Geospatial Data Enrichment through Address Geocoding: Challenges and Solutions by E. Hristov, D. Petrova-Antonova, F. De Paoli, I. Krasteva, M. Ciavotta, R. Avogadro

“…Geospatial data enrichment challenges are explored using the SemTUI framework and QGIS platform. …”
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Methodological Basis and Experience of Using Data Mining Methods in Trade by D. T. Kaiyp, M. G. Zhartybayeva, Zh. O. Oralbekova

“…The primary development tool used is the Jupyter web platform, and three cores have been developed: quantitative data selection, strategy testing on data, time series analysis, and visualization. …”
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Educational Reforms and Healthcare Competitiveness through Data-Driven Analysis by Artem Artyukhov, Olha Yeremenko, Nadiia Artiukhova, Artur Lapidus, Olena Churikanova, Kseniia Bliumska-Danko

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ClimeApp: data processing tool for monthly, global climate data from the ModE-RA palaeo-reanalysis, 1422 to 2008 CE by R. Warren, R. Warren, N. E. Bartlome, N. E. Bartlome, N. Wellinger, N. Wellinger, J. Franke, J. Franke, R. Hand, R. Hand, S. Brönnimann, S. Brönnimann, H. Huhtamaa, H. Huhtamaa

“…</p> <p>ClimeApp allows access to three data sets: (1) ModE-RA, a reanalysis that is created by assimilating early instrumental documentary and proxy data into an ensemble of climate model simulations; (2) ModE-Sim, the native version of the underlying ensemble simulations, i.e. prior to data assimilation; and (3) ModE-RAclim, an alternative version of the reanalysis product. …”
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The OpenMindat v1.0.0 R package: a machine interface to Mindat open data to facilitate data-intensive geoscience discoveries by X. Que, J. Zhang, W. Chen, J. Ralph, X. Ma

“…In real-world applications, these functions only require minor coding for users to get desired datasets, and various other packages in the R environment can be used to analyze and visualize the data. The OpenMindat v1.0.0 package, which includes detailed tutorials and examples, is available on GitHub under the MIT license. …”
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Unlocking data: Decision-maker perspectives on cross-sectoral data sharing and linkage as part of a whole-systems approach to public health policy and practice by Emily Tweed, Kristina Cimova, Peter Craig, Mirjam Allik, Denise Brown, Mhairi Campbell, David Henderson, Charlie Mayor, Petra Meier, Nick Watson

“…Setting and scope Scotland; public and third sector data. Results Based on the workshops, and supported by the reviews and case studies, we created a visual representation of the use of evidence, and secondary data in particular, in decision-making for healthy public policy and practice. …”
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Impact of JPEG compression on the metrological characteristics of industrial CT data by Steffen Kieß, Robin Trostorf, Hieu Tran, Jajnabalkya Guhathakurta, Sven Simon, Ulrich Neuschaefer-Rube

“…Handling these large amounts of data poses a considerable challenge in metrology in terms of sufficiently fast visualization, analysis and data transfer via networks (local networks or over the Internet) as well as cost- and energy-efficient archiving of TB to PB data volumes. …”
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Cooperative integration of spatially resolved multi-omics data with COSMOS by Yuansheng Zhou, Xue Xiao, Lei Dong, Chen Tang, Guanghua Xiao, Lin Xu

“…We generate a graph neural network algorithm named COSMOS to address this gap and demonstrated the superior performance of COSMOS in domain segmentation, visualization, and spatiotemporal map for spatially resolved multi-omics data integration tasks.…”
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Covid-19 pandemic data analysis using tensor methods by Dipak Dulal, Ramin Goudarzi Karim, Carmeliza Navasca

“…Moreover, we compare the algorithms with standard tensor decompositions concerning their interpretability, visualization, and cost analysis. Finally, we demonstrate the efficacy of the methods by applying the techniques to the New Jersey Covid-19 case tensor data.…”
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COVID-19 Data Analytics Using Extended Convolutional Technique by Anand Kumar Gupta, Asadi Srinivasulu, Olutayo Oyeyemi Oyerinde, Giovanni Pau, C. V. Ravikumar

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EEG Data Augmentation Method Based on the Gaussian Mixture Model by Chuncheng Liao, Shiyu Zhao, Xiangcun Wang, Jiacai Zhang, Yongzhong Liao, Xia Wu

“…The t-SNE visualization results show that the generated data are more compact. …”
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Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data by Tao Zhang, Biyao Wang, Pengtao Yan, Kunlun Wang, Xu Zhang, Huihui Wang, Yan Lv

“…The original hyperspectral data were processed through the principal-component analysis (PCA). …”
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Development of a Digital Hologram Map Using Bathymetric Data by Jumamurod Farhod Ugli Aralov, Oybek Mirzaevich Narzulloev, Leehwan Hwang, Philippe Gentet, Seunghyun Lee

“…By integrating bathymetric data with holographic visualization, this study highlights the importance of precise and accessible three-dimensional mapping in advancing oceanographic research, enhancing underwater analysis, and supporting marine science.…”
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Safety Monitoring of Expressway Construction Based on Multisource Data Fusion by Dianliang Xiao, Tiantao Zhang, Xudong Zhou, Guangshun Zheng, Haoran Song

“…This paper analyzes high-speed data in the context of multisource data fusion. Study on highway slope construction safety monitoring. …”
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Development of a neural network model for spatial data analysis by E. O. Yamashkina, S. A. Yamashkin, O. V. Platonova, S. M. Kovalenko

“…The paper aimed to develop and validate a neural network model for spatial data analysis. The advantage of the proposed model is the presence of a large number of degrees of freedom allowing its flexible configuration depending on the specific problem. …”
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Federated learning for privacy-enhanced mental health prediction with multimodal data integration by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

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Multi-Layer Modeling and Visualization of Functional Network Connectivity Shows High Performance for the Classification of Schizophrenia and Cognitive Performance via Resting fMRI by Duc My Vo, Anees Abrol, Zening Fu, Vince D. Calhoun

“…We propose a multi-layered neural network that generates nonlinear heatmaps from FNC matrices, which we visualize at multiple layers, enabling us to better characterize multi-level interactions and improve interpretability. …”
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Fusion of 3D photorealistic lateral-to-medial brain white matter dissection and diffusion tensor imaging for dynamic visualization of key fiber tracts by Daniele Armocida, Toma Spiriev, Milko Milev, Francesco Carbone, Michael Wolf-Vollenbröker, Michael Sabel, Marion Rapp, Jan Frederick Cornelius

“…This study presents photorealistic 3D photogrammetric models of lateral-to-medial dissections of clinically relevant fiber tracts combined with 3D DTI fiber tract data. Research question: Can the integration of photorealistic 3D photogrammetric models and DTI data enhance the understanding of WM fiber tract anatomy and improve its educational and neurosurgical applications? …”
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Prevalence of mineralization in the pulp chamber in patients according to CBCT data by V. A. Molokova, I. N. Antonova, V. A. Osipova

“…The median and interquartile range were used to describe the quantitative data. Comparison of quantitative variables was performed using the nonparametric Kruskal-Wallis and Mann-Whitney tests. …”
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Bridging Data Communities: Interoperability through inclusive, cross-institutional collaboration by Anna Sackmann, Elliott Smith, Lisa Ngo, Misha Coleman

“…Methods: Librarians developed a low-barrier introductory peer-to-peer data science workshop series to support students seeking to develop coding, data analysis, and visualization skills, with a focus on Python and SQL. …”
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