Advances in Civil Aviation Systems Development
This book includes high-quality research papers presented at 3rd International Workshop on Advances in Civil Aviation Systems Development (ACASD 2025), which was joint event of School of Aeronautics and Astronautics of Purdue University (IN, USA) and National Aviation University (Kyiv, Ukraine). This book presents original results of a scholarly study of unique research teams and market leaders on the development in civil aviation systems and its application. The book topics include major research areas focused on advances in air transportation, interference in global navigation satellite system, aircraft noise, communication systems for civil aviation systems, surveillance data processing, methods of operational efficiency improvement, sensors in civil aviation, human factor, and unmanned aircraft systems. Book is useful for scholars and professionals in the civil aviation domain.
Strength and Conditioning for the Human Weapon System
A central focus of the US Military is the Human Weapon System (HWS) and the optimization of this weapon system. Over the past decade, the Department of Defence has invested in programs termed Human Performance Optimization (HPO) programs. Human performance for the human weapon system is much different than the civilian athlete. Therefore, the human weapon system's rehabilitation and performance training requirements are different and must be considered. This book demonstrates the following to strength coaches and practitioners: Why to view the HWS as a multi-faceted system that requires a more inclusive program than needed by athletes. Provide updated methodology to create a strength and conditioning program specifically for the HWS populations. Introduce and define advanced strength and conditioning methodologies SC professionals use within the US Military and law enforcement performance programs.
Financial Data Science
Confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Master the fundamentals with step-by-step introductions to core topics will equip you with a solid foundation for applying data science techniques to real-world complex financial problems. Extract meaningful insights as you learn how to use data to lead informed, data-driven decisions, with over 50 examples and case studies and hands-on Matlab and Python code. Explore cutting-edge techniques and tools in machine learning for financial data analysis, including deep learning and natural language processing. Accessible to readers without a specialized background in finance or machine learning, and including coverage of data representation and visualization, data models and estimation, principal component analysis, clustering methods, optimization tools, mean/variance portfolio optimization and financial networks, this is the ideal introduction for financial services professionals, and graduate students in finance and data science.
Artificial Intelligence for Power Electronics
Thorough review of how artificial intelligence can enhance the design, control, and optimization of power electronics systems Artificial Intelligence for Power Electronics provides a comprehensive overview of the intersection between artificial intelligence (AI) and the field of power electronics, exploring how AI can revolutionize and enhance the design, control, and optimization of power electronics systems. The book covers the fundamentals of AI, the fundamentals of power electronics and the challenges the field faces in design to production, and the solutions of these challenges through AI methods. Example solutions, along with Q&A review sections, are included throughout the text, with coverage of both Python and MATLAB. Some of the topics discussed in Artificial Intelligence for Power Electronics include: Supervised, unsupervised, and reinforcement machine learning and the role of data in training machine learning models Techniques for AI data collection in power electronics and how to clean, normalize, and handle missing values of data Optimization techniques such as Particle Swarm Optimization and Ant Colony Optimization Detection techniques for identifying faults and anomalies and clustering algorithms to group similar operational behavior Essential Python libraries for machine learning and how to perform machine learning on a Raspberry Pi Delivering an industry-specific approach to AI applications, Artificial Intelligence for Power Electronics is a helpful reference for undergraduate, postgraduate, and PhD students in electrical, electronic, and computer engineering. Mechanical engineers and other industry professionals may also find it valuable.
Electronic Health Records - Issues and Challenges in Healthcare Systems
Natural Hydrogen Systems
This publication addresses the growing field of Natural Hydrogen Systems, co-edited by Reza Rezaee and Brian Evans. With a surge in research interest in natural hydrogen and helium, this volume responds to the demand for a comprehensive exploration of hydrogen's natural occurrences, properties, and applications. Covering an array of crucial facets, the book begins with an overview by the editors, setting the stage for an in-depth journey. Chapters unfold to elucidate hydrogen's physical and chemical properties, formation mechanisms, global occurrences, and detection techniques. Experimental investigations, insights from field studies, and a focus on hydrogen as an energy source further enrich the narrative. Environmental impacts, industrial applications, and technological developments are meticulously examined, providing a holistic understanding. The volume concludes with case studies, offering real-world applications and reinforcing theoretical concepts. This book stands as a vital resource for specialists seeking to deepen their knowledge of Natural Hydrogen Systems. With contributions from esteemed researchers, it not only captures the field's current state but also charts a course for future exploration. Its relevance to the target audience lies in its ability to serve as a definitive reference, fostering advancements and innovations in this rapidly evolving domain.
Artificial Intelligence (Ai) in Cell and Genetic Engineering
This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering.
Energy Transition Readiness Assessment for Developing Asia and the Pacific
Nonlinear Robust Control and Optimisation of Microgrids
This book introduces significant innovations to the field of power systems control. It follows a control-theoretic approach to analyzing networked microgrids, providing a deep understanding of system-dynamical behavior and insights into different system parameters. It promotes rigorous control design methods to achieve stable closed-loop dynamics. The proposed methods offer additional benefits such as robustness to system parameter perturbations and constrained operation. The book adds successive levels of complexity in the control design process, enhancing system behavior with valuable properties. Starting with the design of a distributed control scheme for meshed microgrids that enforces both coupled and uncoupled constraints, the book moves on to: reduce conservatism of the control schemes and increase the closed-loop system's region of attraction using a geometric approach; limit system trajectories within the desired operational range by constructing control barrier functions and positive invariant sets; and facilitate the generalization of results to increase relevance beyond their origin in the control of power electronics. This book begins with an extensive introduction to relevant topics, making it accessible to recent graduates, professional engineers, and academic researchers.
