A multivariate time series prediction model based on the KAN network by Yunji Long, Xue Qin

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Introduction pages, Nova Geodesia 5(2), 2025 by Paul SESTRAS

“…Among the exciting articles, we invite readers to find news about: Analysis of three selected automated multibeam bathymetric filters in BeamWorX AutoClean Software; Exploring the accuracy of height measurements with multi-constellation RTK GNSS; The effect of land use and residential self-selection on automobile travel in the greater Sekondi-Takoradi area of Ghana using structural equation model; Open-source geospatial technologies for census data mapping and visualization: The Romanian 2021 census; Management of virgin beech forests in Serbia and the dynamics of changes in their basic structural elements; Geospatial data for sustainable development goals monitoring: A case study of forest cover dynamics in Romania; Mycorrhizal symbiosis and mineral nutrition of halophytic and halotolerant plants in saline and heavy metal contaminated wetlands; Ethnomedicinal plant wealth of different regions of Uttar Pradesh: Integrating traditional knowledge into healthcare. …”
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Bim and vr: development of a software module for the integration of building information modelling and virtual reality by T. A. Kozlenko, S. V. Pridvizhkin

“…This relatively new technology is rapidly replacing traditional visualization methods, providing users with an enhanced digital experience. …”
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Analysis of diversity and functional traits of epiphytic lichens in Dagestan forests of different formations by A. B. Ismailov

“…Statistical analysis and data visualization were performed in Statistica 13.3 and PAST 4.0.Results. …”
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ANALYSIS OF THREE-DIMENSIONAL SPATIAL STRUCTURES IN ARCHAEOASTRONOMY: 3D MODEL OF THE ROCK-CUT MONUMENT “BELINTASH“, BULGARIA by Ognyan OGNYANOV, Penka MAGLOVA, Alexey STOEV

“…<p>The report presents the visualization and analysis of threedimensional spatial data taken with a drone photograph of the rock-cut monument “Belintash”, near the village of Mostovo, Asenovgrad Municipality, Bulgaria. …”
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Fraction Understanding in Children: Bibliometric Analysis by Novina Sabila Zahra, Nadila Apriola Susanto, Bernadeta Yosefani Anugrahastuti, Nur Amalina Naada Sabrina, Supra Wimbarti

“…The data were sourced from the Scopus journal database, encompassing 228 articles from 1975 to 2023. …”
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Systems approach for congruence and selection of cancer models towards precision medicine. by Jian Zou, Osama Shah, Yu-Chiao Chiu, Tianzhou Ma, Jennifer M Atkinson, Steffi Oesterreich, Adrian V Lee, George C Tseng

“…Here, we present Congruence Analysis and Selection of CAncer Models (CASCAM), a statistical and machine learning framework for authenticating and selecting the most representative cancer models in a pathway-specific manner using transcriptomic data. CASCAM provides harmonization between human tumor and cancer model omics data, systematic congruence quantification, and pathway-based topological visualization to determine the most appropriate cancer model selection. …”
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An Eigenspace approach for detecting multiple space-time disease clusters: Application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan. by Sami Ullah, Hanita Daud, Sarat C Dass, Hadi Fanaee-T, Alamgir Khalil

“…The EigenSpot algorithm has been recently proposed for detecting space-time disease clusters of arbitrary shapes with no restriction on the distribution and quality of the data, and has shown some promising advantages over the state-of-the-art methods. …”
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Digital health applications in Germany: Explorative pilot study on the challenges of approval from the perspective of manufacturers by Omed Ataiy, Mia Burniki, Keywan Sohrabi, Volker Groß, Michael Scholtes, Florian Schudt

“…The survey design is based on the German digital health application regulation and the digital health application guideline. Data collection via LimeSurvey and HubSpot and data visualization in bar charts. …”
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Treatment Strategy Options in Inoperable Chronic Thromboembolic Pulmonary Hypertension Patients by N. V. Marukyan, M. A. Simakova, D. D. Zubarev, O. M. Moiseeva

