A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…It is well known that test data of mechanical behavior of concrete show great scatterness. …”
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Optimization algorithm of power system line loss management using big data analytics by Yang Li, Danhong Zhang, Ming Tang

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A causal model of human growth and its estimation using temporally sparse data by John A. Bunce, Catalina I. Fernández, Caissa Revilla-Minaya

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A data Mining Approach using CNN and LSTM to Predict Divorce before Marriage by Touba Torabipour, Safieh Siadat, Hosein Taghavi

“…One of the effective solutions to reduce divorce in society is to review the background of the couple, which can provide valuable experiences to experts, and used by experts and family counselors. In this article, a method has been proposed that uses data mining and deep learning to help family counselors to predict the outcome of marriage as a practical tool. …”
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Accurate influenza forecasts using type-specific incidence data for small geographic units. by James Turtle, Pete Riley, Michal Ben-Nun, Steven Riley

“…Influenza incidence forecasting is used to facilitate better health system planning and could potentially be used to allow at-risk individuals to modify their behavior during a severe seasonal influenza epidemic or a novel respiratory pandemic. …”
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Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…This research aims to develop a hybrid machine learning model combining Long-Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN) to classify and analyze defensive basketball strategies, specifically identifying switch and trap plays. The study uses large-scale tracking data to understand the team’s defensive behavior better. …”
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Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift by Vladimir Zh. Kuklin, Naur Z. Ivanov, Alexander N. Muranov, Islam A. Alexandrov, Elena Yu. Linskaya

“…To reduce the influence of data drift, the authors suggest using adaptive learning with a teacher and reinforcement, which helps to work even with small and unrepresentative data samples. …”
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Electrical Model Analysis for Bifacial PV Modules Using Real Performance Data in Laboratory by Valentina González Becerra, Patricio Valdivia-Lefort, Rodrigo Barraza, Jesús García García

“…In the first case, each face of the module is illuminated separately, while in the latter, the incident frontal illuminating light is reflected on a reflective surface. Experimental data obtained from these measurements are used to evaluate three different approximations for bifacial IV curve models in the case of double-sided illumination. …”
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Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data by Donik Vrsnak, Marko Subasic, Sven Loncaric

“…A backdoor attack is a type of attack where hidden triggers are added to the input data during training, with the goal of changing the behavior of the model during inference. …”
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Magnetic Activities of Wolf 359: Starspot Distribution and Quasiperiodic Pulsation Using TESS Data by Diya Ram, Soumen Mondal, Samrat Ghosh, Rajib Kumbhakar

“…We studied the distribution of starspots and flaring activities of Wolf 359 to understand its stellar atmosphere and magnetic activities. Using 2 minute short-cadence Transiting Exoplanet Survey Satellite (TESS) data on this highly active star, we found 48, 46, and 32 flares in Sectors 45, 46, and 72, respectively. …”
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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…While physics-driven GT models integrate thermodynamics, fluid dynamics, and combustion principles, they often rely on approximate mathematical representations to accommodate scaling that may not capture the actual complex dynamics for GTs and inertial effects associated to GTs with different ratings. In this study, a data-driven model is proposed using machine learning (ML) techniques to conduct GT scalability analysis and performance evaluation with high accuracy. …”
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Bridge Deformation Prediction Using KCC-LSTM With InSAR Time Series Data by Zechao Bai, Chang Shen, Yanping Wang, Yun Lin, Yang Li, Wenjie Shen

“…We validate the proposed approach using time-series data from 100 X-band TerraSAR-X images, acquired from 13 April 2010 to 13 December 2019. …”
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Selective imitation for efficient online reinforcement learning with pre-collected data by Chanin Eom, Dongsu Lee, Minhae Kwon

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Can Land Transfer-In Improve Farmers’ Farmland Quality Protection Behavior? Empirical Evidence from Micro-Survey Data in Hubei Province, China by Sheng Xu, Yu Xiao, Lu Zhang, Caiyan Yang, Xichuan Liu

“…To achieve this, the study empirically estimates the impact of land transfer-in on farmers’ behaviors in protecting cultivated land quality using micro-survey data from 743 households in Hubei Province, while addressing endogeneity and conducting robustness checks. …”
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Predicting financial default risks: A machine learning approach using smartphone data by Shinta Palupi, Gunawan, Ririn Kusdyawati, Richki Hardi, Rana Zabrina

“…This study leverages machine learning (ML) techniques to predict financial default risks using smartphone data, providing a novel approach to financial risk assessment. …”
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Using immunization registry data to explore initiation of HPV vaccination at ages 9 and 10 by Grace W. Ryan, Amanda Kahl, Emily Janio, Bethany Kintigh, Don Callaghan, Natoshia M. Askelson

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Segmentation of Leukoaraiosis on Noncontrast Head CT Using CT‐MRI Paired Data Without Human Annotation by Wi‐Sun Ryu, Jae W. Song, Jae‐Sung Lim, Ju Hyung Lee, Leonard Sunwoo, Dongmin Kim, Dong‐Eog Kim, Hee‐Joon Bae, Myungjae Lee, Beom Joon Kim

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STRUCTURAL STYLE OF WABI FIELD, OFFSHORE NIGER DELTA NIGERIA, USING SEISMIC AND WELL-LOG DATA by Amakiri, S., Uko, E. D, Tamunobereton-ari

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TECTONOSTRATIGRAPHIC RESPONSE TO FAULTING IN RED BED ENVIRONMENT USING LIDAR DATA: THE ABU ZENIMA FORMATION SINAI by Auwalu Yola Lawan, Abdullah Musa Ali, Byami Andrew Jolly

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Using 14 Years of Satellite Data to Describe the Hydrodynamic Circulation of the Patras and Corinth Gulfs by Basile Caterina, Aurélia Hubert-Ferrari

“…In the Gulf of Corinth, the lack of in situ information was addressed using 14 years of satellite data from the Copernicus database to investigate the water circulation dynamics of the Gulfs of Patras and Corinth. …”
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