Books in Artificial intelligence

Intelligent and Soft Computing

1st Edition
August 1, 2025
Ishaani Priyadarshini + 3 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 0 0 9 0 - 5
eBook
9 7 8 - 0 - 4 4 3 - 3 0 0 9 1 - 2

Intelligent and Soft Computing: Techniques and Applications illustrates the synergistic effect of cutting-edge developments in all areas of both fields to build intelligent software systems to solve a multitude of problems. The book offers an introduction to artificial intelligence as well as fuzzy logic concepts, systems, and methods. Additional sections focus on AI tools and applications, search and data mining, reasoning and evolution, as well as nature-inspired computing techniques. Applications and case studies are included in all chapters, making this an ideal resource for researchers, graduate students, and professionals working in these domains.Readers will find this to be a timely reference on current and future developments in this emerging domain for decision support, management, information technology, and business applications.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

1st Edition
July 1, 2025
Manuel González Canché
English
Paperback
9 7 8 - 0 - 4 4 3 - 2 1 9 6 1 - 0
eBook
9 7 8 - 0 - 4 4 3 - 2 1 9 6 0 - 3

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools—just as people do not need to know C++ or TypeScript to benefit from Microsoft Word.The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Mastering Prompt Engineering

1st Edition
July 1, 2025
Anand Nayyar + 2 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 3 9 0 4 - 2
eBook
9 7 8 - 0 - 4 4 3 - 3 3 9 0 5 - 9

Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach.

Urban Computing and Artificial Intelligence

1st Edition
June 1, 2025
Ansar Khan + 2 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 1 4 1 6 8 - 3
eBook
9 7 8 - 0 - 4 4 3 - 1 4 1 6 9 - 0

Urban Computing and Artificial Intelligence: A Data-Driven Tool for Urban Heat Mitigation is the first full synthesis of modern scientific and applied research on climate change, urban warming, and the future of resilient cities. The book helps city governments better understand how to plan for the effects of climate change and impending natural disasters. It compiles the concepts, strategies, and technologies associated with resilient cities, and provides an outline of what constitutes climate change and its behavior relating to urban systems. Finally, the book develops a comprehensive concept for the future resiliency of cities related to hydro-climatology and extreme events.Next, it explains the physical principles governing the formation of distinct hydro-climatology and resilient cities, and then illustrates how this knowledge can be applied to moderate the undesirable consequences of swift and haphazard urban development (energy, peak electricity demand, health, comfort, economy, and environment) and help to create more sustainable and resilient cities for the future. With urban climate science now a fully-fledged growing field, this timely book fulfils the need to bring together the disparate parts of urban climate research in global cities into a coherent framework. It is an ideal resource for students, researchers, and policymakers in the fields of urban climate, urban architecture and planning, environmental engineering, urban design, and redevelopment.

Medical Robotics and Intelligent Healthcare Technologies

1st Edition
June 1, 2025
Jacky Baltes + 3 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 2 4 7 6 6 - 8
eBook
9 7 8 - 0 - 4 4 3 - 2 4 7 6 7 - 5

Medical Robotics and Intelligent Healthcare Technologies: AI Applications to Improve Healthcare in Developing Countries is an essential reference for professionals and researchers in fields such as biomedical engineering, health informatics, bioelectronics, medical electronics, physiology, and robotics. This book presents the latest advancements in AI and machine learning-based robotics applications, enabling readers to quickly grasp effective methods and compare various approaches. Addressing critical research areas that directly impact human life and health fills a significant market gap, providing valuable insights into AI, deep learning, machine learning, and big data analytics methods as they relate to emerging robotics research models in the biomedical and healthcare domains.It offers a comprehensive understanding of the concepts, themes, and tools in medical robotics, IoT-based applications, edge computing, and artificial intelligence. With a specific focus on developing countries, this book catalyzes healthcare progress by showcasing the potential of medical robotics and intelligent healthcare technologies. It aims to empower researchers and practitioners to harness these state-of-the-art technologies to improve healthcare systems worldwide.

ChatGPT

1st Edition
June 1, 2025
Ge Cheng
English
Paperback
9 7 8 - 0 - 4 4 3 - 2 7 4 3 6 - 7
eBook
9 7 8 - 0 - 4 4 3 - 2 7 4 3 7 - 4

ChatGPT: Principles and Architecture bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to effectively leverage these technologies in their respective fields. In addition, it tackles the complexity of understanding large language models and their practical applications by demystifying underlying technologies and strategies used in developing ChatGPT and similar models. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, thus paving the way for innovative applications and solutions in their professional domains.Sections focus on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. It is ideal for the needs of industry professionals, researchers, and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies.

