The utility of dynamic forest structure from GEDI lidar fusion in tropical mammal species distribution models by Patrick Burns, Zaneta Kaszta, Samuel A. Cushman, Samuel A. Cushman, Jedediah F. Brodie, Jedediah F. Brodie, Christopher R. Hakkenberg, Patrick Jantz, Mairin Deith, Matthew Scott Luskin, James G. C. Ball, Jayasilan Mohd-Azlan, David F. R. P. Burslem, Susan M. Cheyne, Susan M. Cheyne, Iding Haidir, Iding Haidir, Andrew James Hearn, Eleanor Slade, Peter J. Williams, David W. Macdonald, Scott J. Goetz

“…Moreover, as we examined predictor importance and partial dependence, the utility of GEDI Fusion predictors in hindcast models was evident in regards to ecological interpretability. …”
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Recognition of Underwater Engineering Structures Using CNN Models and Data Expansion on Side-Scan Sonar Images by Xing Du, Yongfu Sun, Yupeng Song, Lifeng Dong, Changfei Tao, Dong Wang

“…Side-scan sonar (SSS) is a critical tool in marine geophysical exploration, enabling the detection of seabed structures and geological phenomena. However, the manual interpretation of SSS images is time-consuming and relies heavily on expertise, limiting its efficiency and scalability. …”
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Deterministic and Stochastic Machine Learning Classification Models: A Comparative Study Applied to Companies’ Capital Structures by Joseph F. Hair, Luiz Paulo Fávero, Wilson Tarantin Junior, Alexandre Duarte

“…Notably, all models delivered statistically similar results in the test sample, emphasizing the need to balance performance, simplicity, and interpretability. …”
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Integrating Large Language Models and Optimization in Semi- Structured Decision Making: Methodology and a Case Study by Gianpaolo Ghiani, Gianluca Solazzo, Gianluca Elia

“…Semi-structured decisions, which fall between highly structured and unstructured decision types, rely on human intuition and experience for the final choice, while using data and analytical models to generate tentative solutions. …”
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THE VELOCITY STRUCTURE OF THE UPPER MANTLE AND REGIONAL DEEP THERMODYNAMICS OF THE BAIKAL RIFT ZONE by Alexander V. Pospeev

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Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models by Mohammad Ennab, Hamid Mcheick

“…This study introduces the Pixel-Level Interpretability (PLI) model, a novel framework designed to address critical limitations in medical imaging diagnostics by enhancing model transparency and diagnostic accuracy. …”
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СONSTRUCTION OF COGNITIVE-DISCURSIVE MODEL OF DIACHRONIC PLURALITY IN TRANSLATION AS INTERPRETATIVE-HEURISTIC ACTIVITY by Yana V. Boiko

“…The purpose of the article is to justify the complex methodology of cognitive-discursive model construction (hereinafter the CDM) of the diachronic plurality in chronologically distant original work translations as an interpretive and heuristic activity. …”
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Simplified FE-Based Post-Earthquake Vulnerability Assessment of a Partially Collapsed Historic Mosque by Rüya Kılıç Demircan

“…This study presents a simulation-based approach to rapidly assess the seismic vulnerability of this partially damaged historic masonry structure. Due to the complexity and urgent condition of such heritage buildings, a simplified finite element (FE) modeling methodology is employed to evaluate structural behavior and support immediate stabilization decisions. …”
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Structure of loop space at finite N by Robert de Mello Koch, Antal Jevicki

“…We extend this analysis to multi-matrix models at finite N. Using the Molien-Weyl formula, we compute partition functions for various multi-matrix models at different N and interpret them through trace relations. …”
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The Postdramatic Structure of Müller’s The Hamlet Machine by Mustafa Çalışkan

“…Müller’s The Hamlet Machine does not correspond to the formal structure of conventional theater known as drama. As a result of the discussions on theatricality, the theater sign system and the organization model of dramatic structure were revised. …”
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Kinematic Characteristics of Deformed Porous Structures by Veselovska N., Sivak R., Paladiychuk Y., Bandura V., Telyatnik I., Bohatiuk M., Savkiv V., Edl M.

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Performance Prediction of the Gearbox Elastic Support Structure Based on Multi-Task Learning by Chengshun Zhu, Zhizhou Lu, Jie Qi, Meng Xiang, Shilong Yuan, Hui Zhang

“…Neural networks offer a powerful means of capturing and interpreting the intricate associations linking structural parameters with performance metrics. …”
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An integrated approach to evaluate the hydrocarbon potential of Jurassic Samana Suk Formation in Middle Indus Basin, Pakistan by Muhammad Armaghan Faisal Miraj, Abid Ali, Hassan Javaid, Pal Washa S. Rathore, Naveed Ahsan, Rana F. Saleem, Sher Afgan, Muhammad B. Malik

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An ISM-based approach to overcoming barriers to adopting next-generation processing and computing technologies in the ceramics and glass manufacturing industries by T. Ibn-Mohammed, N. Bhanot, A.H. Mohammed, C.E.J. Dancer, K. Kirwan

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Factors affecting online customer experience of food delivery services during crisis: TISM and Delphi techniques by Tayebeh Abdoli Mohamadabadi, Javad Nazarian-Jashnabadi, Mahmoud Ahmadpour Daryani, Muhammad Ahmad Al-Rashid, Tiziana Campisi

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Effect of Soil Saturation On Seismic Performance of A Structure: A Numerical Approach by Nadir Karahan, Fatih Göktepe, Erkan Çelebi

“…More specifically, this paper examinesthe effect of the soil saturation leveltaking into account of soil-structureinteraction (SSI) on the structural response. For this purpose, a twodimensional (2D) finite element model was developed with Mohr-Coulomb failurecriterion under plane-strain conditions using geotechnical finite element codePLAXIS. …”
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Competition in mixed Scots pine and Pyrenean oak stands modifies allometry and partially affects biomass allocation during early stand development by Eric Cudjoe, Felipe Bravo, Hans Pretzsch, Pete Bettinger, Ricardo Ruiz-Peinado

“…Here, we destructively sampled 90 trees and then applied ANCOVA to quantify the direct effects of competition on tree structural attributes and biomass allocation. Additionally, we used structural equation modeling (SEM) to evaluate the indirect effects of competition. …”
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5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach by Rafiq Ahmad Khan, Habib Ullah Khan, Hathal Salamah Alwageed, Hussein Al Hashimi, Ismail Keshta

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PhyBaSE: A Bayesian structural equation model approach to causal inference in phylogenetic comparative analyses by Achaz vonHardenberg, Alejandro Gonzalez‐Voyer

“…Abstract One of the main limitations of phylogenetic comparative analyses is that associations between traits can only be interpreted as correlations. Here, we present a novel Bayesian structural equation model (PhyBaSE) which allows us to disentangle direct from indirect relationships among variables to propose potential causal hypotheses while accounting for phylogenetic non‐independence. …”
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A comparative study of voxel-based leaf area density estimation from quantitative structure models of trees by Qiguan Shu, Thomas Rötzer, Hadi Yazdi, Astrid Reischl, Ferdinand Ludwig

“…This study explores the potential of using Quantitative Structure Models (QSM) to predict trees' voxel-based Leaf Area Density (LAD) to reduce the workload and data redundancy in studying deciduous trees. …”
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