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Abstract: Domain-specific modelling languages defined by extending or constraining the Unified Modeling Language (UML) through the profiling mechanism have historically relied on graphical notations to maximise human understanding and facilitate communication among stakeholders. Other notations, such as text, form, or table-based are, however, often preferred for specific modelling purposes, due to the nature of...
Abstract: The CMER 2018 and CEMR 2019 respectively held in Guangzhou and Xi’an were brought to a successful close. In order to deepen the research on the area of chemistry and energy for scholars and expertise, we decided that the name of the conference is officially changed to The 3rd International Conference on Chemistry and Energy Research (ICCER2020). With the experience of running successful events ove...
Abstract: The rapid development of Industry 4.0 and Industrial Cyber-Physical Systems is leading to the exponential growth of unprocessed volumes of data. Industrial cloud computing has great potential for providing the resources for processing this data. To be widely adopted, the cloud must ensure satisfactory levels of Quality of Service (QoS). However, the lack of a standardized model of quality attribut...
Abstract: Context: With the advent of Machine Learning (ML) and especially Deep Learning (DL) technology, companies are increasingly using Artificial Intelligence (AI) in systems, along with electronics and software. Nevertheless, the end-to-end process of developing, deploying and evolving ML and DL models in companies brings some challenges related to the design and scaling of these models. For example, a...
Abstract: We are very happy to present extensions of five of the best papers included in the proceedings of the First IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) 2020. While ACSOS 2020 may have been the first of its kind, it builds on the longstanding traditions of its predecessor conferences SASO (IEEE International Conference on SelfAdaptive and Self-Organising...
Abstract: Contrary to common belief, our preferences do not only shape our decisions but are also shaped by what decisions we make. This effect, known as choice-induced preference change, has been extensively studied in individuals. Here we document choice-induced preference change in groups. We do so by using the choice-blindness paradigm, a method by which participants are given false feedback about their...
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