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Contributions of different experts to innovation projects improve enterprise value, captured in documents. A subset of them is the centre of expert constraint convergence. Their production needs to be tailored case by case. Documents are…

Other Computer Science · Computer Science 2012-10-09 Niek Du Preez , Nicolas Perry , Alexandre Candlot , Alain Bernard , Wilhelm Uys , Louis Louw

Data is a precious resource in today's society, and is generated at an unprecedented and constantly growing pace. The need to store, analyze, and make data promptly available to a multitude of users introduces formidable challenges in…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-08 Alessandro Margara , Gianpaolo Cugola , Nicolò Felicioni , Stefano Cilloni

The paper, based on authors' experience from several distributed systems integration projects, summarizes briefly practical designer's view on methodological requirements and overall system organization, including clues as to the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-04 Jerzy Mieścicki , Wiktor B. Daszczuk , Waldemar Grabski , Artur Krystosik

Innovation is to organizations what evolution is to organisms: it is how organisations adapt to changes in the environment and improve. Governments, institutions and firms that innovate are more likely to prosper and stand the test of time;…

Physics and Society · Physics 2018-02-07 T. M. A. Fink , M. Reeves , R. Palma , R. S. Farr

With the increased popularity of electronic textbooks, there is a growing interests in developing a new generation of "intelligent textbooks", which have the ability to guide the readers according to their learning goals and current…

Information Retrieval · Computer Science 2020-06-11 Mengdi Wang , Hung Chau , Khushboo Thaker , Peter Brusilovsky , Daqing He

Knowledge is considered an essential resource for organizations. For organizations to benefit from their possessed knowledge, knowledge needs to be managed effectively. Despite knowledge sharing and management being viewed as important by…

Computers and Society · Computer Science 2025-05-14 Kalle Koivisto , Toni Taipalus

Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in current real-world business applications cannot yet be solved by…

Artificial Intelligence · Computer Science 2021-05-10 Dominik Dellermann , Adrian Calma , Nikolaus Lipusch , Thorsten Weber , Sascha Weigel , Philipp Ebel

The future of innovation processes is anticipated to be more data-driven and empowered by the ubiquitous digitalization, increasing data accessibility and rapid advances in machine learning, artificial intelligence, and computing…

Computers and Society · Computer Science 2022-07-08 Jianxi Luo

In advanced manufacturing, the incorporation of sensing technology provides an opportunity to achieve efficient in-situ process monitoring using machine learning methods. Meanwhile, the advances of information technologies also enable a…

Machine Learning · Computer Science 2023-07-27 Zhangyue Shi , Yuxuan Li , Chenang Liu

With the evolution of process approaches within organizations, the increasing importance of quality management systems (like ISO 9001) and the recent introduction of ISO 30401 for knowledge management, we examine how these different…

Digital Libraries · Computer Science 2025-07-25 Patrick Prieur , Aline Belloni

Global food systems must deliver nutritious, sustainable foods while sharply reducing environmental impact. Yet, food innovation remains slow, empirical, and fragmented. Artificial intelligence (AI) offers a transformative path to link…

This paper describes an information system designed to support the large volume of monitoring information generated by a distributed testbed. This monitoring information is produced by several subsystems and consists of status and…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-12-13 Warren Smith , Shava Smallen

In today s dynamic marketplace, manufacturing companies are under strong pressure to introduce new products for long-term survival with their competitors. Nevertheless, every company cannot cope up progressively or immediately with the…

Other Computer Science · Computer Science 2012-10-30 Nader Ale Ebrahim , Shamsuddin Ahmed , Zahari Taha

Actual organizations, in particular the ones which operate in evolving and distributed environments, need advanced frameworks for the management of the knowledge life cycle. These systems have to be based on the social relations which…

General Physics · Physics 2010-04-26 Luigi Lella , Ignazio Licata

There is a resurging interest in automation because of rapid progress of machine learning and AI. In our perspective, innovation is not an exemption from their expansion. This situation gives us an opportunity to reflect on a direction of…

General Economics · Economics 2021-03-04 Piotr Tomasz Makowski , Yuya Kajikawa

Can we move beyond simply networking creative individuals to establishing diverse communities of practice for innovation through discursive methods. Furthermore, can we digitise their creativity activities within an integrative…

Computers and Society · Computer Science 2015-02-19 Gerard Briscoe , Joseph Lockwood

This paper proposes a systematic framework to design a classification model that yields a classifier which optimizes a utility function based on prior knowledge. Specifically, as the data size grows, we prove that the produced classifier…

Machine Learning · Statistics 2018-09-06 Shaohan Chen , Chuanhou Gao

The ability to synthesize information has emerged as a critical skill for success across various fields. However, within the field of education, there is a lack of systematic understanding and well-defined design infrastructures that…

Human-Computer Interaction · Computer Science 2023-07-12 Xinran Zhu , Hong Shui , Bodong Chen

Managing software development productivity and effort are key issues in software organizations. Identifying the most relevant factors influencing project performance is essential for implementing business strategies by selecting and…

Software Engineering · Computer Science 2014-01-22 Adam Trendowicz , Michael Ochs , Axel Wickenkamp , Jürgen Münch , Yasushi Ishigai , Takashi Kawaguchi

The increasing availability of data and advancements in computational intelligence have accelerated the adoption of data-driven methods (DDMs) in product development. However, their integration into product development remains fragmented.…

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