Artificial Intelligence Applications and Innovations. Aiai 2025 Ifip Wg 12.5 International Workshops
This 2-volume set constitutes the refereed proceedings of International Workshops, held as parallel events of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, held in Limassol, Cyprus, during June 26-29, 2025. The 44 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 117 submissions. The AIAI 2025 conference hosts several workshops that support innovative research on various specific and hot scientific domains every year. These satellite events offer a deep insight into both rapid advances and timely creative applications of AI.
Probing the Past with Data Analytics and AI
This comprehensive compendium explains the technical challenges and opportunities behind the most recent and successful applications in artificial intelligence [AI] and data analytics. It focuses on applications that have the power to be adapted to many different fields and explains how AI can be implemented as an assistant in digital humanities. It also introduces new methods and applications in classification trees, networks, and Bayesian learning.The useful reference text benefits professionals, academics, researchers, and graduate students in AI/machine learning, neural networks, and bioinformatics, and digital humanities.
Gender and Diversity Policy in AI
This unique compendium explores the crucial role of inclusivity in the development, deployment, and governance of artificial intelligence systems. It addresses the growing ethical and social concerns surrounding the lack of representation in AI, emphasizing how gender and diversity are integral to creating fair, responsible, and innovative technologies.The book delves into the ethical, social, and economic benefits of promoting diversity in AI teams and research. Covering a wide range of topics, from data biases to global policy frameworks, and through case studies and real-world examples, it illustrates both the successes and challenges in achieving gender and diversity in the field.This useful reference text is designed for academics, AI professionals, policymakers, and corporate leaders of machine learning and AI, and innovation and technology.
Artificial Intelligence Applications and Innovations. Aiai 2025 Ifip Wg 12.5 International Workshops
This 2-volume set constitutes the refereed proceedings of International Workshops, held as parallel events of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, held in Limassol, Cyprus, during June 26-29, 2025. The 44 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 117 submissions. The AIAI 2025 conference hosts several workshops that support innovative research on various specific and hot scientific domains every year. These satellite events offer a deep insight into both rapid advances and timely creative applications of AI.
Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development
The Asia-Pacific region, home to some of the world's fastest-growing economies, faces a range of complex challenges, including environmental degradation, the increasing frequency of natural hazards, and rapid urbanization. Addressing these issues, which many countries across the globe are facing, requires innovative, interdisciplinary approaches to promote sustainable development and enhance resilience. Geographic information systems (GIS), when combined with multi-criteria decision-making (MCDM) techniques and advanced technologies such as artificial intelligence (AI), offer powerful tools to tackle these multifaceted problems. AIGIS integrates AI with GIS to derive insights from geospatial data. The fusion of AI techniques with GIS enhances data analysis, visualization, and decision-making. Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development explore how these integrated tools can support decision-making processes aimed at advancing sustainable development.Drawing on research and insights from diverse disciplines, the book looks at how GIS, MCDM, and AI can provide solutions for disaster risk reduction, environmental monitoring, urban planning, and natural resource management. Through diverse case studies and theoretical explorations, this book highlights the value of integrated geospatial tools in facilitating informed decision-making and fostering resilient societies in the face of evolving challenges. It covers a wide range of topics, including the following: Site-soil-geology assessments in Fiji Flood risk analysis in Hong Kong. Air quality management in Delhi during the COVID-19 pandemic Vegetation health monitoring in Thailand Bringing together the work of academicians, practitioners, and decision-makers, the book reflects the growing recognition towards effective and sustainable solutions to complex problems, which require a multidimensional approach, integrating scientific, economic, and social considerations. By providing the latest research and practical applications of MCDM, AI, and GIS, it contributes to ongoing efforts to build a more sustainable and resilient future for the Asia-Pacific region, as well as for the world.
Neural Information Processing
The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.
Neural Information Processing
The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Emacs Writing Studio. A Practical Guide to Plain Text Writing and Publishing
Engineering Applications of Neural Networks
The two-volume set CCIS 2581 and 2582 constitutes the refereed proceedings of the 26th International Conference on Engineering Applications of Neural Networks, EANN 2025, held in Limassol, Cyprus during June 26-29, 2025. The 41 full papers included in these proceedings were carefully reviewed and selected from 101 submissions. These papers demonstrate the vitality of Artificial Intelligence algorithms and approaches, as well as AI applications.
Engineering Applications of Neural Networks
The two-volume set CCIS 2581 and 2582 constitutes the refereed proceedings of the 26th International Conference on Engineering Applications of Neural Networks, EANN 2025, held in Limassol, Cyprus during June 26-29, 2025. The 41 full papers included in these proceedings were carefully reviewed and selected from 101 submissions. These papers demonstrate the vitality of Artificial Intelligence algorithms and approaches, as well as AI applications.
Artificial Intelligence Applications and Innovations
This four-volume set constitutes the proceedings of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, which was held in Limassol, Cyprus, during June 2025. The 123 full papers and 7 short papers were presented in this volume were carefully reviewed and selected from 303 submissions. They focus on ethical-moral AI aspects related to its Environmental impact, Privacy, Transparency, Bias, Discrimination and Fairness.
