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Knowledge Based Software Engineering 2018


Knowledge Based Software Engineering 2018
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Knowledge Based Software Engineering 2018


Knowledge Based Software Engineering 2018
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Author : Maria Virvou
language : en
Publisher: Springer
Release Date : 2018-08-03

Knowledge Based Software Engineering 2018 written by Maria Virvou and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-03 with Technology & Engineering categories.


This book summarizes the new research results presented at the 12th Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2018), which took place on August 27–30, 2018 on the island of Corfu, Greece. The JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence in Software Engineering. The JCKBSE 2018 was organized by the Department of Informatics of the University of Piraeus, the Department of Computer and Information Engineering of Nippon Institute of Technology, and the Department of Informatics of Ionian University. The book will benefit not only experts and researchers in the field of (Knowledge-Based) Software Engineering, but also general readers in the fields of Artificial Intelligence, Computational Intelligence and Computer Science who wish to learn more about the field of (Knowledge-Based) Software Engineering and its applications. An extensive list of bibliographic references at the end of each paper encourages readers to probe further into the application areas that interest them most.



Knowledge Based Software Engineering 2022


Knowledge Based Software Engineering 2022
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Author : Maria Virvou
language : en
Publisher: Springer Nature
Release Date : 2023-02-17

Knowledge Based Software Engineering 2022 written by Maria Virvou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Technology & Engineering categories.


This book contains extended versions of the works and new research results presented at the 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022). JCKBSE2022 was originally planned to take place in Larnaca, Cyprus. Unfortunately, the COVID-19 pandemic forced it to be rescheduled as an online conference. JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence on Software Engineering. The 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022) was organized by the Department of Informatics of the University of Piraeus, Greece. This book is a valuable resource for experts and researchers in the field of (knowledge-based) software engineering. It is also valuable to general readers in the fields of artificial and computational intelligence and, more generally, computer science, wishing to learn more about the exciting field of (knowledge-based) software engineering and its applications. An extensive list of bibliographic references at the end of each chapter helps readers to probe deeper into the application areas of interest to them.



Knowledge Based Software Engineering 2020


Knowledge Based Software Engineering 2020
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Author : Maria Virvou
language : en
Publisher: Springer Nature
Release Date : 2020-07-24

Knowledge Based Software Engineering 2020 written by Maria Virvou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-24 with Computers categories.


This book summarizes the research findings presented at the 13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), which took place on August 24–26, 2020. JCKBSE 2020 was originally planned to take place in Larnaca, Cyprus. Unfortunately, the COVID-19 pandemic forced it be rescheduled as an online conference. JCKBSE is a well-established, international, biennial conference that focuses on the applications of artificial intelligence in software engineering. The 2020 edition of the conference was organized by Hiroyuki Nakagawa, Graduate School of Information Science and Technology, Osaka University, Japan, and George A. Tsihrintzis and Maria Virvou, Department of Informatics, University of Piraeus, Greece. This research book is a valuable resource for experts and researchers in the field of (knowledge-based) software engineering, as well as general readers in the fields of artificial and computational Intelligence and, more generally, computer science wanting to learn more about the field of (knowledge-based) software engineering and its applications. An extensive list of bibliographic references at the end of each paper helps readers to probe further into the application areas of interest to them.



Knowledge Management In The Development Of Data Intensive Systems


Knowledge Management In The Development Of Data Intensive Systems
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Author : Ivan Mistrik
language : en
Publisher: CRC Press
Release Date : 2021-06-15

Knowledge Management In The Development Of Data Intensive Systems written by Ivan Mistrik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.


Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.



Software Engineering Methods Design And Application


Software Engineering Methods Design And Application
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Author : Radek Silhavy
language : en
Publisher: Springer Nature
Release Date : 2024-10-22

Software Engineering Methods Design And Application written by Radek Silhavy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Computers categories.


This book dives into contemporary research methodologies, emphasising the innovative use of machine learning and statistical techniques in software engineering. Exploring software engineering and its integration into system engineering is pivotal in advancing computer science research. It features the carefully reviewed proceedings of the Software Engineering Research in System Science session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024.



Synergies Between Knowledge Engineering And Software Engineering


Synergies Between Knowledge Engineering And Software Engineering
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Author : Grzegorz J. Nalepa
language : en
Publisher: Springer
Release Date : 2017-09-15

Synergies Between Knowledge Engineering And Software Engineering written by Grzegorz J. Nalepa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-15 with Technology & Engineering categories.


This book compiles a number of contributions originating from the KESE (Knowledge Engineering and Software Engineering) workshop series from 2005 to 2015. The idea behind the series was the realignment of the knowledge engineering discipline and its strong relation to software engineering, as well as to the classical aspects of artificial intelligence research. The book introduces symbiotic work combining these disciplines, such as aspect-oriented and agile engineering, using anti-patterns, and system refinement. Furthermore, it presents successful applications from different areas that were created by combining techniques from both areas.



