This two-volume set LNCS 16169–16170 constitutes the refereed proceedings of the 23rd International Conference on Image Analysis and Processing, ICIAP 2025 Workshops, held in Rome, Italy, during September 15–19, 2025.
Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities.
This book presents a comprehensive exploration of the dynamical system approach in numerical linear algebra, with a special focus on computing generalized inverses, solving systems of linear equations, and addressing linear matrix equations.
This brief introduces the readers of predictive cheminformatics to the concept of cliffs in the structure-activity landscape, which may greatly affect the data set modelability and the quality of predictions, hence generating disappointment from the performance of Quantitative Structure-Activity Relationship (QSAR) models.
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).
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 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 takes you deep into the heart of the challenges and opportunities presented by the rapid evolution of Artificial Intelligence (AI) technologies.
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 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.
Quantum machine learning (QML) is revolutionizing artificial intelligence by leveraging the power of quantum computing to access previously unimaginable computational possibilities.
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.
This book explores the evolution of social network analysis and mining (SNAM), a field that originated in social and business communities but has expanded significantly in recent years.
This book explores the evolution of social network analysis and mining (SNAM), a field that originated in social and business communities but has expanded significantly in recent years.
This volume presents contemporary research in stochastic modeling, statistical inference and their applications, and collects peer-reviewed contributions presented at the 15th Workshop on Stochastic Models, Statistics and Their Applications, SMSA 2024, held in Delft, The Netherlands, March 13-15, 2024.
This volume presents contemporary research in stochastic modeling, statistical inference and their applications, and collects peer-reviewed contributions presented at the 15th Workshop on Stochastic Models, Statistics and Their Applications, SMSA 2024, held in Delft, The Netherlands, March 13-15, 2024.
This comprehensive book on Explainable Artificial Intelligence has been updated and expanded to reflect the latest advancements in the field of XAI, enriching the existing literature with new research, case studies, and practical techniques.
This textbook provides a detailed study of continuous and discrete time signals and systems, at a theoretical as well as a practical level, for undergraduate as well as graduate students.
This textbook provides a detailed study of continuous and discrete time signals and systems, at a theoretical as well as a practical level, for undergraduate as well as graduate students.
This book is considered as an essential medium to introduce the up-to-date findings, new level research, and developing fields in the area of technology and computing for First International Conference on Emerging Technologies and Computing Innovations (ICETCI-2025).
The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor.
The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor.
This book is considered as an essential medium to introduce the up-to-date findings, new level research, and developing fields in the area of technology and computing for First International Conference on Emerging Technologies and Computing Innovations (ICETCI-2025).
This comprehensive book on Explainable Artificial Intelligence has been updated and expanded to reflect the latest advancements in the field of XAI, enriching the existing literature with new research, case studies, and practical techniques.
This 6-volume set constitutes the proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.
This 6-volume set constitutes the proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.
The six-volume set constitutes the refereed proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.
The 6-volume set constitutes the refereed proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.
The 6-volume set constitutes the refereed proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.
The six-volume set constitutes the refereed proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.
The six-volume set constitutes the refereed proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.
The six-volume set constitutes the refereed proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.
The six-volume set constitutes the refereed proceedings of the 32nd International Conference on Neural Information Processing, ICONIP 2025, held in Okinawa, Japan, in November 2025.
