BIM-GIS Integration for Interactive, Open and Low-Cost 3D Land Use Registration and Urban Neighbourhood Management by Dimitra Andritsou, Chryssy Potsiou

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New perspectives for the Annelida collection (National Museum/UFRJ) database: using data visualization to analyze and manage biological collections by Camila Simões Martins de Aguiar Messias, Carlos Cesar de Oliveira Fonseca, Monique Cristina dos Santos, Asla M. Sá, Joana Zanol

“…This work aims to show the use of interactive visual representations (IVRs) of the collection’s metadata as tools to inspect the data and help solve these challenges. …”
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New perspectives for the Annelida collection (National Museum/UFRJ) database: using data visualization to analyze and manage biological collections by Camila Simões Martins de Aguiar Messias, Carlos Cesar de Oliveira Fonseca, Monique Cristina dos Santos, Asla M. Sá, Joana Zanol

“…This work aims to show the use of interactive visual representations (IVRs) of the collection’s metadata as tools to inspect the data and help solve these challenges. …”
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Spatial Attribution of Temporal Variability in Global Land‐Atmosphere CO2 Exchange Using a Model‐Data Integration Framework by H. Lee, M. Jung, N. Carvalhais, M. Reichstein, M. Forkel, A. A. Bloom, J. Pacheco‐Labrador, S. Koirala

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Integrating human mobility and animal movement data reveals complex space-use between humans and white-tailed deer in urban environments by Szandra A. Péter, Travis Gallo, Jennifer Mullinax, Amira Roess, Gabriela Palomo-Munoz, Taylor Anderson

“…Temporal analysis showed deer avoiding commercial spaces during daytime but using them in late evening and early morning. These findings highlight the complex space use between species and the importance of integrating detailed human mobility and animal movement data when managing wildlife–human conflict and zoonotic disease transmission, particularly in urban areas with a high probability of deer–human interactions.…”
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Novel model for medium to long term photovoltaic power prediction using interactive feature trend transformer by Xiang Liu, Qingyu Liu, Shuai Feng, Yangyang Ge, Haoran Chen, Chunling Chen

“…Initially, deep isolated forest (DIF) and local anomaly factor (LOF) are used to construct a parallel framework that serves as the data preprocessing module, removing outliers from raw data. …”
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LISE: A Logic-Based Interactive Similarity Explainer for Clusters of RDF Data by Simona Colucci, Francesco Maria Donini, Verdiana Schena, Floriano Scioscia, Eugenio Di Sciascio

“…Clustering methods are instrumental in the preliminary analysis of unstructured data, yet interpreting the resulting groups—-especially in the context of RDF (Resource Description Framework) data—-poses significant challenges. …”
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Datavzrd: Rapid programming- and maintenance-free interactive visualization and communication of tabular data. by Felix Wiegand, David Lähnemann, Felix Mölder, Hamdiye Uzuner, Adrian Prinz, Alexander Schramm, Johannes Köster

“…Exchange and communication of tabular data is therefore a central challenge. We present Datavzrd, a tool for creating portable, visually rich, interactive reports from tabular data in any kind of scientific discipline. …”
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A novel test for gene-ancestry interactions in genome-wide association data. by Joanna L Davies, Jean-Baptiste Cazier, Malcolm G Dunlop, Richard S Houlston, Ian P Tomlinson, Chris C Holmes

“…We envisage our methodology being of particular interest to researchers with existing GWAS data, as ancestry groups can be easily defined and thus tested for interactions.…”
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Spatial Overlap and Behavioral Interactions Among Four Habronattus Jumping Spider Species in a Mixed‐Species Assemblage by Jenny Y. Sung, Jack A. Fogle, Nathan I. Morehouse

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Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline by Fenglin Tian, Jing Xie, Guangzhe Liu, Yongyang Qi, Ge Chen

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Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data by Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed

“…By integrating multi-omics data with graph-based deep learning, our proposed approach demonstrates robust predictive performance and interpretability with potential to enhance the translation of complex multi-omics data into clinically actionable cancer diagnostics.…”
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From social interactions to transactions: investigating South African Facebook users’ intention to shop on Facebook by Euodia Isabella Botha, Melanie Wiese

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Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data by asmaa Bashar Hmaza, Rajaa K. Hasoun

“…The process begins with collecting and preprocessing EEG information to use the data for training and testing the proposed system. …”
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Use of Data Mining for Intelligent Evaluation of Imputation Methods by David Red, Carlos R. Primorac

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Using the MWC model to describe heterotropic interactions in hemoglobin. by Olga Rapp, Ofer Yifrach

“…Our results suggest that the simple MWC model provides a reasonable description that can also account for heterotropic interactions in hemoglobin. The results, moreover, offer a general roadmap for successful data fitting analysis using the MWC model.…”
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Enhancing Patient-Medical Staff Interaction using Technology by Dragos Vlad GRANU

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Gaussian Mixture Model with Weighted Data for Learning by Demonstration by Amélie Legeleux, Cédric Buche, Dominique Duhaut

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Stochastic models allow improved inference of microbiome interactions from time series data. by Román Zapién-Campos, Florence Bansept, Arne Traulsen

“…Starting from a stochastic model, we derive dynamical equations not only for the average, but also for higher statistical moments of the microbial abundances. We use these equations to infer distributions of the interaction parameters that best describe the biological experimental data-improving identifiability and precision. …”
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Constructing compact Takagi-Sugeno rule systems: identification of complex interactions in epidemiological data. by Shang-Ming Zhou, Ronan A Lyons, Sinead Brophy, Mike B Gravenor

“…The Takagi-Sugeno (TS) fuzzy rule system is a widely used data mining technique, and is of particular use in the identification of non-linear interactions between variables. …”
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