The three-volume set LNICST 624, 625, 626 constitutes the refereed proceedings of the 20th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2024, held in Wuzhen, China, during November 14–17, 2024.
This book contains extended versions of the works and new research results presented at the 15th International Conference on Artificial Intelligence-empowered Software Engineering (AIESE2024, formerly Joint Conference on Knowledge-based Software Engineering, JCKBSE), University of Piraeus, August 27–30, 2024, Greece.
The three-volume set LNICST 624, 625, 626 constitutes the refereed proceedings of the 20th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2024, held in Wuzhen, China, during November 14–17, 2024.
In this comprehensive reference work for researchers, engineers, and students, Kawahara provides a one-stop exploration of next-generation computing at the LSI circuit level, with a focus on the integration of AI, advanced LSI design, Ising machines, and memory innovations.
This book aims to provide a comprehensive exploration of the integration of machine learning and deep learning algorithms into the field of autonomous vehicles and advanced driver assistance systems.
This book lays a systematic foundation for professionals, researchers, and industry readers who are interested the applications and implications of generative AI for cybersecurity.
This volume contains the lecture notes of the five coursesand one seminar given at the School on Engineering Trustworthy Software Systems(SETSS 2014), held in September 2014 at Southwest University in Chongqing,China.
In this comprehensive reference work for researchers, engineers, and students, Kawahara provides a one-stop exploration of next-generation computing at the LSI circuit level, with a focus on the integration of AI, advanced LSI design, Ising machines, and memory innovations.
The convergence of End-User Development (EUD) and Generative Artificial Intelligence (GenAI) ushers in a transformative era in which creators and consumers are no longer sharply divided, and users are empowered to innovate as never before.
This book discovers peer-reviewed research from an international research conference that unites experts in software engineering, data science, artificial intelligence, cybernetics, and informatics.
This book discovers peer-reviewed research from an international research conference that unites experts in software engineering, data science, artificial intelligence, cybernetics, and informatics.
This book bridges theory and practice in modern computing, showcasing the latest research in systems design, software engineering, and innovative problem-solving.
This book constitutes the refereed proceedings of the tracks and workshops which complemented the 19th European Conference on Software Architecture, ECSA 2025, held in Limassol, Cyprus, during September 15–19, 2025.
This volume constitutes the revised selected papers of 12th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2024, in Rome, Italy, during February 21–23, 2024.
This book bridges theory and practice in modern computing, showcasing the latest research in systems design, software engineering, and innovative problem-solving.
This volume constitutes the papers of two workshops which were held in conjunction with the 22nd International Workshop on Software Engineering and Formal Methods, SEFM 2024 Collocated Workshops, held in Aveiro, Portugal, during November 4-5, 2024.
This book constitutes the refereed proceedings of the tracks and workshops which complemented the 19th European Conference on Software Architecture, ECSA 2025, held in Limassol, Cyprus, during September 15–19, 2025.
This book constitutes the proceedings of the 24th International Conference on Perspectives in Business Informatics Research, BIR 2025, which took place in Riga, Latvia, in September 2025.
This volume constitutes the revised selected papers of 12th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2024, in Rome, Italy, during February 21–23, 2024.
This book constitutes the proceedings of the 24th International Conference on Perspectives in Business Informatics Research, BIR 2025, which took place in Riga, Latvia, in September 2025.
This volume constitutes the papers of two workshops which were held in conjunction with the 22nd International Workshop on Software Engineering and Formal Methods, SEFM 2024 Collocated Workshops, held in Aveiro, Portugal, during November 4-5, 2024.
The book showcases the forefront of artificial intelligence with an in-depth examination of cutting-edge advancements, with technologies such as deep learning, neural networks, transfer learning, human-artificial intelligence collaboration, and sentiment analysis.
This book comprehensively discusses the latest trends and developments in healthcare applications, including artificial intelligence, the Internet of Things, machine learning algorithms, deep learning algorithms, and 5G technology.
This book addresses the need for users to understand the internal workings of GPenSIM's functions, including their design and how they can be extended to model and analyze scenarios that were previously not possible.
This book addresses the need for users to understand the internal workings of GPenSIM's functions, including their design and how they can be extended to model and analyze scenarios that were previously not possible.
This book comprehensively discusses the latest trends and developments in healthcare applications, including artificial intelligence, the Internet of Things, machine learning algorithms, deep learning algorithms, and 5G technology.
The book showcases the forefront of artificial intelligence with an in-depth examination of cutting-edge advancements, with technologies such as deep learning, neural networks, transfer learning, human-artificial intelligence collaboration, and sentiment analysis.
This book is a comprehensive guide to exploratory data analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration.