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Acknowledgment to Reviewers of Data in 2021
Data, 2022 Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Data Editorial Office
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Acknowledgment to Reviewers of Data in 2020
Data, 2021 Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Data maintains its standards for the high quality of its published papers [...]
Data Editorial Office
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Acknowledgment to the Reviewers of Data in 2022
Data, 2023 High-quality academic publishing is built on rigorous peer review [...]
Data Editorial Office
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Organic Thermoelectric Materials as the Waste Heat Remedy
Molecules, 2022 The primary reason behind the search for novel organic materials for application in thermoelectric devices is the toxicity of inorganic substances and the difficulties associated with their processing for the production of thin, flexible layers.
Szymon Gogoc, Przemyslaw Data
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Patterns, 2022 Our “digified” lives have provided researchers with an unprecedented opportunity to study society at a much higher frequency and granularity. Such data can have a large sample size but can be sparse, biased, and exclusively contributed by the users of the technologies.
Basiri, Anahid, Brunsdon, Chris
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Acknowledgement to Reviewers of Data in 2019
Data, 2020 The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not [...]
Data Editorial Office
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SSMJ talks to Data Gordon about Men4Women
South Sudan Medical Journal, 2023 Violence against women and girls (VAWG) impacts individuals, communities, and societies across the globe. Data from the World Health Organization indicate that 1 in 3 women worldwide have experienced VAWG in their lifetime, either through intimate ...
Ann Burgess, Data Gordon
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T-DFNN: An Incremental Learning Algorithm for Intrusion Detection Systems
IEEE Access, 2021 Machine learning has recently become a popular algorithm in building reliable intrusion detection systems (IDSs). However, most of the models are static and trained using datasets containing all targeted intrusions.
Mahendra Data, Masayoshi Aritsugi
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Environment Conservation Journal, 2023 The present investigation aimed to determine the per cent growth inhibition of different fungicides against Alternaria burnsii, the causal agent of cumin blight. The study was conducted during 2020-21 at the Experiential Unit of Plant Pathology, College
Sunaina Varma, Data Ram Kumhar
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Embedding With Preservation of Semantics of the Original Data
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2022 In the modern world, the data used to describe objects is often presented as sparse vectors with a large number of features. Working with them can be computationally inefficient, and often leads to overfitting; therefore, the data dimension reduction ...
M. E. Vatkin +3 more
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