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Predicting Energy and Emissions in Residential Building Stocks: National UBEM with Energy Performance Certificates and Artificial Intelligence
Published 2025-01-01“…Applied to the case study of Spain, the nUBEM leverages open data from energy performance certificates (EPCs), cadastral records, INSPIRE cadastre data, digital terrain models (DTM), and national statistics, all aligned with European directives, ensuring adaptability across EU member states with similar open data frameworks. …”
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42
Dynamic Analysis of Tapered Thin-Walled Beams Using Spectral Finite Element Method
Published 2019-01-01“…Then, the differential transform method (DTM) is applied to obtain the semianalytical solutions in order to formulate the spectral finite element. …”
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43
Comparisons and Analyses of Thermospheric Mass Densities Derived from Global Navigation Satellite System–Precise Orbit Determination and an Ionization Gauge–Orbital Neutral Atmosph...
Published 2024-12-01“…However, the hemispheric asymmetry is almost absent in simulations from the NRLMSISE-00 and DTM94 models compared with observations. At high latitudes, density enhancements of observations and simulations are shown, characterized by periodic bulge structures. …”
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44
Dissolved Gas Analysis for Fault Prediction in Power Transformers Using Machine Learning Techniques
Published 2024-12-01“…One of the most favored methodologies for transformer fault diagnostics is based on dissolved gas analysis (DGA) techniques, including the Duval triangle method (DTM), the Doernenburg ratio method (DRM), and the Rogers ratio method (RRM), which are suitable for on-line diagnosis of transformers. …”
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45
Spinal Cord Stimulation for Refractory Angina Pectoris: Current Status and Future Perspectives, a Narrative Review
Published 2025-01-01“…Novel stimulation modalities, including high-frequency, Burst, and Differential Target Multiplexed (DTM), show potential advantages in enhancing patient comfort and clinical outcomes. …”
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46
Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of...
Published 2025-01-01“…The input features for ML model training comprise spectral, structural, and texture feature types generated from multispectral orthomosaics (spectral features), Digital Terrain and Surface Models (DTM/DSM- structural features), and Gray-Level Co-occurrence Matrix (GLCM) calculations (texture features). …”
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Impact of Thermospheric Mass Density on the Orbit Prediction of LEO Satellites
Published 2020-01-01“…The present study investigates the quantitative impact of periodic spatiotemporal TMD variations modulated by the empirical DTM2013 model. Also considered are two small‐scale variations, that is, the equatorial mass anomaly and the midnight density maximum, which are reproduced by the Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model. …”
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48
FathomDEM: an improved global terrain map using a hybrid vision transformer model
Published 2025-01-01“…In addition to improving on other global DEMs, FathomDEM also has reduced error compared to coastal-focussed DEMs such as the recent DeltaDTM. This demonstrates its impressive capacity to perform for specific landscapes, while being trained globally to model a wide range of terrain types. …”
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49
Revisiting Cosa (Ansedonia, Italy): contributions of SAR-X images from the PAZ satellite to non-invasive archaeological prospecting
Published 2024-07-01“…As an addition, the Digital Terrain Model (DTM) Light Detection And Ranging (LiDAR) of the Region of Tuscany was used, on which various functions of the Relief Visualization Tool (RVT) programme have been applied, complementing or contrasting the results. …”
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Flood risk vulnerability assessment using GIS and hydraulic modeling, case study of the Fez river watershed, Morocco
Published 2025-01-01“…The main sources of information are topographic map, geological map, hydrometeorological data, digital terrain model (DTM), land use, etc. 2D and 3D hydraulic modeling using HEC-RAS software, allowed the mapping and analysis of floodplains. …”
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51
Fotobiomodulación vascular en el tratamiento de niños con transtornos temporomandibulares
Published 2024-12-01“… Objetivos: Este ensayo clínico tiene como objetivo verificar si el uso de fotobiomodulación vascular (FBMV) es capaz por su efecto sistémico de disminuir los signos y la sintomatología de los niños con TMD, si la FBMV influye en la reducción del dolor y aumenta la amplitud de movimiento en la apertura y cierre bucal en niños y adolescentes con DTM. Métodos: Este ensayo que es ciego, randomizado controlado se realizó a niños entre 6 y 9 años que ingresaron a la Universidad Católica del Uruguay Facultad de Ciencias de la Salud, Escuela de Posgrado y escuelas con convenio con la Universidad Católica del Uruguay, que presentaron TMD, basados en los Criterios Diagnóstico para Trastornos Temporomandibulares modificado para niños y adolescentes (DC/TMD) y usando la escala visual analógica que es un buen instrumento para medir la intensidad de dolor en niños, siendo el más usado. …”
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