Data Loggers for High-Temperature Industrial Environments by Roberto Cecchi, Alessandro Catania, Christian Sbrana, Massimo Macucci, Sebastiano Strangio, Giuseppe Iannaccone

“…In this work, we propose two distinct data acquisition systems to address this challenge. …”
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An Introduction to Freely Available Street Network Data by Hartwig H. Hochmair, Dennis Zielstra

“…It discusses the benefits and limitations of each dataset, including data quality, completeness, and applications in GIS projects. …”
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Data Driven Program Planning for GIS Instruction. by Edith Scarletto

“… This study used both focus groups (qualitative) and survey data (quantitative) to develop and expand an instruction program for GIS services. …”
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Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

“…With the sheer size of data available today, big data brings big opportunities and transformative potential for various sectors; on the other hand, it also presents unprecedented challenges to harnessing data and information. …”
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Nonparametric expectile shortfall regression for functional data by Almanjahie Ibrahim M., Abood Hanan, Bouzebda Salim, Alshahrani Fatimah, Laksaci Ali

“…A key feature of our contribution is the straightforward implementation of the estimator, demonstrated through applications on both simulated and real data. Our findings indicate that the new ES-expectile model is more effective than the standard model based on quantile regression, offering improved relevance in financial risk management.…”
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Algorithm of blockchain data provenance based on ABE by Youliang TIAN, Kedi YANG, Zuan WANG, Tao FENG

“…To solve the problem that the blockchain-based traceability algorithm mainly used homomorphic encryption and zero-knowledge proof for privacy protection,making it difficult to achieve dynamic sharing of traceability information,a blockchain data traceability algorithm based on attribute encryption was proposed.In order to realize the dynamic protection of transaction privacy,the strategy update algorithm applicable to block chain was designed based on the CP-ABE scheme proposed by Waters to achieve dynamic protection of transaction privacy.In order to realize the dynamic update of the visibility about block content,based on the strategy update algorithm,the block structure was designed to achieve the dynamic update about the content visibility of the block.The security and experimental simulation analysis show that the proposed algorithm can realize the dynamic sharing of traceability information while completing the protection transaction privacy.…”
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Inferring species extinction from sighting data by Rachel S. McCrea, Thomas Cheale, Eduard Campillo-Funollet, David L. Roberts

“…For the vast majority of species our understanding of their existence is based solely on sighting data that can range from museum specimens and clear photographs, through vocalisations, to markings and oral accounts. 3. …”
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An R package for divergence analysis of omics data. by Wikum Dinalankara, Qian Ke, Donald Geman, Luigi Marchionni

“…This is a novel framework that is significantly different from existing omics data analysis methods: it allows digitization of continuous omics data at the univariate or multivariate level, facilitates sample level analysis, and is applicable on many different omics platforms. …”
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Distorted insights from human mobility data by Riccardo Gallotti, Davide Maniscalco, Marc Barthelemy, Manlio De Domenico

“…Abstract The description of human mobility is at the core of many fundamental applications ranging from urbanism and transportation to epidemics containment. …”
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Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

“…In data science and machine learning, efficient and scalable algorithms are paramount for handling large datasets and complex tasks. …”
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DMF Data Format Usage for Change Detection by Alejandro Cristo, David Valencia, Pablo J. Martínez, Rosa M. Pérez

“…Because of the availability of an overwhelming amount of remote sensing data obtained by different instruments, new techniques and applications have been developed in order to pursue the objective of detecting changes that occur in a particular area of the Earth or that affect a large part of the Earth. …”
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Getting the best out of single case data by Jimmie Leppink

“…The author compares three common statistical methods for analyzing SCD data: randomization tests, Bayesian percentage of non-overlapping data (PAND-B), and time series regression (TSR). …”
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Design of rules for data intellectual property protection by FAN Li

“…Analyze the relationship between data intellectual property and the separation of data rights, the applicability of the data intellectual property system from the perspective of encouraging data circulation and usage, and clarify the rights of data intellectual property holders. …”
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Domain question-driven Linked Data modeling by Sofia Baroncini, Marilena Daquino, Francesca Tomasi

“…Currently, there is an increasing interest in experimenting with applications of computer science to humanistic disciplines. …”
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nD-PointCloud Data Management by Haicheng Liu

“… In the Geomatics domain, a point cloud refers to a data set that records the coordinates and other attributes of a huge number of points. …”
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Educational Data Mining: A Foundational Overview by Ilias Papadogiannis, Manolis Wallace, Georgia Karountzou

“…This paper outlines the evolution, significance, and applications of EDM. With the increasing popularity of e-learning in web-based educational systems, EDM has expanded to include a variety of analytical methods and data sources. …”
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Data Anonymization and Privacy Preservation in Healthcare Systems by Datta Krishnasheesh, Gupta Himanshu

“…With the objective to identify key trends and driving factors, a bibliometric analysis was performed using VOSviewer, which focuses on prominent authors, dominant research topics, and collaborative networks in data privacy. In addition, empirical case studies are examined to demonstrate the applicability and effectiveness of these methods in safeguarding user data. …”
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Traffic Prediction with Data Fusion and Machine Learning by Juntao Qiu, Yaping Zhao

“…Although some studies have attempted to introduce multimodal data, they mostly rely on resource-intensive deep neural network architectures, which have difficultly meeting the demands of practical applications. …”
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Finnish inventory data of underwater marine biodiversity by Louise Forsblom, Elina A. Virtanen, Heidi Arponen, Rasmus Boman, Jaakko Haapamäki, Joonas Hoikkala, Niko Kallio, Ville-Juhani Karvinen, Anu Kaskela, Essi Keskinen, Lauri Kuismanen, Lasse Kurvinen, Ari O. Laine, Maiju Lanki, Eveliina Lampinen, Juho Lappalainen, Pekka Lehtonen, Aija Nieminen, Kevin O’Brien, Anu Riihimäki, Henna Rinne, Sonja Salovius-Lauren, Antti Takolander, Karl Weckström, Markku Viitasalo

“…Additionally, examples of data applications and discussion on potential limitations are provided. …”
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Big data in visual field testing for glaucoma by Alex T. Pham, Annabelle A. Pan, Jithin Yohannan

“…The expanding accessibility of large VF databases has led to a surge in studies investigating various applications of big data analytics in glaucoma. In this study, we review the use of big data for evaluating the reliability of VF tests, gaining insights into real-world clinical practices and outcomes, understanding new disease associations and risk factors, characterizing the patterns of VF loss, defining the structure–function relationship of glaucoma, enhancing early diagnosis or earlier detection of progression, informing clinical decisions, and improving clinical trials. …”
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