Books in Artificial intelligence

Advances in Image Processing, Reliability, and Artificial Intelligence

1st Edition
November 16, 2025
Mario J. Divan + 4 more
English

Advances in Image Processing, Reliability, and Artificial Intelligence: Data Centred-Techniques and Applications in Edge Computing provides a clear outlook of the mechanisms, risks, challenges, and opportunities in system reliability for image processing and AI applications running on edge devices. It provides Best Known Configuration (BKC) and Methods (BKM) while discussing trends and future works based on current research. The content serves as a reference for practitioners and provides a state-of-the-art for researchers in the area. It provides foundations to analyse and replicate different applications through use cases. It tackles concerns for how reliability aspects (i.e., fault tolerance, availability, maturity, and recoverability) are addressed for applications running in an environment that is not fully controlled and exposed to environmental variations.

Modeling, Dynamics and Control approaches for Modern Robotics

1st Edition
November 3, 2025
Ahmad Taher Azar + 1 more
English

Modeling, Dynamics and Control approaches for Modern Robotics explores and investigates various theoretical and practical principles related to modeling, dynamics, and control in robotics. The objective is to enhance the understanding and development of robotic systems by applying these principles. Through accurate representations of robot kinematics and dynamics, researchers aim to effectively analyze and predict robot behavior. This title focuses on designing algorithms and control strategies for precise and efficient robotic system management.Additiona... the book delves into sensory feedback and perception systems for robots, advancements in autonomous vehicles, industrial automation, humanoid robots, and medical robotics, showcasing the integration of technology and computing power in modern applications. The study of control approaches and the development of optimized performance schemes are highlighted, demonstrating the significance of stability and adaptive response in changing environments. This comprehensive examination underscores the evolution and complexity of robotic systems, emphasizing their growing role in various sectors.

Human-Machine interfaces in Medical Robotics

1st Edition
November 1, 2025
Yanpei Huang + 6 more
English
Paperback
9 7 8 0 4 4 3 1 3 7 2 3 5
eBook
9 7 8 0 4 4 3 1 3 7 2 4 2

Human-Machine Interfaces in Medical Robotics presents essential and advanced information on developing intuitive human-machine interfaces (HMI) for robotic surgery and rehabilitation. This book provides extensive coverage of multidisciplinary information needed to develop efficient HMI, discussing core technologies of the field, including hand-free control strategies, sensory feedback, data-driven approaches, human-robot shared control, autonomous control, human motor adaption, training, and learning.Arranged in three parts, including interfaces in medical robotics, intelligent machines, and human users, this book provides potential solutions to open questions like what the optimal interface and efficient interaction mode is to facilitate a surgeon’s operation, a patient’s motor control, or human augmentation.

Video Health Monitoring in Hospitals

1st Edition
November 1, 2025
Wenjin Wang + 3 more
English
Paperback
9 7 8 0 4 4 3 2 6 5 8 6 0
eBook
9 7 8 0 4 4 3 2 6 5 8 7 7

Video Health Monitoring in Hospitals discusses the emergence of camera-based, contactless physiological measurement as a groundbreaking solution in healthcare monitoring. The book highlights the technology's non-invasiveness, capacity for continuous and long-term monitoring, and its ability to capture not only vital signs but also contextual information and behaviors. A unique aspect of this book is its rich set of compelling healthcare applications that will attract broader audiences (including researchers, engineers, clinicians, and students) from multidisciplinary fields.Finally, the book discusses the role of artificial intelligence in enhancing healthcare applications and aims to engage the healthcare industry in adopting this innovative approach to improve patient care and outcomes.

Multimodal Learning Using Heterogeneous Data

1st Edition
November 1, 2025
Saeid Eslamian + 3 more
English

Multimodal Learning Using Heterogeneous Data is a comprehensive guide to the emerging field of multimodal learning, which focuses on integrating diverse data types such as text, images, and audio within a unified framework. The book delves into the challenges and opportunities presented by multimodal data and offers insights into the foundations, techniques, and applications of this interdisciplinary approach. It is intended for researchers and practitioners interested in learning more about multimodal learning and is a valuable resource for those working on projects involving data analysis from multiple modalities.The book begins with a comprehensive introduction, focusing on multimodal learning's foundational principles and the intricacies of heterogeneous data. It then delves into feature extraction, fusion techniques, and deep learning architectures tailored for multimodal data. It also covers transfer learning, pre-processing challenges, and cross-modal information retrieval. The book highlights the application of multimodal learning in specialized contexts such as sentiment analysis, data generation, medical imaging, and ethical considerations. Real-world case studies are woven into the narrative, illuminating the applications of multimodal learning in diverse domains such as natural language processing, multimedia content analysis, autonomous systems, and cognitive computing. The book concludes with an insightful exploration of multimodal data analytics across social media, surveillance, user behavior, and a forward-looking examination of future trends and practical implementations. As a collective resource, Multimodal Learning Using Heterogeneous Data illuminates the powerful utility of multimodal learning to elevate machine learning tasks while also highlighting the need for innovative solutions and methodologies. The book acknowledges the challenges associated with deep learning and the growing importance of ethical considerations in the collection and analysis of multimodal data.Overall, Multimodal Learning Using Heterogeneous Data provides an expansive panorama of this rapidly evolving field, its potential for future research and application, and its vital role in shaping machine learning's evolution.

