Statistical model for assessing the reliability of non-destructive testing systems by solving inverse problems by A. E. Alexandrov, S. P. Borisov, L. V. Bunina, S. S. Bikovsky, I. V. Stepanova, A. P. Titov

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An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost by Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang

“…Correlation analysis and continuous variable projection were employed to identify key inversion factors. …”
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Effects of Inflation, Foreign Direct Investment, Energy Consumption, and Trade Openness on CO2 Emissions: Panel Data Analysis for Developing Countries by Mehmet Emre Ünsal

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A Deep Learning Method for Inversing 3D Temperature Fields Using Sea Surface Data in Offshore China and the Northwest Pacific Ocean by Xiangyu Wu, Mengqi Zhang, Qingchang Wang, Xidong Wang, Jian Chen, Yinghao Qin

“…In recent years, with the rapid development of remote sensing data, deep learning methods have provided new ideas for the reconstruction of ocean information. …”
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HFITS: An analysis tool for calculating heat flux to planar surfaces using infrared thermography by Parham Dehghani, Matthew J. DiDomizio

“…HFITS consists of two main components: pre-processing of infrared thermograms (obtained from heat transfer experiments), and inverse heat transfer analysis (to deduce heat flux over the planar surface in those experiments). …”
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Enhanced Seafloor Topography Inversion Using an Attention Channel 1D Convolutional Network Based on Multiparameter Gravity Data: Case Study of the Mariana Trench by Qiang Wang, Ziyin Wu, Zhaocai Wu, Mingwei Wang, Dineng Zhao, Taoyong Jin, Qile Zhao, Xiaoming Qin, Yang Liu, Yifan Jiang, Puchen Zhao, Ning Zhang

“…Seafloor topography data are fundamental for marine resource development, oceanographic research, and maritime rights protection. …”
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Canopy Chlorophyll Content Inversion of Mountainous Heterogeneous Grasslands Based on the Synergy of Ground Hyperspectral and Sentinel-2 Data: A New Vegetation Index Approach by Yi Zheng, Yao Wang, Tayir Aziz, Ali Mamtimin, Yang Li, Yan Liu

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Optimization and Construction of Jinan Regional Tm Model Based on LSTM and Analysis of Its Influence on the Accuracy of GNSS Inversion PWV by Shukai Wang, Qiuying Guo, Guihong Hua, Yingjun Sun, Wengang Sang, Zhengyu Wang

“…The Tm_L1 and Tm_L2 models developed in this study offer enhanced accuracy for Tm data utilized in GNSS PWV inversion within the Jinan region.…”
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Predictive Deep Learning for High‐Dimensional Inverse Modeling of Hydraulic Tomography in Gaussian and Non‐Gaussian Fields by Quan Guo, Ming Liu, Jian Luo

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Associations between maternal social capital and infant birth weight in three developing countries: a cross-sectional multilevel analysis of Young Lives data by S V Subramanian, Jongho Heo, Juhwan Oh, Hwa-Young Lee, Jessica M Perkins

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River Discharge Derived of Lijiang River Basin Based on Sentinel-1 SAR Data by CHEN Siyu, LI Jiqing, XIE Yutao, TIAN Yu

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Inversion and Simulation Algorithm of High-Density Surface Wave Method for Pseudo Co-Seismic Source and Its Application by JIN Tao, GAO Bin, WANG Qiangqiang, ZHOU Hang, HE Wen, FENG Shaokong

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FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design by Hooman Danesh, Daniele Di Lorenzo, Francisco Chinesta, Stefanie Reese, Tim Brepols

“…While periodic homogenization of auxetic unit cells can be used to investigate these properties, it is computationally expensive and limits design space exploration and inverse analysis. In this paper, the fast Fourier transform (FFT)-based homogenization approach is adopted to efficiently generate data for developing surrogate models, bypassing concerns about periodic mesh generation and boundary conditions typically associated with the finite element method (FEM). …”
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Text-Mining-Based Non-Face-to-Face Counseling Data Classification and Management System by Woncheol Park, Seungmin Oh, Seonghyun Park

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UAV-Based Multispectral Inversion of Integrated Cotton Growth by Haozheng Gu, Chen Xue, Guobin Wang, Yubin Lan, Huizheng Wang, Cancan Song

“…In the comprehensive analysis, the comprehensive growth index can improve the accuracy of the inversion model of the cotton growth and provide a new method for the monitoring of the cotton growth by remote sensing.…”
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Evaluating the Security of Merkle Trees: An Analysis of Data Falsification Probabilities by Oleksandr Kuznetsov, Alex Rusnak, Anton Yezhov, Kateryna Kuznetsova, Dzianis Kanonik, Oleksandr Domin

“…Our study aims to bridge this gap by developing a theoretical framework to calculate the probability of data falsification, taking into account various scenarios based on the length of the Merkle path and hash length. …”
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Development and assessment of Leaf Area Index of Russia's vegetation cover based on multi-angular observations by KMSS (Meteor-M) and neural network inversion of PROSAIL model by D.E. Plotnikov, Z. Zhou, P.A. Kolbudaev, E.A. Loupian, A.M. Matveev, M.V. Zimin, B.S. Zhukov, T.V. Kondratieva, S.V. Lebedev

“…The method is based on the inversion of a PROSAIL radiative transfer model which ingests boundary conditions of the parameters, KMSS surface reflectance data and scene geometrical properties, including observation and illumination conditions. …”
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Retrieving total transpirable soil water in a rainfed vineyard using vine shoot growth, weather, and Sentinel-2 data by Yulin Zhang, Léo Pichon, Sébastien Roux, Anne Pellegrino, Guillaume Coulouma, Bruno Tisseyre

“…This study highlights the potential of integrating TTSW inverse modeling with accessible data sources, particularly vine shoot growth indices, to develop a cost-effective and scalable protocol for TTSW estimation in rainfed vineyards. …”
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From Patterns to Pills: How Informatics Is Shaping Medicinal Chemistry by Alexander Trachtenberg, Barak Akabayov

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Tight sandstone fluid detection technology based on multi-wave seismic data by Yutan Dou, Daxing Wang, Mengbo Zhang, Fei Li, Guanghong Du, Yonggang Wang, Yuhua Zhao, Feng Liu, Yan Huang, Jie Zhang, Xiaojie Cui, Ligang Huang, Jun Zhu

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