial intelligence: narrow AI and general AI. Narrow AI is purpose-built to excel in a small subset of general AI activities. However, the goal of general AI is to make machines as smart as humans are in a variety of contexts. The widespread use of AI is revolutionizing many different industries and bringing about significant gains in productivity. The healthcare industry is seeing a surge in the use of artificial intelligence. Medical data can be analysed by machine learning algorithms to aid in drug discovery, forecast patient outcomes, and identify disorders. The use of AI-powered robots in surgery has also been found to increase accuracy and decrease the likelihood of human mistakes [8].
Fig. (1))Overview of artificial intelligence.
Autonomous vehicles are being reshaped by artificial intelligence in the transportation industry. To assess their surroundings, make decisions, and makeovers safely, self-driving cars employ artificial intelligence algorithms. Better and more environmentally friendly transportation may be possible with the help of this technology if it can lessen traffic jams, accidents, and carbon emissions. The banking sector is...