Gpt for Python-Coding in Computational Materials Science and Mechanics
Functional Imaging and Modeling of the Heart
This two-volume set, LNCS 15672 and LNCS 15673, constitutes the refereed proceedings of the 13th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2025, held in Dallas, Texas, USA, during June 2-4, 2025. The 79 full papers presented in this book were carefully reviewed and selected from 93 submissions. These papers have been organized in the following topical sections: - Part I: Models for Electrophysiology, Arrhythmia and Their Sequalae; Biomechanics and Assessment of Cardiovascular Health; Model-Enhanced Data Acquisition and Processing. Part II: Multiscale & Multimodality Imaging; Image Processing and Visualization; Clinical Translations of Computational Modeling across Medical Specialties.
Functional Imaging and Modeling of the Heart
This two-volume set, LNCS 15672 and LNCS 15673, constitutes the refereed proceedings of the 13th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2025, held in Dallas, Texas, USA, during June 2-4, 2025. The 79 full papers presented in this book were carefully reviewed and selected from 93 submissions. These papers have been organized in the following topical sections: - Part I: Models for Electrophysiology, Arrhythmia and Their Sequalae; Biomechanics and Assessment of Cardiovascular Health; Model-Enhanced Data Acquisition and Processing. Part II: Multiscale & Multimodality Imaging; Image Processing and Visualization; Clinical Translations of Computational Modeling across Medical Specialties.
Advances in Knowledge Discovery and Data Mining
The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10-13, 2025. The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM track. 68 papers have been transferred to the4 DSFA special session. The papers have been organized in topical sections as follows: Part I: Anomaly Detection; Business Data Analysis; Clustering; Continual Learning; Contrastive Learning; Data Processing for Learning; Part II: Fairness and Interpretability; Federated Learning; Graph Mining and GNN; Learning on Scientific Data; Part III: Machine Learning; Multi-modality; OOD and Optimization; Recommender Systems; Representation Learning and Generative AI; Part IV: Security and Privacy; Temporal Learning; Survey; Part V: LLM Fine-tuning and Prompt Engineering; Fairness and Interpretability of LLMs; LLM Application; OOD and Optimization of LLMs.
Information Technology in Biomedicine
This book presents 10th International Conference Information Technologies in Biomedicine and shows research on Information Technologies in Medicine. The aim of this issue is to address the requirements for innovative technologies in computer-aided diagnosis and therapy and to indicate new areas of research, including the integration of multimodal data implemented in various fields of medical diagnostics. Fast and reliable data processing techniques able to deliver results in a user-friendly manner are discussed in three sections. First, the AI and Image Analysis Applications in Medicine section features AI-driven studies for image processing, including comparisons of deep learning models for nuclear detection and segmentation, and optimal scanning settings for biological samples. It also covers the importance of multimodal imaging analysis in radiological studies and chronic wound treatment. Then, Biomedical Signal Processing section investigates the effect of music on brain activity through EEG signal analysis. Artificial intelligence-assisted speech diagnostics in children focuses on sound segmentation and speech disorder detection. The effect of electronic cigarettes is tested by comparing the ECG of smokers and the control group. Finally, Modeling, Simulation, and Therapy Support section presents technologies in patient care, including telemedicine for rehabilitation, analysis of neurodegenerative diseases, and therapeutic applications of music. Models for supporting chronic wound treatment and amblyopia therapy are described. This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.
Multi-Agent Systems
This book constitutes the refereed proceedings of the 21st European Conference on Multi-Agent Systems, EUMAS 2024, which took place in Dublin, Ireland, on August 26, 2024. The 24 full papers and 1 short paper included in this book were carefully reviewed and selected from 36 submissions. They were organized in topical sections as follows: Multi-Agent Based Simulation; Multi-Agent Learning; Knowledge Representation, Reasoning and Planning; Human-Agent Interaction; Coordination, Organisations, Institutions, Norms andEthics; and Engineering Multi-Agent Systems.
Intelligent and Efficient Video Moment Localization
This book provides a comprehensive exploration of video moment localization, a rapidly emerging research field focused on enabling precise retrieval of specific moments within untrimmed, unsegmented videos. With the rapid growth of digital content and the rise of video-sharing platforms, users face significant challenges when searching for particular content across vast video archives. This book addresses how video moment localization uses natural language queries to bridge the gap between video content and semantic understanding, offering an intuitive solution for locating specific moments across diverse domains like surveillance, education, and entertainment. This book explores the latest advancements in video moment localization, addressing key issues such as accuracy, efficiency, and scalability. It presents innovative techniques for contextual understanding and cross-modal semantic alignment, including attention mechanisms and dynamic query decomposition. Additionally, the book discusses solutions for enhancing computational efficiency and scalability, such as semantic pruning and efficient hashing, while introducing frameworks for better integration between visual and textual data. It also examines weakly-supervised learning approaches to reduce annotation costs without sacrificing performance. Finally, the book covers real-world applications and offers insights into future research directions.
