Results 11 to 20 of about 2,641,789 (298)
Modeling Hydrates and the Gas Hydrate Markup Language
Data Science Journal, 2007 Natural gas hydrates, as an important potential fuels, flow assurance hazards, and possible factors initiating the submarine geo-hazard and global climate change, have attracted the interest of scientists all over the world.
Weihua Wang +4 more
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Applied Sciences, 2022 The constant upward movement of data-driven medicine as a valuable option to enhance daily clinical practice has brought new challenges for data analysts to get access to valuable but sensitive data due to privacy considerations. One solution for most of
Sascha Welten +12 more
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Baby’s Online Live Database: An Open Platform for Developmental Science
Frontiers in Psychology, 2021 Efficient data collection in developmental studies is facing challenges due to the decreased birth rates in many regions, reproducibility problems in psychology research, and the COVID-19 pandemic.
Masaharu Kato +13 more
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Mobility-assisted big data collecting in wireless sensor networks
International Journal of Distributed Sensor Networks, 2016 In recent years, the big data emerged as a hot topic because of the rapid growth of the information and wireless communication technology. One of the significant sources of the big data is wireless sensor networks.
Jinghua Zhu +3 more
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Exploring biomedical ontology mappings with graph theory methods [PDF]
PeerJ, 2017 Background In the era of semantic web, life science ontologies play an important role in tasks such as annotating biological objects, linking relevant data pieces, and verifying data consistency.
Simon Kocbek, Jin-Dong Kim
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GIS-Publisher: Simplifying web-based GIS application development for enhanced data dissemination
SoftwareXGeographic Information Systems (GIS) are complex systems that store, organize, process, and present geographically referenced data. Developing GIS requires specialized knowledge of algorithms, data structures, and geospatial concepts, along with the ...
Victor Lamas +3 more
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Unsupervised Novelty Detection Using Deep Autoencoders with Density Based Clustering
Applied Sciences, 2018 Novelty detection is a classification problem to identify abnormal patterns; therefore, it is an important task for applications such as fraud detection, fault diagnosis and disease detection.
Tsatsral Amarbayasgalan +2 more
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The Thermodynamic Database Database
Calphad, 2018 Abstract This paper describes an effort to organize the condensed phases thermodynamic data freely available in electronic form within the scientific literature through the design of a special-purpose search engine indexing data electronically available in the “thermodynamic database” (TDB) format.
Axel van de Walle +2 more
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IEEE Access, 2020 Developing lifelong learning algorithms are mandatory for computational systems biology. Recently, many studies have shown how to extract biologically relevant information from high-dimensional data to understand the complexity of cancer by taking the ...
Erdenebileg Batbaatar +6 more
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Online tools for efficient paper writing
Human Genome Variation, 2022 For researchers, writing a paper is an essential task, and it is crucial for them to have an environment to facilitate the paper writing process. In addition, writing in English is more difficult for many non-native English speakers.
Yasunori Yamamoto, Toyofumi Fujiwara
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