Clustering Analysis of Multivariate Data: A Weighted Spatial Ranks-Based Approach by Mohammed H. Baragilly, Hend Gabr, Brian H. Willis

“…The method is completely data-driven, robust against distributional assumptions, and accurate for the purpose of intuitive visualization and can be used both to determine the number of clusters and assign each observation to its cluster.…”
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Airborne radiometric data for digital soil mapping of peat at broad and local scales by Dave O’Leary, Colin Brown, Jim Hodgson, John Connolly, Louis Gilet, Patrick Tuohy, Owen Fenton, Eve Daly

“…Classification confidence values are used to identify the transition zone between these soil types, providing a simplified visualisation of this transition. Validation is performed using Loss on Ignition (LOI %) point data and several different (blanket bog, raised bog, transition zone) sites in Ireland, showing classified data can detect the presence of peat soils from broad to local scales. …”
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Functional Data Clustering Based on Weighted Functional Spatial Ranks With Clinical Applications by Mohammed Baragilly, Hend Gabr, Brian H. Willis

“…Functional data analysis is receiving increasing attention in several scientific disciplines. …”
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Energy filtering enables macromolecular MicroED data at sub-atomic resolution by Max T. B. Clabbers, Johan Hattne, Michael W. Martynowycz, Tamir Gonen

“…This strategy results in sub-atomic resolution MicroED data from proteinase K crystals, enabling the visualization of detailed structural features. …”
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Deep Learning Approaches for Wildfire Severity Prediction: A Comparative Study of Image Segmentation Networks and Visual Transformers on the EO4WildFires Dataset by Dimitris Sykas, Dimitrios Zografakis, Konstantinos Demestichas

“…This restriction is well known in the remote sensing domain, as accessible, accurately labeled data may be limited. Visual transformers like TeleViT showed potential but underperformed compared to segmentation networks in terms of F1 and IoU scores.…”
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A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum by Janis Judvaitis, Eduards Blumbergs, Audris Arzovs, Andris Ivars Mackus, Rihards Balass, Leo Selavo

“…The approach of the IECC Data Management Framework (DMF) introduces a novel combination of multiple easy-to-configure plugin environments using data visualization features. …”
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Gender Factor in Associative Links of Words: Dictionary and Distributive-Semantic Model Data by T. A. Litvinova, E. S. Kotlyarova, V. A. Zavarzina

“…The use of a set of methods for data mining (clustering, classification) and visualization of its results made it possible to establish the influence of gender on the composition of the semantic associates of the analyzed words (that is, words with close vectors in the distributive-semantic model) and the absence of such an effect in their associates recorded in the associative dictionary. …”
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Optimization of Three-Dimensional Model of Landscape Space Based on Big Data Analysis by Cuixia Wang

“…Based on this, this paper studies the optimization strategy of landscape space 3D model based on big data analysis. Based on the analysis of the establishment of the 3D model and the related algorithm research, this paper analyzes the optimal design of the 3D model under the background of big data. …”
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MuPETFlow: multiple ploidy estimation tool from flow cytometry data by C. Gómez-Muñoz, G. Fischer

“…Abstract Background Ploidy, representing the number of homologous chromosome sets, can be estimated from flow cytometry data acquired on cells stained with a fluorescent DNA dye. …”
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Brain lesion MRI and co-related MRS spectroscopy datasetMendeley Data by Sura Riyadh Saleh, Suhad A. Yousif, Israa Qader Ahmed

“…Analysing brain lesions of various aetiologies necessitates imaging data with subsequent diagnostic techniques that may enable concomitant visualization of spatial anatomical entities, and aberrant molecular behaviour. …”
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Real-Time Multiresolution Management of Spatiotemporal Earth Observation Data Using DGGS by Amir Mirzai Golpayegani, Mahmudul Hasan, Faramarz F. Samavati

“…Our system enables the dynamic retrieval and visualization of time-varying data for a user-defined ROI. …”
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Comparative analysis of effective data protection practices in healthcare: Russia and international standards by Diana A. Lebedeva

“…The main research methods employed include comparative-legal analysis, formal-legal analysis, expert-analytical methods, visualization techniques, and structural analysis. The aim of the study is to analyze the legislation related to the protection of patients’ personal data in healthcare across different countries and to identify recommendations for Russia. …”
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TockyPrep: data preprocessing methods for flow cytometric fluorescent timer analysis by Masahiro Ono

“…Conclusions: TockyPrep is available for distribution via GitHub at https://github.com/MonoTockyLab/TockyPrep , providing tools for data preprocessing and basic visualization of Timer fluorescence data. …”
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Innovative data techniques for centrifugal pump optimization with machine learning and AI model. by Gaurav Sandeep Dave, Amar Pradeep Pandhare, Atul Prabhakar Kulkarni, Dhananjay Vasant Khankal

“…Key techniques include Exploratory Data Analysis (EDA), Data Visualization, and Feature Engineering (FE), which collectively enhance data interpretability. …”
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Empowering MSMEs with Data-Driven Insights: Mobile Sales Dashboard Application for MSMEs by Zalina Fatima Azzahra, Riska Yanu Fa'rifah, Syfa Nur Lathifah

“…This application was developed using Java and Firebase and provides sales summary features, best-selling cashiers, best-selling products, and less popular products, with time filters and graphical data visualization. Testing using Black Box Testing shows that all features run well, while the results of the User Acceptance Test (UAT) show that 90.625% of users feel that this application is easy to use and suits their needs. …”
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MULTILEVEL MODAL VALUE ANALYSIS FOR INTERPRETING CATEGORICAL K-MEDOIDS CLUSTERS DATA by Rachmad Fitriyanto, Ummi Syafiqoh

“…Most segmentation studies typically stop at the formation of clusters without further interpretation, particularly when dealing with categorical data. This study aims to modify the use of K-Medoid and propose a method for interpreting clusters with categorical data. …”
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The use of audio-visual aids to reduce delirium after cardiac surgery in intensive care units (DaCSi-ICU): A feasibility study protocol. by Maria Joao De Azinheira Reguenga, Smaragda Lampridou, Natalie Pattison, Stephen James Brett, Sanooj Soni

“…A total of 12 patients, alongside 12 family members or significant others and 6 ICU nurses will be recruited. Demographic data will be reported descriptively, and clinical data will be managed statistically through SPSS. …”
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A Multimodal Framework Embedding Retrieval-Augmented Generation with MLLMs for Eurobarometer Data by George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Christos Tjortjis

“…This study introduces a multimodal framework integrating retrieval-augmented generation (RAG) with multimodal large language models (MLLMs) to enhance the accessibility, interpretability, and analysis of Eurobarometer survey data. Traditional approaches often struggle with the diverse formats and large-scale nature of these datasets, which include textual and visual elements. …”
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CoMA - an intuitive and user-friendly pipeline for amplicon-sequencing data analysis. by Sebastian Hupfauf, Mohammad Etemadi, Marina Fernández-Delgado Juárez, María Gómez-Brandón, Heribert Insam, Sabine Marie Podmirseg

“…Moreover, the tool offers various useful services including data pre-processing, quality checking, clustering to operational taxonomic units (OTUs), taxonomic assignment, data post-processing, data visualization, and statistical appraisal. …”
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Block-Wise Domain Adaptation for Workload Prediction from fNIRS Data by Jiyang Wang, Ayse Altay, Leanne Hirshfield, Senem Velipasalar

“…Additional challenges imposed by fNIRS data include not only the high variations in inter-subject fNIRS data but also the variations in intra-subject data collected across different blocks of sessions. …”
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