Optimizing interpolation and quantitative morphometry analysis suitability to soil erodibility modeling for soil erosion risk mapping in a complex topography by Solomon Temidayo Owolabi, Johanes A. Belle

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Evaluating Geostatistical and Statistical Merging Methods for Radar–Gauge Rainfall Integration: A Multi-Method Comparative Study by Xuan-Hien Le, Naoki Koyama, Kei Kikuchi, Yoshihisa Yamanouchi, Akiyoshi Fukaya, Tadashi Yamada

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A method for quantifying uncertainty in spatially interpolated meteorological data with application to daily maximum air temperature by C. T. Doherty, C. T. Doherty, W. Wang, H. Hashimoto, H. Hashimoto, I. G. Brosnan

“…<p>Uncertainty is inherent in gridded meteorological data, but this fact is often overlooked when data products do not provide a quantitative description of prediction uncertainty. This paper describes, applies, and evaluates a method for quantifying prediction uncertainty in spatially interpolated estimates of meteorological variables. …”
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Evaluation of Interpolation Effects on Upsampling and Accuracy of Cost Functions-Based Optimized Automatic Image Registration by Amir Pasha Mahmoudzadeh, Nasser H. Kashou

“…Interpolation is needed if the fractional unit of motion is not matched and located on the high resolution (HR) grid. …”
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Multivariate Smooth Symmetrized and Perturbed Hyperbolic Tangent Neural Network Approximation over Infinite Domains by George A. Anastassiou

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A Spatiotemporal Dataset of Soil Properties in Northeast China Based on Soil Sampling and Interpolation From 2009 to 2020 by Shuzhen Li, Jieyong Wang, Xu Lin, Yaqun Liu

“…By integrating a spatiotemporal covariance function with the Kriging interpolation algorithm, the study systematically resolves the challenge of spatiotemporal collaborative modelling for multi‐year discontinuous observational data. …”
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A comparative study of Lagrange and Gregory forward interpolation techniques for estimating new student enrollment trends in the faculty of Tarbiyah at IAIN Kediri by Ahmad Syamsudin, M. Syamsul Ma'arif

“…This research employs a quantitative approach with descriptive and comparative designs. …”
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A Quantitative Particle-Based Approach for the Geometallurgical Assessment of Tailings Deposits by Rosie Blannin, Max Frenzel, Raimon Tolosana-Delgado, Kai Bachmann, Alexandra Gomez Escobar, Lucas Pereira, Jens Gutzmer

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A quantitative analysis of Koopman operator methods for system identification and predictions by Zhang, Christophe, Zuazua, Enrique

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An Integrated Method of Multiradar Quantitative Precipitation Estimation Based on Cloud Classification and Dynamic Error Analysis by Yong Huang, Huijuan Liu, Yun Yao, Ting Ni, Yan Feng

“…The QPE data are then derived with methods of Z-R, Kalman filter (KF), optimum interpolation (OI), Kalman filter plus optimum interpolation (KFOI), and average calibration (AC) based on error analysis on the Huaihe River Basin. …”
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Sediment Maps for the Continental Shelf of the US Gulf of America and South Atlantic Bight Using Compositional Kriging by Iliana Chollett, Christopher Gardner, Larry Perruso, John F. Walter III

“…Spatial resolution for the output maps was identified as 1 km2 based on quantitative analyses. Interpolated maps were computed using compositional kriging on log‐ratio transformed variables. …”
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Offline Single-Polarization Radar Quantitative Precipitation Estimation Based on a Spatiotemporal Deep Fusion Model by Yonghong Zhang, Shiwei Chen, Wei Tian, Guangyi Ma, Shuai Chen

“…Quantitative precipitation estimation (QPE) based on Doppler radar plays an important role in severe weather monitoring, industrial and agricultural production, and natural disaster prediction and prevention. …”
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Frequency Domain-Based Super Resolution Using Two-Dimensional Structure Consistency for Ultra-High-Resolution Display by Yu Lim Seo, Suk-Ju Kang, Yeon-Kug Moon

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Remote Sensing Retrieval Method Based on Few-Shot Learning: A Case Study of Surface Dissolved Organic Carbon in Jiangsu Coastal Waters, China by Jiahao Zhang, Huan Li, Yiyang Miao, Zeng Zhou, Huihua Lyu, Zheng Gong

“…To tackle this challenge, we propose a high-precision retrieval method for ocean surface DOC, combining spatial interpolation with deep neural networks (DNN), utilizing a small yet evenly distributed in-situ observation dataset. …”
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Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

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Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam by Yunfei Xiang, Peng Lin, Haoyang Peng, Zichang Li, Yuanguang Liu, Yu Qiao, Zuobin Yang

“…Specifically, a distributed temperature sensing system is employed for concrete monitoring, with a “Z-shaped” optical fiber layout. Three interpolation algorithms—Kriging, Natural Neighbor, and Inverse Distance Weighting—are quantitatively evaluated, with Kriging showing the highest accuracy. …”
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Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods by Bayan Banimfreg, Ernesto Damiani, Vesta Afzali Gorooh, Duncan Axisa, Luca Delle Monache, Youssef Wehbe

“…Results The neural network model outperformed traditional interpolation techniques, achieving a 47% reduction in Root Mean Square Error (RMSE), and a 0.56 increase in R2 compared to the best-performing IDW variant (RS-IDW). …”
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ImproveYourVideos: Architectural Improvements for Text-to-Video Generation Pipeline by Vladimir Arkhipkin, Zein Shaheen, Viacheslav Vasilev, Elizaveta Dakhova, Konstantin Sobolev, Andrey Kuznetsov, Denis Dimitrov

“…Secondly, we introduce a novel frame interpolation architecture that offers an inference speed boost over three times that of the standard Masked Frame interpolation approach. …”
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Standardized Evaluation of Counter-Drone Systems: Methods, Technologies, and Performance Metrics by Geert De Cubber, Daniela Doroftei, Paraskevi Petsioti, Alexios Koniaris, Konrad Brewczyński, Marek Życzkowski, Razvan Roman, Silviu Sima, Ali Mohamoud, Johan van de Pol, Ivan Maza, Anibal Ollero, Christopher Church, Cristina Popa

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A mineral-strength conversion model based on LIBS technology and rapid batch testing and application of uniaxial compressive strength by Qinghe ZHANG, Xiaorui WANG, Chuanbing WANG, Weiguo LI, Fengqiang GONG, Xinsheng ZHANG, Jingguo LI

“…A novel approach for the rapid quantitative characterization of rock UCS from a mineralogical perspective is proposed, utilizing laser-induced breakdown spectroscopy (LIBS) technology, thereby introducing a mineral-to-strength conversion methodology. …”
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