NEW INSIGHT INTO THE STRUCTURAL MODEL IN SOUTHERN SUMATRA INDONESIA USING GRAVITY AND MAGNETIC DATA: IMPLICATIONS FOR GEOTHERMAL RESOURCES by Irfan Prasetyo, Wawan Gunawan Abdul Kadir, Dadi Abdurrahman, Darharta Dahrin, Khalil Ibrahim, Andri Kurniawan

“…The integration of gravity and magnetic data reveals new relationships between tectonic structures in the GSF zone and previously unexplored geothermal potential.…”
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Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education by Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran

“…Our research investigates the impact of structured prompt training on students' learning in data analysis and programming. …”
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THE STRUCTURE AND HISTORY OF ABYSSAL HILLS OF THE NORTH-WESTERN PACIFIC PLATE FROM CONTINUOUS SEISMIC PROFILING AND STRATIGRAPHIC DATA by V. L. Lomtev

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Local structure of solid and liquid gold probed by reverse Monte Carlo analysis of X-ray absorption data by Nodoka Hara, Fabio Iesari, Toshihiro Okajima, Andrea Di Cicco

“…The increase in computational capabilities of modern computers has allowed us to develop new accurate methods for EXAFS (extended X-ray absorption fine structure) data-analysis. In particular, the RMC-GNXAS package provides models of the three-dimensional structure applying the reverse Monte Carlo (RMC) method to EXAFS of condensed or molecular systems. …”
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Leveraging LLMs for optimised feature selection and embedding in structured data: A case study on graduate employment classification by Radiah Haque, Hui-Ngo Goh, Choo-Yee Ting, Albert Quek, M.D. Rakibul Hasan

“…The primary objective is to determine whether converting structured data into text format improves model accuracy. …”
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Automated Collection Planning for Civilian and Commercial Satellite Imagery, and Definition and Exploitation of the Collection Asset Specification Data Structure by Jeff Secker, Katerina Biron, Dany Dessureault, Pierre Lamontagne, Rodney Rear

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Biomass prediction of Typha latifolia on a paludiculture site by combining structural and spectral features from UAS data by Christina Hellmann, Bernd Bobertz, Fabian Hübner, Nora Köhn, Jürgen Kreyling, Sebastian van der Linden

“…As single UAS surveys offer both structural and spectral information, UAS data will contribute to precise biomass and vegetation monitoring at high spatial resolution in upcoming rewetting efforts.…”
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Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

“…It supports landscape-scale habitat analysis and contributes to the standardization of vegetation metrics from ALS data for site-specific ecological monitoring (e.g., Natura 2000). …”
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Structural mapping for groundwater occurrence using remote sensing and geophysical data in Ilesha Schist Belt, Southwestern Nigeria by Stephen Olubusola Ilugbo, Isaac Aigbedion, Kesyton Oyamenda Ozegin

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Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

“…Therefore, imputing missing values is necessary to maintain the integrity and utility of the SHM data. This research work investigates the use of Gaussian Process Regression (GPR) for imputing missing data in ordered time series. …”
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Structuring data analysis projects in the Open Science era with Kerblam! [version 1; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

“…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study by Charlotte A W Albers, Yvonne Wieland-Jorna, Martine C de Bruijne, Martin Smalbrugge, Karlijn J Joling, Marike E de Boer

“…The findings will be used to formulate recommendations aimed at enhancing standardized and structured data recording for the reuse of EHR data. …”
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Integrated structural analysis for geothermal exploration: A new protocol combining remote sensing and aeromagnetic geophysical data by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Pantelis Soupios

“…The approach integrates surface data from remote sensing and data from airborne magnetic geophysical surveys that provide information on the subsurface structures, to analyze structural lineament density analysis, orientation, and high permeable zones, and assess geothermal potential. …”
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Debiasing Structure Function Estimates from Sparse Time Series of the Solar Wind: A Data-driven Approach by Daniel Wrench, Tulasi N. Parashar

“…However, many real-world data sets, such as those from spacecraft monitoring the solar wind, contain gaps, which inevitably corrupt the statistics. …”
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Grain Protein Function Prediction Based on CNN and Residual Attention Mechanism with AlphaFold2 Structure Data by Jing Liu, Xinping Zhang, Kai Huang, Yuqi Wei, Xiao Guan

“…The experimental results indicate that secondary structure and spatial structure information contribute to improving model performance. …”
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Crashworthiness simulation dataset of re-entrant crash box with combined in-plane and out-of-plane filling structureMendeley Data. by Arif Rochman Fachrudin, Moch. Agus Choiron, Anindito Purnowidodo, Yudy Surya Irawan

“…This dataset serves as a reference for analyzing crashworthiness in re-entrant structured crash box and can support further investigations on the crashworthiness of lightweight structural components.…”
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Data on behavioural intention to use AI copilot through TAM and AI ecological education policy lensMendeley Data by Emelie C. Villaceran, Celbert M. Himang

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Structure and nodal points of Smart City infrastructure by Magdalena Grochulska-Salak, Tomasz Wężyk

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Welding Image Data Augmentation Method Based on LRGAN Model by Ying Wang, Zhe Dai, Qiang Zhang, Zihao Han

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