The Discovery of Buried Archaeological Structures at Saepinum and the Villa of Neratii (Valley of Tammaro River, Italy) Through Data-Adaptive Probability-Based Electrical Resistivity Tomography Using the Tensorial Acquisition Mode by Andrea Capozzi, Marilena Cozzolino, Federica Fasano, Vincenzo Gentile, Paolo Mauriello

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Association of radiographic structure deformity phenotypes of knee OA to clinical symptoms and risk for progression: Proposing a modification of Kellgren-Lawrence grade - Data from the Osteoarthritis Initiative and the MOST study by Sunho Ko, Yunhee Choi, Hyuk-Soo Han, Seong Hwan Kim, Du Hyun Ro

“…Design: We used radiographic grading data provided by the OAI and MOST study. Decision tree was used to (1) Find OARSI grade criteria for each KLG and (2) Phenotype early osteoarthritic knees (=KLG1, 2) by the radiographic structure changes. …”
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Integration of airborne gamma-ray spectrometry and remote sensing data for mapping of gold-bearing structures in the Doropo region, Northeastern Côte d’Ivoire (Southern part of West African Craton) by Ziandjêdé Hervé Siagné, Alain Nicaise Kouamelan, Wilfried Digbeu, Tahar Aïfa, N’Guessan Nestor Houssou, Koffi Alexis N’dri, Ouattara Gbele

“…Furthermore, the Landsat 8 OLI data processing highlighted mainly structural trends oriented NW-SE, NE-SW and E-W, which were recognised in the field as fractures, shear zones and faults. …”
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Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

“…Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR) cannot contribute to reliability-based design due to absent uncertainty quantification (UQ), thus hampering broader applications. …”
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Advancing smart tourism destinations: A case study using bidirectional encoder representations from transformers‐based occupancy predictions in torrevieja (Spain) by José Ginés Giménez Manuel, José Giner Pérez de Lucia, Marco Antonio Celdrán Bernabeu, José Norberto Mazón López, Juan Carlos Cano Escribá, José María Cecilia Canales

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Rockfall Mapping and Monitoring Across the Kalymnos Sport Rock Climbing Sites, Based on Ultra-High-Resolution Remote Sensing Data and Integrated Simulations by Emmanuel Vassilakis, Aliki Konsolaki, Konstantinos Soukis, Sofia Laskari, Evelina Kotsi, John Lialiaris, Efthymios Lekkas

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UAV photogrammetry for red tide monitoring and geo-localization via onboard GNSS/IMU data by Mengran Yang, Yichen Ma, San Jiang, Cheng Yin, Wei Huang

“…However, traditional photogrammetric processing workflows, e.g. SfM (Structure from Motion) and MVS (Multi-view Stereo) based image orientation and dense matching, do not apply to offshore images due to the low texture of ocean color. …”
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Improved estimation of soil organic carbon stock in subtropical cropland of Southern China based on digital soil mapping and multi-sources data by Bifeng Hu, Qian Zhu, Modian Xie, Yibo Geng, Yali Wen, Shuhan Peng, Yanru Qiu, Xiya Jin, Pengbo Zhang, Hongyi Li, Zhou Shi

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A Data-Synthesis-Driven Approach to Recognize Urban Functional Zones by Integrating Dynamic Semantic Features by Xingyu Liu, Yehua Sheng, Lei Yu

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Structured insight: an innovative disambiguation paradigm for semi-supervised partial label learning by Xin Niu, Jing Chai, Musaed Alhussein, Khursheed Aurangzeb

“…However, many SPLL methods adopted unique disambiguation strategy to tackle both partial label data and unlabeled data, which often fail to account for the intrinsic structural differences between partial label data and unlabeled data, resulting in suboptimal disambiguation and degraded performance. …”
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An Intelligent Monitoring System for the Safety of Building Structure under the W2T Framework by Haiyuan Wang, Zhisheng Huang, Ning Zhong, Jiajin Huang, Yuzhong Han, Feng Zhang

“…Monitoring systems for the safety of building structure (SBS) can provide people with important data related to main supporting points in a building and then help people to make a reasonable maintenance schedule. …”
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THE ADVANTAGES OF THE DISTRIBUTION FUNCTION AS A METHOD OF GRAPHICAL REPRESENTATION OF THE ECONOMIC STRUCTURE OF SOCIETY by V. A. Kapitanov, A. A. Ivanova, A. Yu. Maksimova

“…The presence of features in the economic structure of society must be reflected in the qualitative behavior of the curves. …”
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Detecting Urban Mobility Structure and Learning Functional Distribution with Multi-Scale Features by Jia Li, Chuanwei Lu, Haiyan Liu, Jing Li, Dewei Zhou, Qingyun Liu

“…However, existing methods have limitations in handling complex urban data and capturing global spatial structure features. …”
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Statistically Generated Weighted Curve Fit of Residual Functions for Modal Analysis of Structures by Paul Stanley Bookout

“…A weighting function of the data is generated by examining the variances between neighboring data points. …”
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Retracted: Internet of Things Health Detection System in Steel Structure Construction Management by Qinglin Liu, Yongjiang Zhu, Xiongzhou Yuan, Jian Zhang, Rui Wu, Qianwen Dou, Song Liu

“…It is concluded that the time series model established in this study can objectively reflect the change trend and law of strain data, has certain prediction accuracy, and has certain value significance for monitoring data analysis and construction management of steel building structures.…”
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An open-source platform for structured annotation and computational workflows in digital pathology research by Luca Lianas, Mauro Del Rio, Luca Pireddu, Oskar Aspegren, Francesca Giunchi, Michelangelo Fiorentino, Simone Leo, Renata Zelic, Per Henrik Vincent, Nicolas Destefanis, Daniela Zugna, Lorenzo Richiardi, Andreas Pettersson, Olof Akre, Francesca Frexia

“…However, currently available open-source annotation tools typically employ single-label approaches that provide a flat representation of whole-slide images (WSI), limiting their ability to capture the complexity of the diagnosis-significant elements in a detailed and structured way. Furthermore, the difficulty of strictly following precise review protocols and lack of provenance tracking during annotation processes can result in high variability and limit reproducibility and reusability of the collected data. …”
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Feasibility study of structured diagnosis methods for functional dyspepsia in Korean medicine clinics by Jeong Hwan Park, Soyoung Kim, Jae-Woo Park, Seok-Jae Ko, Sanghun Lee

“…Despite the large number of FD patients visiting KM clinics, the accumulated medical records have no utility in evidence development, due to being unstructured. This study aimed to construct a standard operating procedure (SOP) with appropriate structured diagnostic methods for FD, and assess the feasibility for use in KM clinics. …”
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Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning by Alfredo Ordinola, David Abramian, Magnus Herberthson, Anders Eklund, Evren Özarslan

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Predictive Technology Assessment by Means of a Structure-Based Method of Machine Learning by Manja Mai-Ly PFAFF, Uwe FRIEß, Andreas OTTO, Matthias PUTZ

“…Based on this algorithm, correlation considerations can be performed on the data structure, the measured variables, and the diagnostic parameters. …”
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Multi-temporal crack segmentation in concrete structures using deep learning approaches by S. Harb, P. Achanccaray Diaz, M. Maboudi, M. Gerke

“…These results suggest that temporal information significantly improves the performance of segmentation models, offering a promising solution for improved crack identification and long-term monitoring of concrete structures, even with limited sequential data.…”
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