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Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl and Matthias L. Hemmje
Manual labeling and categorization are extremely time-consuming and, thus, costly. AI and ML-supported information systems can bridge this gap and support labor-intensive digital activities. Since it requires categorization, coding-based analysis, such a...
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Fahim Sufi
GPT (Generative Pre-trained Transformer) represents advanced language models that have significantly reshaped the academic writing landscape. These sophisticated language models offer invaluable support throughout all phases of research work, facilitatin...
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Jasmin Carus, Sylvia Nürnberg, Frank Ückert, Catarina Schlüter and Stefan Bartels
A great challenge in the use of standardized cancer registry data is deriving reliable, evidence-based results from large amounts of data. A solution could be its mapping to a common data model such as OMOP, which represents knowledge in a unified semant...
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Jabar H. Yousif, Firdouse R. Khan, Safiya N. Al Jaradi and Aysha S. Alshibli
Social media applications have been increasingly gaining significant attention from online education and training platforms. Social networking tools provide multiple advantages for communicating, exchanging opinions, and discussing specific issues. Socia...
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Dianadewi Riswantini, Ekasari Nugraheni, Andria Arisal, Purnomo Husnul Khotimah, Devi Munandar and Wiwin Suwarningsih
The COVID-19 pandemic has induced many problems in various sectors of human life. After more than one year of the pandemic, many studies have been conducted to discover various technological innovations and applications to combat the virus that has claim...
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Otmane Azeroual
Databases such as research data management systems (RDMS) provide the research data in which information is to be searched for. They provide techniques with which even large amounts of data can be evaluated efficiently. This includes the management of re...
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Tibor Koltay
This paper focuses on the characteristics of research data quality, and aims to cover the most important issues related to it, giving particular attention to its attributes and to data governance. The corporate word?s considerable interest in the quality...
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Otmane Azeroual and Wlodzimierz Lewoniewski
The quality assurance of publication data in collaborative knowledge bases and in current research information systems (CRIS) becomes more and more relevant by the use of freely available spatial information in different application scenarios. When integ...
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Ben Kei Daniel
The growing volume of data generated by machines, humans, software applications, sensors and networks, together with the associated complexity of the research environment, requires immediate pedagogical innovations in academic programs on research method...
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P. K. Paul,P. S. Aithal
Pág. 107 - 118
India is moving towards a developed country and thus knowledge cultivation is very much required and in this context introducing new age programs and degrees are essential. This is required for the creation of next generation skills and knowledge as per ...
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Brent Mittelstadt
The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Inte...
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Liang Liu, Tianbin Li and Chunchi Ma
Three-dimensional (3D) models provide the most intuitive representation of geological conditions. Traditional modeling methods heavily depend on technicians? expertise and lack ease of updating. In this study, we introduce a deep learning-based method fo...
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Bao Zhou, Junsan Zhao, Guoping Chen and Ying Yin
With the popularity of spatiotemporal big data applications, more and more sensitive data are generated by users, and the sharing and secure storage of spatiotemporal big data are faced with many challenges. In response to these challenges, the present p...
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Santiago Timón-Reina, Mariano Rincón, Rafael Martínez-Tomás, Bjørn-Eivind Kirsebom and Tormod Fladby
Applying knowledge graphs, graph analytics, and graph machine learning for integrating multi-modal dementia research data.
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Ming Chen, Kai Huang, Jian Wang, Wenzhi Liu and Yuanyuan Shi
The reliability of urban transportation systems is crucial for ensuring smooth traffic flow and minimizing disruptions caused by external factors. This study focuses on improving the stability and efficiency of transportation systems through the calibrat...
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Alexandr Oblizanov, Natalya Shevskaya, Anatoliy Kazak, Marina Rudenko and Anna Dorofeeva
In recent years, artificial intelligence technologies have been developing more and more rapidly, and a lot of research is aimed at solving the problem of explainable artificial intelligence. Various XAI methods are being developed to allow the user to u...
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Anibal Flores, Hugo Tito-Chura, Lissethe Zea-Rospigliosi
Pág. 46 - 58
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Yiwen Zhu, Xumin Zhang, Simin Yan and Lin Zou
Live streaming commerce (LSC) effectively combines the traditional real economy and e-commerce. Based on more than half a million unique GIS data values on LSC activities sourced via Taobao (Alibaba), we traced the spatial distribution of different playe...
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Idrees Alsolbi, Renu Agarwal, Bhuvan Unhelkar, Tareq Al-Jabri, Mahendra Samarawickrama, Siamak Tafavogh and Mukesh Prasad
Analysing and understanding donor behaviour in nonprofit organisations (NPOs) is challenging due to the lack of human and technical resources. Machine learning (ML) techniques can analyse and understand donor behaviour at a certain level; however, it rem...
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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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