ChatGPT
ChatGPT: Principles and Architecture bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to effectively leverage these technologies in their respective fields. In addition, it tackles the complexity of understanding large language models and their practical applications by demystifying underlying technologies and strategies used in developing ChatGPT and similar models. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, thus paving the way for innovative applications and solutions in their professional domains. Sections focus on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. It is ideal for the needs of industry professionals, researchers, and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies.
Introduction to Digital Human Modeling
Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive resource on digital human modeling for beginners and researchers. The content includes step-by-step procedures for building a digital human model, fundamental human kinematics and dynamics, advanced topics such as motion prediction and injury prevention, and industrial applications. The book covers theoretical concepts and experimental validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, muscle fatigue model, and injury analysis. It teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and utilize simulations and experiments to study worker injuries. Furthermore, the book introduces both fundamental and advanced digital human modeling methods and optimization techniques aimed at improving performance and preventing injuries in manual material handling, as well as addressing lifting and gait biomechanics and ergonomics.
Virtual, Augmented and Mixed Reality
This three-volume set, LNCS 15788-15790, constitutes the refereed proceedings of the 17th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2025, held as part of the 27th International Conference on Human-Computer Interaction, HCII 2025, in Gothenburg, Sweden, during June 22-27, 2025. The total of 1430 papers and 355 posters included in the HCII 2025 proceedings were carefully reviewed and selected from 7972 submissions. The papers presented in these three volumes are organized in the following topical sections:: Part I: Designing and Developing Virtual Environments; UX in Virtual Environments Part II: VR, Culture, Art and Entertainment; Social Interaction and Wellbeing in Virtual Environments Part III: VR Games; Virtual Environments for Learning, Training and Professional Development; Multimodal Interaction in Virtual Environments
Advances in Knowledge Discovery and Data Mining
The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10-13, 2025. The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM track. 68 papers have been transferred to the4 DSFA special session. The papers have been organized in topical sections as follows: Part I: Anomaly Detection; Business Data Analysis; Clustering; Continual Learning; Contrastive Learning; Data Processing for Learning; Part II: Fairness and Interpretability; Federated Learning; Graph Mining and GNN; Learning on Scientific Data; Part III: Machine Learning; Multi-modality; OOD and Optimization; Recommender Systems; Representation Learning and Generative AI; Part IV: Security and Privacy; Temporal Learning; Survey; Part V: LLM Fine-tuning and Prompt Engineering; Fairness and Interpretability of LLMs; LLM Application; OOD and Optimization of LLMs.
Knowledge Management in Organisations
The two volume set CCIS 2562 and 2563 constitutes the proceedings of the 19th International Conference on Knowledge management in Organizations, KMO 2025, Kota Kinabalu, Malaysia, held during August 2025. The 42 full papers presented in these proceedings were carefully reviewed and selected from 86 submissions. The papers are organized in the following topical sections: Volume I: Knowledge transfer & sharing; knowledge in business & organization; innovation & knowledge creation; KM and education; and KM process and model. Volume II: Information & knowledge management systems; AI, IT & new trends in KM; and healthcare.
Neural Information Processing
The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
Virtual and Augmented Reality Technology-Enhanced Learning
Human-Computer Creativity
This pioneering volume showcases how generative AI has evolved from a mere tool to a creative partner, transforming the boundaries of innovation and collaboration across various disciplines. With contributions from 53 global experts spanning 21 countries, this comprehensive resource explores the transformative impact of AI on education, art, and healthcare. It reveals how AI enhances learning experiences, fosters new artistic expressions, and revolutionises patient care and medical research. Organised into five thematic parts, the book offers a balanced mix of conceptual frameworks, case studies, and practical insights, providing readers with a thorough understanding of how human ingenuity and artificial intelligence intersect to solve problems, inspire creativity, and redefine industries. Whether you are an academic, practitioner, or inquisitive reader, this volume invites you to engage with the cutting-edge possibilities of generative AI and embrace the future of human-computer collaboration.
Argo CD: Up and Running
Learn how to manage Kubernetes clusters and application configurations with Argo CD, the easy-to-use open source GitOps engine. With this practical book, development teams will quickly gain a foundational understanding of Argo CD for deploying and managing containerized applications - without having to be a Kubernetes expert, and without needing full access to the Kubernetes system. With the adoption of Kubernetes, the ability to effectively manage platform configurations has become a paramount concern. Authors Andrew Block from Red Hat and Christian Hernandez from Akuity show you how to apply GitOps practices with Argo CD to manage one or even thousands of Kubernetes environments with confidence. You'll start with a basic understanding of the Argo CD technology and quickly learn how to achieve faster and more secure deployments. With this book, you will: Learn the basics of applying GitOps principles to your Kubernetes environments Use Argo CD to manage Kubernetes configurations as well as the applications you deploy to the platform Manage the configurations of a single Kubernetes cluster or thousands of clusters Deploy Kubernetes resources using tools such as Kustomize and Helm Understand the importance of managing sensitive material and resources
