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Time series data are widely used and provide a wealth of information for countless applications. However, some applications are faced with a limited amount of data, or the data cannot be used due to confidentiality concerns. To overcome these obstacles, ...

Medical emergency logistics becomes a new research field in recent years. In this era when emergencies occur more frequently, it is of great significance to study medical emergency logistics. Taking a comprehensive research on the literature review of ...

The use of virtualization technologies has become widespread with the advent of cloud computing. The purpose of this study is to quantify the performance losses caused by all kind of virtualization/containerization configurations.

A benchmark suite ...

This research work proposes a novel approach for multi stage decision analysis (MSDA) using innovative concepts of cubic intuitionistic fuzzy set (CIFS) theory. The paper introduces CIF-technique for order preference by similarity to ideal solution (...

During the reform of the deep teaching model, students’ deep learning quality was affected and restricted by various factors. During the offline class learning process of students, the concentration of deep learning directly affects the quality of ...

In the context of big data and the Internet of Things, this article explores the impact of corporate patent quality on corporate performance through analysis of corporate patent quality. Starting from multiple influencing factors, measure the patent ...

As computing education expands to ''all'' students, so too must the assessment of computational learning. However, there are many challenges to designing and using computing assessments in a valid and reliable way. This is especially true with respect ...

This study examines the opportunity space for work-related crime from procurement to production in the Norwegian construction industry through the optic of sixteen measures. This study was initiated by literature review about work-related crime in ...

We revisit a well-established model for highly re-entrant semiconductor manufacturing systems, and analyze it in the setting of states, in- and outfluxes being Borel measures. This is motivated by the lack of optimal solutions in the $L^1$-setting for ...

Graphical User Interfaces are the most common way of interaction with the devices we use in our everyday life. Given the important and long-lasting impact that the visual design of GUIs has on User Experience, its experimental study is of high ...

In this article, we show how to define distance functions for multi-edged graphs, either with vertices being labelled or unlabelled. These metrics are constructed mainly based on the minimal matching for multi-sets. In the end, we implement such metrics ...

Evaluation metrics for search typically assume items are homoge- neous. However, in the context of web search, this assumption does not hold. Modern search engine result pages (SERPs) are composed of a variety of item types (e.g., news, web, entity, ...

Bitemporal data warehouse (BTDW) design that extends the multidimensional model uses bitemporal (combination of valid time and transaction time) timestamps on the members of multidimensional data in order to manage time-varying data. Various approaches to ...

Ecuador's constant technological growth is evident in recent years, great efforts have been devoted to the development of information systems for organizations, but only for the development of systems; unfortunately, there are few security controls or ...

We study Gδ subspaces of continuous dcpos, which we call domain-complete spaces, and Gδ subspaces of locally compact sober spaces, which we call LCS-complete spaces. Those include all locally compact sober spaces—in particular, all continuous ...

We present a tool ("cwl_eval") which unifies many metrics typically used to evaluate information retrieval systems using test collections. In the CWL framework metrics are specified via a single function which can be used to derive a number of related ...

Interpretability of Machine Learning (ML) methods and models is a fundamental issue that concerns a wide range of data mining research. This topic is not only an academic concern, but a crucial aspect for public acceptance of ML in practical contexts as ...

Mindfulness is an important emerging topic. Individual mindfulness in IT use has not been studied systematically. Through three programmatic empirical studies, this paper develops a scale for IT mindfulness and tests its utility in the post-adoption ...

There is no agreed definition of social capital in the literature. However, one interpretation is that it refers to those resources embedded in an individual's social network offering benefits to that individual in relation to achieving goals and ...

We challenge two taken-for-granted assumptions about measurement in positivist research. The first assumption is that measures and measurements are relevant for quantitative, but not qualitative, research. We explain why they apply to both types of ...