AI and Data Science in Medical Research

1st Edition
November 1, 2025
Olfa Boubaker
English

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies.The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

Digital Transformation in Artificial Systems

1st Edition
November 1, 2025
Mirko Farina + 3 more
English

Digital Transformation in Artificial Systems: Engineering Requirements and Political, Economic, and Philosophical Challenges is a groundbreaking work that scrutinizes the engineering necessities, political ramifications, and ethical dilemmas associated with the digital transformation, particularly within Artificial Systems. This transformative concept, which involves leveraging technological advancements to redefine operations and processes, is explored through an interdisciplinary lens, incorporating insights from computer science, engineering, philosophy, economy, and sociology. The book advocates for an inclusive digital transformation that addresses the global digital divide and promotes cooperation in digitization, industrialization, and innovation.It emphasizes the importance of understanding ethical challenges and developing fair policies that enhance human flourishing, social harmony, and moral good. The interdisciplinary framework provided by the authors offers essential insights into the forthcoming AI revolution and its societal impact.

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice

1st Edition
November 1, 2025
Olfa Boubaker
English

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice explores the transformative role of AI and data science in enhancing precision medicine, predictive analytics, and medical practice. The book covers diverse topics such as AI-driven personalized medicine, seizure prediction through EEG analysis, and the application of chaos theory in AI-driven healthcare. The volume also delves into medical practice and education, including ethical considerations, AI-driven supply chain management, and clinical documentation using natural language processing.Furthermo... it examines AI's role in telemedicine, patient engagement, and adherence, offering innovative solutions to improve healthcare delivery and outcomes.

AI and Data Science in Healthcare 5.0

1st Edition
November 1, 2025
Olfa Boubaker
English

AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in modern healthcare, including advanced wearables enhanced by deep learning. The volume also addresses the integration of blockchain technology, IoT, and cloud computing in healthcare, emphasizing real-time applications in precision healthcare. The discussion extends to energy optimization in smart hospitals, federated learning for IoMT networks, and advanced patient monitoring systems.The volume concludes with an overview of the future opportunities and challenges in Healthcare 5.0.

Exploring Infant Cry

1st Edition
November 1, 2025
Carlos Alberto Reyes Garcia + 3 more
English

Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives brings together the most advanced medical and technical knowledge in the study of infant crying. This book includes medical, technical, and computational approaches to cry processing for classification and diagnostic purposes. The book is written by medical and technical experts in Infant Cry processing and is an important step forward for research dealing with the process and interpretation of crying from both medical and technical perspectives. The number of research groups dedicated to this area has been growing, and with more research emerging it will be possible to use crying analysis as a powerful non-intrusive diagnostic tool for a large number of pathologies from the time they begin to appear, as well as for determining the cause of the crying in such a way as to tell parents the various reasons why a baby is crying. Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives presents the advances of international groups of researchers where normal and pathological patterns of infant crying are studied, the possibilities of cry analysis for neonatal diagnosis, as well as perspectives on the development of this emerging field of research. The links of a baby’s first cries with the formation of language are addressed in the volume, as well as the communicative potential of the crying signal that makes this attribute a primary part of the vast and complex environment of human communication. Although the analysis of infant crying has received the attention of scientists and scholars of crying from diverse and varied approaches for more than 50 years, it continues to be an open topic with multiple unsolved or sufficiently investigated aspects, mainly in the area of routine applications to neonatal diagnosis.Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives brings together for the first time the most advanced medical and technical knowledge on the study of crying babies. Considering on one hand the most important information as a diagnostic element, from the medical point of view, along with that provided by the technological field in order to automate acoustic processing, extraction of the most distinctive features, as well as recognition of outstanding patterns and their classification by type of pathology or cause of crying. These provide informative support tools for biomedical researchers, doctors, and clinicians. As a contribution to the technological support, a notable aspect of the book is the authors’ compilation of the most recent approaches to the classification of infant crying in correspondence with the important advances achieved in the field of signal processing, Artificial Intelligence, and soft computing. Readers of the book will find it to be an effective way to discover the foundations of the analysis of infant crying, as well as the various approaches and perspectives that have made it possible to advance the understanding of crying as an acoustic, neurophysiological, communicative, and linguistic phenomenon.

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