Efficient Computation of the <italic>K</italic> Nearest Neighbors Query Using Incremental Radius on a <italic>k</italic>&#x00B2;-tree by Rodrigo Torres-Aviles, Monica Caniupan

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Stronger compact representations of object trajectories by Adrián Gómez-Brandón, Gonzalo Navarro, José R. Paramá, Nieves R. Brisaboa, Travis Gagie

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Custom WordPress Plugin for Native-Like Digital Health Literacy Questionnaires: Supporting the ALSATION Study by Ștefan SECRIERU

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The Effects of Fiscal Amnesty Programs on the Tax System in Türkiye by Ferdi Çelikay, Alpaslan Doğankollu

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Impact of 3D Digitising Technologies and Their Implementation by Paula Triviño-Tarradas, Diego Francisco García-Molina, José Ignacio Rojas-Sola

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Sensing Techniques for Structural Health Monitoring: A State-of-the-Art Review on Performance Criteria and New-Generation Technologies by Ali Mardanshahi, Abhilash Sreekumar, Xin Yang, Swarup Kumar Barman, Dimitrios Chronopoulos

“…Recognizing these challenges, we explore next-generation advancements such as self-sensing structures, unmanned aerial vehicle deployment, IoT-enabled data fusion, and enhanced Digital Twin simulations. …”
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Structural and Rural Transformations and Poverty Reduction in Developing Asian Economies: An International Comparison Among China, the Philippines, and Vietnam by Qiu Chen, Jikun Huang, Mercedita A. Sombilla, Trang Truong

“…Based on a comparison with the provincial data from those three countries, both the graphic and regression analysis suggest that structural and rural transformations matter in rural poverty reduction in these three countries. …”
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A reliable mixed-integer linear programming formulation for data-driven model predictive control in buildings by Peter Klanatsky, François Veynandt, Christian Heschl

Subjects: “…Optimization problem formulation with Mixed-Integer Linear Programming for Data-driven Model Predictive Control of buildings with Thermally Activated Building Structures and shading system…”
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Legend Categories and Structure in Nagari Sungai Limau Dharmasraya District and Its Implications for Indonesian Language Learning by Ahmad Fauzi, Nurizzati Nurizzati

“…Data analysis techniques are carried out by classifying or grouping data, analyzing categories and legend structures, drawing conclusions from the entire research work process, and compiling and reporting research results. …”
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3D Visualization Method for Surface Defects of Underwater Structures Based on Acoustic and Optical Combination Measurement by Xiang WANG, Jinchao WANG, Houcheng LIU, Wanpeng SONG, Shuqi LI

“…Finally, a three-dimensional visualization system for surface defects of underwater structures is developed by constructing a texture feature image enhancement algorithm, synchronously utilizing sound and light combination data. …”
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Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning by Van-Phuong Ha, Dinh-Van Nguyen, Trong-Chuong Trinh, Duc-Cuong Quach, Van HuyBui

“…To validate the proposed method, nearly seven years of sensor data collected from a critical section of a dam structure were used. …”
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A Study of Practical Proxy Reencryption with a Keyword Search Scheme considering Cloud Storage Structure by Sun-Ho Lee, Im-Yeong Lee

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A Refinement Reconstruction Method for Indoor Structures Based on 3D Point Cloud Template Matching by B. Cai, S. Tang, W. Wang, L. Xie, X. Li, R. Guo

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StructureNet: Physics-Informed Hybridized Deep Learning Framework for Protein–Ligand Binding Affinity Prediction by Arjun Kaneriya, Madhav Samudrala, Harrish Ganesh, James Moran, Somanath Dandibhotla, Sivanesan Dakshanamurthy

“…StructureNet improves existing DL methods by focusing entirely on structural descriptors to mitigate data memorization issues introduced by sequence and interaction data. …”
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Seismic Facies Classification of Salt Structures and Sediments in the Northern Gulf of Mexico Using Self-Organizing Maps by Silas Adeoluwa Samuel, Camelia C. Knapp, James H. Knapp

“…SOM Models 1 and 2, which combined geometric, spectral, and amplitude-based attributes, were shown to delineate potential storage reservoirs, gas hydrates, salt structures, associated radial faults, and areas with poor data quality due to the presence of the salt structures more than SOM Models 3 and 4. …”
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GEOMAPLEARN 1.2: detecting structures from geological maps with machine learning – the case of geological folds by D. Oakley, D. Oakley, C. Loiselet, T. Coowar, T. Coowar, V. Labbe, J.-P. Callot

“…<p>The increasing availability of large geological datasets and modern methods of data analysis facilitate a data science approach to geology in which inferences are drawn from geological data using automated methods based on statistics and machine learning. …”
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Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures by Michał M. Buczek

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Spatiotemporal tensor analysis for effective information mining of hydraulic structures considering environmental excitation and vibration response by Hui Li, Zhang Han, Tengfei Bao, Xiaohan Duan, Guang Yang, Xianyu Xiong, Yibo Ouyang, Jiankang Lou

“…Abstract The vibration response data is a key foundation of vibration-based hydraulic structures’ online damage diagnosis. …”
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Features of the geological structure, tectonic development and oil and gas potential of the Chezhen depression (Bohai bay basin) by Sh. Qiu, N. A. Kasyanova

“…A comprehensive analysis of literature data and collected materials was conducted. A historical and geodynamic study of the evolution of the studied area according to literature data was carried out, along with an analysis of the most recent geological and geophysical information and exploration data based on the materials of the “Shengli AKOO Sinopek” oil company. …”
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Conceptual modeling of the structure of a geoinformation system for formation of land plots in state and municipal ownership of settlements by Tetiana Bukhalska, Oleksandr Yanchuk, Viktor Moshynskyi, Anatolii Lishchynskyi

“…The developed conceptual model and topology verification model are the basis for physical data modeling and allow ensuring the principle of interoperability in the Spatial Data Infrastructure. …”
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