“…The review presents the data of the post hoc analysis of the CHEST-1 study and the data of real clinical practice of the use of riociguat in combination with the endovascular method of treatment on the example of the leading expert groups in Europe, who demonstrated in their studies the positive effect of riociguat on the hemodynamic parameters and the frequency of perioperative complications.…”
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Methodology of satellite microwave diagnostics of latitudinal-zonal and seasonal variations of frozen soil and sea ice by V. V. Melentiev, I. V. Matelenok

“…In the frame of the work we have had investigated the utility of 6.9GHz dual polarization passive microwave data from the sensor AMSR-E for quantitative assessment of spatial and temporal variations of permafrost, seasonally frozen grounds and sea ice properties along the transect 70° E in 2005–2008 years. …”
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Latent Space Representation of Human Movement: Assessing the Effects of Fatigue by Thomas Rousseau, Gentiane Venture, Vincent Hernandez

“…Our findings indicate that the AAE models are effective in reducing data dimensionality, allowing for the visualization of fatigue’s impact within a 2D latent space. …”
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User Influence, Hashtag Trends, and Engagement Patterns: Analyzing Social Media Network Dynamics in Tourism Using Graph Analytics by Mohammad Abul Basher Rasel, MD Rahimul Islam, Pritam Chandra Das, Sushant Saini

“…The present research offers a data-driven approach for facilitating the significance of integrating social media strategies with network externalities for tourism operators.…”
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A streamlined GIS interface for Citizen Science activities: QGIS Light by S. Girgin, J. Gohil, I. Mydur

“…To support this broader participation, user-friendly and accessible tools for data visualization and analysis are essential. This study addresses this need in geospatial tools by introducing QGIS Light, a simplified version of the most widely used free and open-source desktop GIS software, QGIS. …”
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Avocado fruit sorting by hyperspectral images by D. A. Metlenkin, R. A. Platova, Yu. T. Platov, O. V. Fedoseenko, O. V. Sadkova

“…The decomposition of the data matrix of HSIs of avocado fruits was carried out using the principle component analysis. …”
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Information Fusion of Infrared Images and Vibration Signals for Coupling Fault Diagnosis of Rotating Machinery by Tangbo Bai, Jianwei Yang, Dechen Yao, Ying Wang

“…In this paper, an improved machinery fault diagnosis technique based on information fusion of infrared images and vibration signals is studied, to have better utilization of multisource sensors and to solve the problems when one single type of data is separately used. Firstly, data enhancement for infrared images and data visualization for vibration are performed on the dataset by using the principle of graphics and Short-Term Fourier Transform, which increases the diversity of the dataset and enhances the generalization ability of the model. …”
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A text mining-based approach for comprehensive understanding of Chinese railway operational equipment failure reports by Xiaorui Yang, Honghui Li, Yi Xu, Nahao Shen, Ruiyi He

“…This network architecture is used to classify specific entities in the unstructured data of failure reports. Finally, a knowledge graph (KG) is constructed using the Neo4j database to store and visualize the extracted ROEF-related entities and relationships. …”
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Assessing the impact of introductory programming workshops on the computational reproducibility of biomedical workflows. by Ariel Deardorff

“…The qualitative interviews revealed that several participants had made small changes to their workflows including switching to open source programming languages for their data cleaning, analysis, and visualization. Overall many of the participants indicated higher levels of programming literacy, and an interest in further training. …”
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PyBootNet: a python package for bootstrapping and network construction by Shayan R. Akhavan, Scott T. Kelley

“…PyBootNet includes functions for data preprocessing, bootstrapping, correlation matrix calculation, network statistics computation, and network visualization. …”
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AIoT Monitoring for Early Identification of Diseases in Grapevines: Complete Study by Mihaela Hnatiuc, Domnica Alpetri, Sorin-Robertino Sintea, Bogdan Hnatiuc, Gabriel Margarit Raicu, Mirel Paun, Ionica Dina

“…Cloud computing facilitates data processing and real-time visualization, allowing farmers to make timely, data-driven decisions for disease control. …”
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