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks

1st Edition
June 1, 2025
Dinh Thai Hoang + 3 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 2 9 0 3 2 - 9
eBook
9 7 8 - 0 - 4 4 3 - 2 9 0 3 3 - 6

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their applications in detecting and preventing cyberattacks in future IoT systems. Chapters investigate the key challenges and vulnerabilities found in IoT security, how to handle challenges in data collection and pre-processing specific to IoT environments, as well as what metrics to consider for evaluating the performance of machine learning models. Other sections look at the training, validation, and evaluation of supervised learning models and present case studies and examples that demonstrate the application of supervised learning in IoT security.

Artificial Intelligence Innovations for Biomedical Engineering and Healthcare

1st Edition
June 1, 2025
Alma Y Alanis + 3 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 2 8 5 6 - 5
eBook
9 7 8 - 0 - 4 4 3 - 3 2 8 5 7 - 2

Artificial Intelligence Innovations for Biomedical Engineering and Healthcare bridges the evolving domains of artificial intelligence and biomedical engineering and healthcare. In an era where data-driven insights and precision medicine are essential in healthcare, this book explores emerging trends, and showcases AI's potential in transforming patient care, diagnosis, and the treatment of chronic diseases. The book goes on to examine how advanced technologies, including complex networks and AI-driven diagnostics, are reshaping the healthcare landscape. It simplifies the relationship between artificial intelligence and biomedical engineering, elucidating how these technologies are revolutionizing self-care. From decoding complex networks to revealing AI's role in treating chronic diseases, this book serves as a guide to understanding how innovation is reshaping the healthcare landscape.

Quantum Health AI

1st Edition
June 1, 2025
Dominique J Monlezun
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 3 3 5 3 - 8
eBook
9 7 8 - 0 - 4 4 3 - 3 3 3 5 4 - 5

Quantum Health AI: The Revolution of Medicine, Public Health, and Global Health is the first comprehensive book defining the transformation of the global health ecosystem by the fusion of our most powerful technologies—quantum computing and artificial intelligence—while defending an actionable human-centred approach to doing so responsibly, equitably, and sustainably. We can continue to watch wars, diseases, poverty, polarization, cyber-crime, and climate change only worsen. Our strongest technologies can remain centralized in a small number of companies and countries for their profit and power. Or we can cooperatively put quantum AI to work for the health of all of us, by better managing this technology’s overarching strategic competition between democracies and autocracies, along with the public and private sectors (balancing human security with national security, economic growth with household livelihoods, individual rights with the common good). This book draws on the decade plus of original research and first-hand perspective of the world’s first triple doctorate-trained physician-data scientist and AI ethicist. It unpacks the history, science, values, and political economics framing and driving quantum AI (including its physics, metaphysics, ethics, governance, computing, sensing, communication, materials, and security), the global health ecosystem (healthcare systems, public health agencies, biotechnology companies, and development institutions), and their growing integration, wins, and challenges. This one-stop book provides a global, inclusive, and practical guide for understanding and shaping these societal and technological trends. It thus empowers health, technology, and policy students, practitioners, professionals, researchers, and leaders in organizations, universities, companies, and governments—ultimately to make and maintain the human-centred quantum AI safeguarding and advancing humanity’s health, home, and future.

Emerging Fuzzy Intelligent Systems for Smart Healthcare Management

1st Edition
June 1, 2025
Shahzaib Ashraf + 3 more
English
Paperback
9 7 8 - 0 - 4 4 3 - 3 3 9 9 7 - 4
eBook
9 7 8 - 0 - 4 4 3 - 3 3 9 9 8 - 1

Emerging Fuzzy Intelligent Systems for Smart Healthcare Management: Applications of Disc q-Rung Orthopair Fuzzy Sets presents comprehensive methodological frameworks and the latest empirical research findings concerning disc q-rung orthopair fuzzy operators, with a specific focus on their applications in smart technologies for healthcare management. The book solves a crucial problem by offering readers an invaluable opportunity to conduct a comparative analysis, contrasting the proposed methods with their existing knowledge base. Disc q-Rung Orthopair sets, being the generalization of q-Rung Orthopair fuzzy sets, which are, in turn, the generalization of Pythagorean fuzzy sets, extend the capabilities of handling uncertainty beyond conventional fuzzy sets.The authors strive to narrow the knowledge gap by clarifying the practical applications of disc q-rung orthopair fuzzy logic. In addition, it explores an enhanced version of q-Rung Orthopair Fuzzy Sets, specifically focusing on Disc q-Rung Orthopair Fuzzy Sets, introducing various types of operators. These operators play a crucial role in solving decision-making and optimization problems. A notable contribution is the development of a hybrid operator, termed as the Disc q-Rung Orthopair Fuzzy Hybrid Weighted Averaging/Geometric (D-qROFHWA/G) operator.

Related subjects

Artificial intelligence expert systems and knowledge based systems

Artificial intelligence general

Cognitive science

Computer human interaction

Evolutionary computation genetic algorithms programming

Fuzzy logic

Machine learning

Natural language and computational linguistics

Neural networks

Planning and scheduling

Reasoning

Robotics and autonomous systems

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health