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Jens Dörpinghaus, David Samray and Robert Helmrich
The German labor market relies heavily on vocational training, retraining, and continuing education. In order to match training seekers with training offers and to make the available data interoperable, we present a novel approach to automatically detect...
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Conceição Gomes, Filipa Campos, Cátia Malheiros and Luís Lima Santos
The main purpose of this study is to understand how Portuguese restaurants? solvency was affected by the COVID-19 pandemic, considering the factors that influence it. Financial information was collected for the years 2019 and 2020 in the SABI database to...
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Sofía Ramos-Pulido, Neil Hernández-Gress and Gabriela Torres-Delgado
This study shows the significant features predicting graduates? job levels, particularly high-level positions. Moreover, it shows that data science methodologies can accurately predict graduate outcomes. The dataset used to analyze graduate outcomes was ...
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Benjamin Jahic, Nicolas Guelfi and Benoît Ries
Neural network (NN) components are being increasingly incorporated into software systems. Neural network properties are determined by their architecture, as well as the training and testing datasets used. The engineering of datasets and neural networks i...
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I.S. Volkov,D.V. Reut
Pág. 99 - 103
Digitalization has spread to all spheres of social life, and the coronavirus pandemic has only intensified this trend. An analysis of statistical data for 2019-2021 is presented in order to find out the extent to which national projects in the field...
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Kesavan Manoharan, Pujitha Dissanayake, Chintha Pathirana, Dharsana Deegahawature, Renuka Silva
Various industry sectors of many developing countries have been facing various challenges associated with low performance of labour due to poor work-based training practices. This study aims to assess the performance of labour in construction by applying...
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Jelena Andelkovic Labrovic, Ivana Milinkovic, Nikola Petrovic, Ivana Kovacevic
Pág. 45 - 54
Research Question: This paper investigates into which competencies and competency areas are essential for graduates to be employable in Serbia. Motivation: The research was conducted with the aim to recommend to the Faculty of Organizational Sciences to ...
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Md Monowar Hossain, A. H. M. Faisal Anwar, Nikhil Garg, Mahesh Prakash and Mohammed Bari
Early prediction of rainfall is important for the planning of agriculture, water infrastructure, and other socio-economic developments. The near-term prediction (e.g., 10 years) of hydrologic data is a recent development in GCM (General Circulation Model...
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David Trok?iar, Lenka Havelková and Martin Hanus
Maps are not just powerful tools to communicate spatial information; they also have significant educational potential to develop students? knowledge, skills, and thinking. To fully exploit this potential, deep research is needed into map-use processes co...
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Bozena Gajdzik and Radoslaw Wolniak
This paper presents a framework of employee skills and competencies useful for developing occupational profiles for employees of companies transitioning towards Industry 4.0. The paper consists of a discussion of the theoretical and practical parts of ca...
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