Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…Abstract The integration of Artificial Intelligence techniques, particularly Artificial Neural Networks (ANNs), has transformed predictive modeling in structural and durability engineering. This study investigates the use of ANN-based approaches to predict the corrosion rates of mild steel reinforcement embedded in cementitious composites subjected to clay-dominated soil environments. …”
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Hot Structure Flight Data of a Faceted Atmospheric Reentry Thermal Protection System by Hannah Boehrk, Hendrik Weihs, Henning Elsäßer

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STUDY OF GULLY EROSION OF KAND STRUCTURE NW OF IRAQ BY USING REMOTE SENSING DATA by Mohammed Younis Salim Al-Allaf

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Combining satellite and field data reveals Congo's forest types structure, functioning and composition by Juliette Picard, Maïalicah M. Nungi‐Pambu Dembi, Nicolas Barbier, Guillaume Cornu, Pierre Couteron, Eric Forni, Gwili Gibbon, Felix Lim, Pierre Ploton, Robin Pouteau, Paul Tresson, Tom vanLoon, Gaëlle Viennois, Maxime Réjou‐Méchain

“…We also described vegetation type structure and composition (floristic, functional and associated fauna) by linking the map with data from large inventories and derived from satellite images. …”
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Application Possibilities of Orthophoto Data Based on Spectral Fractal Structure Containing Boundary Conditions by József Berke

“…In the case of complex image data structures defined in different metric spaces, their measurement in metric space encounters many difficulties. …”
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Framework for investigating structure cracking using real engineering data combined with physics constraints by Han Si, Qidi Wang, Xin Ruan, Xingpo Fang

“…Traditional analysis methods based on simplified physical mechanisms cannot accurately characterize the structural condition and neglect the value of the large amount of data generated during the construction process. …”
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Rescaling and Transforming Continuous Non-Normal Data in Covariance Structure Analysis: An Essay of Taxonomy by Jean-Pierre Lévy Mangin, Arantxa Sulé Alonso

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Data-driven predictive model of coal permeability based on microscopic fracture structure characterization by Tianhao Yan, Xiaomeng Xu, Jiafeng Liu, Yihuai Zhang, Muhammad Arif, Xiaowei Xu, Qiang Wang

“…Owing to the inherent heterogeneity and complex internal structure of coal, a well-established method for predicting permeability based on microscopic fracture structures remains elusive. …”
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Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

“…The approach is based on component‐level, depth–damage curves derived from experimental analysis. Structures with standard residential construction materials typical to the south‐eastern United States were built and incrementally flooded for short durations. …”
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Gliclazide MR in the structure of antihyperglycemic therapy according to the data of Moscow region diabetes register by I. V. Misnikova, Yu. A. Kovaleva, V. A. Gubkina, A. V. Dreval

“…This requires clarification.Aim: To examine Moscow Region DM register data for assessing ongoing antihyperglycemic therapy and its correspondence to current local and international T2DM treatment recommendations, as well as actual clinical recommendations for the treatment of T2DM patients and COVID-19.Materials and methods: The structure of glucose-lowering therapy with non-insulin drugs (NID) was studied in T2DM patients according to the data T2DM register of Moscow region. …”
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Delineation of Subsurface Structures Using Gravity Data of the Shallow Offshore, Lamu Basin, Kenya by Dennis Ombati, John Githiri, Maurice K'Orowe, Erick Nyakundi

“…Gravity interpretation techniques such as spectral analysis and first horizontal derivative were applied to the reduced gravity data to delineate and model structures to minimize the high investment risks. …”
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Determination of the structure of the earth's crust by changing the velocity of seismic waves from the earthquake data by B. I. Shakhtarin, T. G. Aslanov, H. D. Magomedov, H. Yu. Tagirov

“…Objective. A study of the structure of the earth's crust by determining the velocities of seismic waves from previously broken sections of the earth's crust.Methods. …”
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Loop Invariants Elimination for Definite Iterations over Unchangeable Data Structures in C Programs by I. V. Maryasov, V. A. Nepomniaschy

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Stock market trading via actor-critic reinforcement learning and adaptable data structure by Cesar Guevara

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Comparison of sequence- and structure-based antibody clustering approaches on simulated repertoire sequencing data. by Katharina Waury, Stefan Lelieveld, Sanne Abeln, Henk-Jan van den Ham

“…A comprehensive comparison of the benefits and limitations of structure-based tools on realistic and diverse repertoire data is missing. …”
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Tensor‐structured decomposition improves systems serology analysis by Zhixin Cyrillus Tan, Madeleine C Murphy, Hakan S Alpay, Scott D Taylor, Aaron S Meyer

“…Here, we report that coupled matrix–tensor factorization (CMTF) can reduce these data into consistent patterns by recognizing the intrinsic structure of these data. …”
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CFD Simulations of Pressure Drop in KATAPAK-S Structured Packing

“…KATAPAK-S is a type of structured catalytic packing, which is used in reactive distillation processes. …”
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Mixing and Power Consumption of Structured Fluids in Stirred Reactors by Giuseppina Montante, Gianluca Boccardo, Nicola Antonio Di Spirito, Nino Grizzuti, Francesco Maluta, Daniele Marchisio, Alessandro Paglianti, Rossana Pasquino

“…This work deals with the fluid dynamics characterization of structured fluids, which are adopted in the preparation and processing of many products in different industrial applications. …”
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A Structured Cleaving Mesh for Bioheat Transfer Application by Rohan Amare, Amir A. Bahadori, Steven Eckels

“…The methodology, based on a structured mesh and finite-volume method, is demonstrated with tumors generated from magnetic resonance imaging (MRI) scans of mice. …”
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On selection dynamics for a nonlocal phenotype-structured model by Bian, Shen, Bu, Jiale

“…This paper is devoted to the analysis of the long-time behavior of a phenotype-structured model in which phenotypic changes do not occur. …”
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