This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions.
This volume on visual commonsense reasoning, part of a comprehensive three-volume series, presents a computational framework for bridging the gap between modern computer vision capabilities and human-like visual understanding.
The book presents key aspects of energy, robotics, automation and control, with particular emphasis on modern control methods based on artificial intelligence, energy issues and human-centered systems.
This book explores research around reciprocal participation in care activities across a variety of everyday settings from the perspective of HCI researchers.
This book comprises peer-reviewed papers selected for presentation and discussion at the 20th Iberian Conference on Information Systems and Technologies (CISTI'2025), held from June 16 to 19, 2025, at ISEG—Lisbon School of Economics and Management, University of Lisbon, Portugal.
The book presents key aspects of energy, robotics, automation and control, with particular emphasis on modern control methods based on artificial intelligence, energy issues and human-centered systems.
As organizations strive to balance innovation with accountability, this second volume in a trilogy on fuzzy systems and digital ethics examines how ethical and sustainable practices can be operationalized at the institutional level.
This book offers a comprehensive exploration of the dynamics modeling and maneuvering analysis of autonomous underwater vehicles (AUVs), integrating both theoretical concepts,numerical simulations and practical applications.
This book offers a forward-looking perspective on the convergence of artificial intelligence (AI) and biotechnology, and its transformative impact on synthetic biology.
This book discusses how Artificial Intelligence (AI) and Internet of Things (IoT) technologies can be utilized to optimize orchard production, management, and conservation to achieve sustainable agriculture development goals.
This book explores how AI Economics, innovation systems and policies, data cooperatives, and data sovereignty are redefining democracy, governance, and economic life in datafied societies.
This three-volume set, CCIS 2637-2639 , constitutes the refereed proceedings of the 7th International Conference on Blockchain and Trustworthy Systems, BlockSys 2025, held in Zhuhai, China, during May 30–31, 2025.
This book comprises a selection of articles from the 13th World Conference on Information Systems and Technologies (WorldCIST’25), held from April 15 to 17, 2025, at the Federal University of Santa Catarina, Florianópolis, Brazil.
This contributed volume details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions.
Fuzzy Logic Approaches to Sustainable Virtual Worlds explores how computational intelligence can shape digital societies through sustainability-driven design.
This book discusses how Artificial Intelligence (AI) and Internet of Things (IoT) technologies can be utilized to optimize orchard production, management, and conservation to achieve sustainable agriculture development goals.
This book provides a practical end-to-end approach to open source technology in biomedical engineering, covering topics that range from hardware and software design to data acquisition, processing tools, and cloud-based storage.
Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management.
This three-volume set, CCIS 2637-2639 , constitutes the refereed proceedings of the 7th International Conference on Blockchain and Trustworthy Systems, BlockSys 2025, held in Zhuhai, China, during May 30–31, 2025.
This book discusses the fascinating world of data science and cases in sustainability focusing on topics related to pattern recognition and machine learning, emphasizing applications that directly address topics related to SDG 9 (Industry, Innovation and Infrastructure).
Intelligent technical systems process information from multiple sources, but are confronted with uncertainties inherent in the information which is often imprecise, incomplete, or inconsistent.
Discover the cutting-edge advancements in visual object tracking (VOT) with this comprehensive resource, designed to revolutionize how researchers and professionals approach tracking systems.
This book is timely as it explores the double-edged nature of disruptive technologies in providing both challenges and opportunities for businesses in the age of digital transformation.
This book provides a comprehensive guide for integrating machine learning techniques to enhance power electronic systems, with a focus on real-time applications, fault detection, and advanced control systems.
Robotic vision represents the cutting edge of modern computing, combining artificial intelligence, deep learning, and advanced robotics to enable intelligent machines.
This book offers a critical re-examination of cultural design, highlighting the distinct cognitive framework for problem-solving that emerges from culturally specific practices, knowledge systems, and evaluative mechanisms.
This book takes you deep into the heart of the challenges and opportunities presented by the rapid evolution of Artificial Intelligence (AI) technologies.
This monograph focuses on the development of diagnostic procedures for diseases related to retinal nerve conditions using features of waveforms of pupillary light reflex (PLR).
Discover the cutting-edge advancements in visual object tracking (VOT) with this comprehensive resource, designed to revolutionize how researchers and professionals approach tracking systems.
Artificial Intelligence in Civil Engineering: Recent Advances provides a comprehensive overview of the latest developments in applying artificial intelligence (AI) techniques to solve complex civil engineering problems.
This book systematically researches crucial scientific issues such as high integration, high computational capacity, and large-scale expansion of computing units in silicon-based integrated diffractive optical neural networks (DONNs).
This book comprises peer-reviewed papers selected for presentation and discussion at the 20th Iberian Conference on Information Systems and Technologies (CISTI'2025), held from June 16 to 19, 2025, at ISEG—Lisbon School of Economics and Management, University of Lisbon, Portugal.
This book focuses on the integration of Artificial Intelligence (AI) technology for securing IoT next systems, exploring a comprehensive collection of recent techniques and strategies aimed at protecting these complex networks.
This book offers a scholarly examination of innovative biometric recognition technologies, focusing on palmprint, finger-knuckle-print, palm-vein, dorsal-hand-vein, and multi-modal hand-based recognition systems.
This book gathers the peer-reviewed papers presented at the 19th Iberian Conference on Information Systems and Technologies (CISTI’2024), held at the University of Salamanca, Spain, from June 25 to 28, 2024.
Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities.
This book emphasizes the need for harmonized policies and adaptive strategies that can address the complexities of local, national, and global systems simultaneously.
The scientific exchange between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scientific results.
