Author: VPInstitute
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Scientific Trends in Artificial Neural Networks for Management Science
The use of artificial neural network (ANN) is growing significantly, and their areas of application are varied. In this case, the main aim of the study is to present an overall view of trends and research carried out in ANNs specifically in management science. To this aim, the data of publications about ANN in the…
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One-Year In: COVID-19 Research at the International Level in CORD-19 Data (Full-Text)
The appearance of a novel coronavirus in late 2019 radically changed the community of researchers working on coronaviruses since the 2002 SARS epidemic. In 2020, coronavirus-related publications grew by 20 times over the previous two years, with 130,000 more researchers publishing on related topics. The United States, the United Kingdom and China led dozens of…
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Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data
Understanding the complex patterns in research funding plays a fundamental role in comprehensively revealing funding preferences and informing ideas for future strategic innovation. This is especially true when the funding policies need to be constantly shifted to accommodate highly complex and ever-changing demands for technological, economic, and social development. To this end, we investigate the…
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Identification of factors affecting the reduction of VOC emissions in the paint industry: Systematic literature review – SLR (Full-Text)
In recent years, the interest of the manufacturing industry in new perspectives aimed at sustainability has increased, driving the manufacture of paints to use alternatives that help to reduce the impacts generated by the emission of Volatile Organic Compounds (VOCs); these impacts are especially negative since they have environmental consequences related to atmospheric pollution and…