Handbook Of Research On Ai Methods And Applications In Computer Engineering


Handbook Of Research On Ai Methods And Applications In Computer Engineering
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Author : Kaddoura, Sanaa
language : en
Publisher: IGI Global
Release Date : 2023-01-30

Handbook Of Research On Ai Methods And Applications In Computer Engineering written by Kaddoura, Sanaa and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-30 with Computers categories.


The development of artificial intelligence (AI) involves the creation of computer systems that can do activities that would ordinarily require human intelligence, such as visual perception, speech recognition, decision making, and language translation. Through increasingly complex programming approaches, it has been transforming and advancing the discipline of computer science. The Handbook of Research on AI Methods and Applications in Computer Engineering illuminates how today’s computer engineers and scientists can use AI in real-world applications. It focuses on a few current and emergent AI applications, allowing a more in-depth discussion of each topic. Covering topics such as biomedical research applications, navigation systems, and search engines, this premier reference source is an excellent resource for computer scientists, computer engineers, IT managers, students and educators of higher education, librarians, researchers, and academicians.



Novelties In Intelligent Digital Systems


Novelties In Intelligent Digital Systems
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Author : C. Frasson
language : en
Publisher: IOS Press
Release Date : 2021-10-15

Novelties In Intelligent Digital Systems written by C. Frasson and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-15 with Computers categories.


Artificial intelligence and intelligent digital systems have become indispensible to many areas of modern life. This book presents the proceedings of the 1st International Conference on Novelties in Intelligent Digital Systems (NIDS2021), held in Athens, Greece, from 30 September to 1 October 2021. The conference took place as a virtual event due to COVID-19 restrictions. The NIDS conference lays special emphasis on the novelties of intelligent systems and on the interdisciplinary research which enables, supports, and enhances Artificial Intelligence (AI) in software development. It promotes high-quality research, creating a forum for the exploration of challenges and new advances in AI, and addresses experts, researchers and scholars in the fields of artificial and computational intelligence in systems and in computer sciences in general, enabling them to learn more about pertinent, strongly related and mutually complementary fields. The conference promotes an exchange of ideas, reinforcing and expanding the network of researchers, academics, and market representatives. The 30 accepted papers included here have each been reviewed rigorously by two or three reviewers through a double-blind process which reflects the commitment of the IIS academic community to make NIDS a top-flight, selective and high-quality conference. They are grouped in 6 sections, and cover the topics of Learning; Extended Reality; Data Mining and Machine Learning; Health and Environment; Brain Assessment and Reasoning; and Computer Vision Describing some very significant research and reflecting many interesting new ideas, the book will be of interest to all those working in the field.



Artificial Intelligence Based Games As Novel Holistic Educational Environments To Teach 21st Century Skills


Artificial Intelligence Based Games As Novel Holistic Educational Environments To Teach 21st Century Skills
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Author : Spyros Papadimitriou
language : en
Publisher: Springer Nature
Release Date : 2025-01-20

Artificial Intelligence Based Games As Novel Holistic Educational Environments To Teach 21st Century Skills written by Spyros Papadimitriou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-20 with Computers categories.


This book offers a visionary look at how AI can promote learning for modern skillsets by examining the fusion of AI, prosocial gaming, personalisation, ethics, and education. The book introduces the EPATHLO Suite, a novel AI platform that personalises both educational content and gameplay, creating tailor-made learning experiences and entertainment for each student. By blending personalised games with education, these AI-driven environments make learning more dynamic and enjoyable, while focusing on prosocial behaviour development, encouraging cooperation, empathy, and ethical understanding. It also provides roles for human teachers, as content creators of the EPATHLO Suite authoring tool. The book highlights the importance of twenty-first-century skills—such as critical thinking, collaboration, communication, and creativity—while also addressing ethical issues like data privacy (including GDPR compliance). It provides practical AI-driven solutions and reviews relevant literature, offering a comprehensive understanding of these interconnected fields. This book is an indispensable resource for those looking to explore these state-of-the-art topics. It is ideal for academics, researchers, students, educators, game designers, programmers, and professionals in the educational gaming industry who want to understand AI's role in shaping the future of education with games. Whether readers aim to enhance their classroom, develop new learning technologies, or better grasp the evolving technology of educational games with AI, this book offers valuable knowledge and practical tools for success.



Knowledge Science Engineering And Management


Knowledge Science Engineering And Management
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Author : Christos Douligeris
language : en
Publisher: Springer Nature
Release Date : 2019-08-20

Knowledge Science Engineering And Management written by Christos Douligeris and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-20 with Computers categories.


This two-volume set of LNAI 11775 and LNAI 11776 constitutes the refereed proceedings of the 12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019. The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical sections: Formal Reasoning and Ontologies; Recommendation Algorithms and Systems; Social Knowledge Analysis and Management ; Data Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge Engineering Applications. The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning.