Algorithm Management Optimization: Intelligent Series Algorithm Management in Healthcare: Optimization, Security and Scalable Solutions takes a forward-looking approach to the deployment, management, and optimisation of series algorithms within modern healthcare systems.The book addresses the critical need for efficient, secure, and scalable algorithmic solutions that enhance decision-making, improve operational efficiency, and support real-time healthcare delivery.Structur...

Algorithm Management Optimization: Intelligent Series Algorithm Management in Healthcare: Optimization, Security and Scalable Solutions takes a forward-looking approach to the deployment, management, and optimisation of series algorithms within modern healthcare systems. The book addresses the critical need for efficient, secure, and scalable algorithmic solutions that enhance decision-making, improve operational efficiency, and support real-time healthcare delivery.Structured across ten c...

Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although ...

Explainable AI for Transparent and Trustworthy Medical Decision Support equips readers with a comprehensive and timely resource that presents the principles, methodologies, and real-world applications of explainable AI (XAI) within the medical context. Covering a wide range of use cases—from radiology and pathology to genomics and clinical decision support systems—the book provides in-depth discussions on how XAI techniques can enhance interpretability, improve clinician trust, meet regula...

Practical Graph Intelligence 2 delivers a comprehensive and application driven exploration of graph-based methods for understanding complex, interconnected data.This book bridges theory and practice by presenting advanced techniques in graph theory, graph neural networks and network analytics, with a strong focus on real-world implementation. It addresses critical challenges such as scalability, interpretability and dynamic data handling while showcasing a...

The book presents a forward-thinking and interdisciplinary collection of research contributions that seamlessly integrate technological innovation with the principles of sustainability. The core purpose of the book is to foster dialogue and collaboration focused on building intelligent, secure, and environmentally responsible computing systems. As the digital landscape rapidly evolves, ICSDC 2025 addresses the critical need for advanced distributed and intelligent technologies that align w...

Practical Graph Intelligence 1 is positioned at the intersection of graph theory, network science and applied computing, offering a structured pathway for understanding and implementing graph-based solutions.This book systematically develops core concepts in graph algorithms and network analysis, while emphasizing practical implementation using Python. It explores fundamental structures, traversal techniques, optimization strategies and real-world network modeling, enablin...

Brain-computer interfaces (BCIs) represent a transformative frontier in neurorehabilitation, offering treatment for individuals recovering from neurological injuries and disorders. By linking the brain’s activity to external devices, BCIs enable communication and control without relying on the body’s motor pathways, a powerful tool for patients affected by neurodegenerative diseases. Through real-time monitoring and adaptive feedback, these systems promote neural plasticity and accelerate ...

Modern health informatics manage large volumes of sensitive data while maintaining accuracy, security, and trust. Emerging computational models and data architectures offer new ways to address these demands by improving how information is replicated, validated, and shared across systems. By combining advances in quantum cloning with blockchain solutions, healthcare data systems can move toward more resilient models of data integrity and controlled accessibility. Further exploration may res...

Revolutionize your approach to environmental protection with this groundbreaking resource, which details how to replace labor-intensive manual analysis with deep learning and explainable AI (XAI) to achieve precise, real-time identification and scalable monitoring of microplastic pollution.AI-driven microplastic monitoring sits at the intersection of environmental science, artificial intelligence, and data analytics, representing a rapidly developing frontier in bo...

Unlock the full potential of artificial intelligence in mental health with this definitive guide to combining multiple machine learning models for reproducible biomarker discovery and predictive treatment modeling.Advancing Psychopathology Diagnosis and Treatment: The Power of Ensemble Learning delves into the transformative potential of ensemble learning techniques in the field of psychopathology. This comprehensive book provides an in-depth exploration o...

AI-driven Innovations in Physiotherapy and Oncology 3 is positioned at the intersection of artificial intelligence (AI), clinical rehabilitation and cancer care, addressing the growing need for data-driven, personalized and technology-enabled healthcare solutions. The book contextualizes recent advances in machine learning, deep learning, computer vision and intelligent decision-support systems within modern physiotherapy and oncology practices.This book systematically exp...