Direct Liquid Fuel Cells
This edited guide to direct liquid fuel cells (DLFCs) provides readers with a detailed discussion of their characteristics, mechanisms, and role in global decarbonization. Expert contributors address various facets including their working mechanisms, sustainability, life cycle assessment, and more.Readers will gain an expansive understanding and benefit from the discussion of various DLFCs. The contributors provide an overview of fuel cells, including their principles and role in global decarbonization, a discussion of DLFCs' sustainability and environmental impact, and a summary of the current state of knowledge on their different components, considering the importance of sustainable and low carbon emissions. They also address different liquids and their characteristics, such as methanol, ethanol, formic acid and dimethyl ether, and the applications for which each type are best used. Encountered challenges, system design, and commercialization considerations are also discussed, with the conclusion addressing the future outlook and perspectives on DLFCs. In addition to discussing the various types of liquid fuel cells and their respective benefits and drawbacks, contributors provide real-world examples of challenging issues and their respective solutions.This all-inclusive and cross-disciplinary resource is a vital guide for researchers and undergraduate and graduate students studying renewable energy, energy storage and conversion, and decarbonization towards Net Zero.
Functionalized Materials Applications in Biomedicine
This book offers an in-depth exploration of biomaterials with a primary focus on recent developments. It begins by providing a comprehensive background on the basic principles of biomaterials, followed by the synthesis, properties, and performance of various biomaterials. Subsequent chapters discuss topics such as biocompatibility, the interaction of biomaterials with the human body, and the role of biomaterials in regenerative medicine. It also addresses the technological advancements in biomaterials, novel fabrication methods, and surface modification techniques backed by case studies.Features: Presents the latest advancements in biomaterials, including novel fabrication methods, innovative materials, and groundbreaking applications in medical devices and regenerative medicine Offers a holistic view of the biomaterials field, bridging various disciplines such as biology, chemistry, materials science, and medicine Illustrates practical applications of biomaterials in tissue engineering, drug delivery systems, and medical imaging Delves into the ethical, regulatory, and commercial dimensions of biomaterials Includes detailed case studies on topics such as thermal properties, corrosion resistance, and industrial coatings This book is aimed at researchers and graduate students of bioengineering, biomaterials, and materials science.
Joint 20th Nordic-Baltic Conference on Biomedical Engineering & 24th Polish Conference on Biocybernetics and Biomedical Engineering
This book presents the latest achievements and current challenges in the broad field of biocybernetics and biomedical engineering. The contributions include original scientific research and well-elaborated reviews of significant scientific problems. Topics covered include biomedical signal and image processing, artificial intelligence in healthcare, biomaterials, nanotechnology, regenerative medicine, prosthetics, rehabilitation engineering, biomeasurements, biomedical sensors, and health technology assessment. The authors' findings are discussed in the context of the current state of the art, contributing to the ongoing dialogue and dissemination of knowledge within the global biomedical engineering community. Based on the Joint 20th Nordic-Baltic Conference on Biomedical Engineering and the 24th Polish Conference on Biocybernetics and Biomedical Engineering (NBC 2025 & PCBBE 2025), held on June 16-18, 2025, in Warsaw, Poland, this book serves as a timely reference for both academics and professionals in the field.
Image Analysis
The two-volume set 15725 and 15726 constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2025, held in Reykjavik, Iceland, during June 23-25, 2025.The 60 revised full papers presented in these proceedings were carefully reviewed and selected from 98 submissions. The papers are organized in the following topical sections: Part I: Machine learning and deep learning; Segmentation, Grouping, and Shape; Vision for robotics and autonomous vehicles; Biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; and Vision applications and systems.Part II: Datasets and evaluation; Image and video processing, analysis, and understanding; Detection, recognition, classification, and localization in 2D and/or 3D; Medical, biological, and cell microscopy; Explainable AI for CV; Vision + language (+ other modalities); Computational photography; Fairness; and Low-level and physics-based vision.
Image Analysis
The two-volume set 15725 and 15726 constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2025, held in Reykjavik, Iceland, during June 23-25, 2025.The 60 revised full papers presented in these proceedings were carefully reviewed and selected from 98 submissions. The papers are organized in the following topical sections: Part I: Machine learning and deep learning; Segmentation, Grouping, and Shape; Vision for robotics and autonomous vehicles; Biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; and Vision applications and systems.Part II: Datasets and evaluation; Image and video processing, analysis, and understanding; Detection, recognition, classification, and localization in 2D and/or 3D; Medical, biological, and cell microscopy; Explainable AI for CV; Vision + language (+ other modalities); Computational photography; Fairness; and Low-level and physics-based vision.
Coal Spontaneous Combustion Theory with Chain Self-Promoted Oxidizing Induced by Active Group
Motor Boats; a Thoroughly Scientific Discussion of Their Design, Construction and Operation
Motor Boats; a Thoroughly Scientific Discussion of Their Design, Construction and Operation
Report of the Royal Commission Appointed to Inquire Into the Water Supply of the Metropolis
Wireless Communications and Machine Learning
This focused textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications, providing students with a deep and insightful understanding of this emerging field. It introduces students to a broad array of ML tools for effective wireless system design, and supports them in exploring ways in which future wireless networks can be designed to enable more effective deployment of federated and distributed learning techniques to enable AI systems. Requiring no previous knowledge of ML, this accessible introduction includes over 20 worked examples demonstrating the use of theoretical principles to address real-world challenges, and over 100 end-of-chapter exercises to cement student understanding, including hands-on computational exercises using Python. Accompanied by code supplements and solutions for instructors, this is the ideal textbook for a single-semester senior undergraduate or graduate course for students in electrical engineering, and an invaluable reference for academic researchers and professional engineers in wireless communications.
