Characteristics of Spring Phenological Changes in China over the Past 50 Years by Junhu Dai, Huanjiong Wang, Quansheng Ge

“…Since most phenological time series are discontinuous because of observation interruptions at certain period, we first interpolated phenological time series by using the optimal model between the spring warming (SW) model and the UniChill model to form continuous time series. …”
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Reducing the dynamic range of infrared images based on block-priority equalization and compression of histograms by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

“…The modification is based on the division of the set of image blocks into two subsets of high-priority and low-priority blocks depend-ing on their brightness statistical properties. When interpolating pixel values, high-priority blocks use local alignment values, and low-priority blocks use global alignment values. …”
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An Integrated Framework for Mapping Nationwide Daily Temperature in China by Shaobo Zhong, Xinlan Ye, Mingxing Wang, Xin Mei, Dunjiang Song, Wenhui Wang

“…It is shown that the proposed approach is promising to improve the interpolation accuracy significantly, comprehensively considering the prior knowledge and the context of space variability and correlation, which will enable it to compile spatially continuous air temperature products with higher accuracy.…”
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Effect of active faults in the groundwater level of Shaharchay basin in Urmia by Tayebeh Kiani, Zahra Yousefi

“…To achieve this, an interpolation of (IDW) water level underground of Shaharchay by using the data of piezometeric well, then matching results with the position of faults and available tectonic seismic data. fractures were checked and the role of basin natural characteristics such as slope, lithology, soil type, ages of Geological, precipitation and landuse on groundwater level fluctuations were checked as well. …”
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Prediction of Mine Dust Concentration Based on Grey Markov Model by Zhou Xu, Guo Liwen, Zhang Jiuling, Qin Sijia, Zhu Yi

“…Firstly, considering the timeliness of monitoring data, the new dust concentration data is supplemented by using the method of cubic spline interpolation in the original data sequence. Therefore, the GM (1, 1) model is established by the method of metabolism. …”
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Investigation and analysis of turbulence and fluctuations of rainfall regions of Iran by hossain asakereh, mehdi doustkamian, mohammad darand

“…In the first part of the data, the results of the interpolation of the daily precipitation observations of 1434 stations of climate and climate were used from the beginning of 1340 to 1383. …”
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Model of Driver’s Eye Movement and ECG Index under Tunnel Environment Based on Spatiotemporal Data by Weiwei Qi, Bin Shen, Linhong Wang

“…The results show that the cubic spline interpolation function model can fit the dynamic changes of average pupil diameter and heart rate (HR) growth rate well, and the goodness of fit for the model group is above 0.95. …”
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An All-Time-Domain Moving Object Data Model, Location Updating Strategy, and Position Estimation by Qunyong Wu, Junyi Huang, Jianping Luo, Jianjun Yang

“…The cubic Hermite interpolation function is used to estimate the historical location. …”
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Use of GPS at research of roads & a vehicle by D. V. Mishuta, V. G. Мikhailov, M. V. Sirai

“…An assessment of opportunities of use of the obtained information is given.The scheme of connection of the GN-803N module to Raspberry 3/4 through the GPIO protocol is developed and proved.Reduction of the obtained data to a constant step with use of a polynom of Lagrange of the 2-nd order on three points of a variable step is considered.It is recommended at further use of this corrected data array in process modeling of the car application of a method of interpolation CatMull-Rom on the 4-th points at the fixed step. …”
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Optimization Control of Cooperative Trajectory towards Dual Arms Based on Time-Varying Constrained Output State by Hui Zhang, Wenbin Zha, Xiangrong Xu, Yongfei Zhu

“…Using random probability distribution to extract the interpolation features of nonuniform quintic B-spline trajectory, the feature optimization target is selected, and the Newton numerical algorithm is used for iterative optimization. …”
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Mesoscale and Local Scale Evaluations of Quantitative Precipitation Estimates by Weather Radar Products during a Heavy Rainfall Event by Basile Pauthier, Benjamin Bois, Thierry Castel, D. Thévenin, Carmela Chateau Smith, Yves Richard

“…Local scale accuracy was assessed for both total event rainfall and hourly rainfall accumulations, using the recently developed HydraVitis high-resolution rain gauge network Evaluation shows that (1) PANTHERE radar-based QPE underestimates rainfall fields at mesoscale and local scale; (2) both PANTHERE and ANTILOPE successfully reproduced the spatial variability of rainfall at local scale; (3) PANTHERE underestimates can be significantly improved at local scale by merging these data with rain gauge data interpolation (i.e., ANTILOPE). This study provides a preliminary evaluation of radar-based QPE at local scale, suggesting that merged products are invaluable for applications at very high resolution. …”
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Spatiotemporal Variation and Abrupt Change Analysis of Temperature from 1960 to 2012 in the Huang-Huai-Hai Plain, China by Yanyu Yin, Hui Liu, Xiangsheng Yi, Weidong Liu

“…Based on a monthly dataset of temperature time series (1960–2012) in the Huang-Huai-Hai Plain of China (HHHPC), spatiotemporal variation and abrupt change analysis of temperature were examined by moving average, linear regression, spline interpolation, Mann-Kendall test, and moving t-test. …”
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Production of Californium-252 by Using Reverse Reaction Technology by Aqeel L. Oudah, Sameera A. Ebrahiem, Khalid H. Mahdi

“…      In the current work, Calculate cross sections for  252Cf (α,3n)253Fm  reaction Use of interpolation and cross-section sampling published in the international literature to select the appropriate interaction of ground-level energies in a computer-based program (MATALAB-17.0) , in steps of energies (0.2 Million electron volts). …”
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Stabilization by feedback control of a novel stochastic chaotic finance model with time-varying fractional derivatives by Seyfeddine Moualkia, Yang Liu, Jinde Cao

“…The numerical simulations are done based on the Euler–Maruyama method and with the help of Lagrange polynomial interpolation, enabling the authors to extract meaningful results from the model. …”
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DM-KD: Decoupling Mixed-Images for Efficient Knowledge Distillation by Jongkyung Im, Younho Jang, Junpyo Lim, Taegoo Kang, Chaoning Zhang, Sung-Ho Bae

“…To solve this problem, we decouple an input mixed image into two original images and feed them into the teacher model individually. After then we interpolate the two individual logits to generate a logit for KD. …”
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Reentry Trajectory Optimization for a Hypersonic Vehicle Based on an Improved Adaptive Fireworks Algorithm by Xing Wei, Lei Liu, Yongji Wang, Ye Yang

“…First, via the Chebyshev polynomial interpolation, the trajectory optimization problem with infinite dimensions is transformed to a nonlinear programming problem (NLP) with finite dimension, and the scope of angle of attack (AOA) is obtained by path constraints to reduce the difficulty of the optimization. …”
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Soil Parameter Mapping and Ad Hoc Power Analysis to Increase Blocking Efficiency Prior to Establishing a Long-Term Field Experiment by Doug Collins, Chris Benedict, Andy Bary, Craig Cogger

“…Soil organic matter (OM) and weed seed bank populations were analyzed at each site and the spatial structure was modeled with semivariograms and interpolated with kriging to map the surface. These maps were used to formulate three strategic blocking patterns and the efficiency of each pattern was compared to a completely randomized design and a west to east model not informed by soil variability. …”
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A quantitative analysis of Koopman operator methods for system identification and predictions by Zhang, Christophe, Zuazua, Enrique

“…In particular, for problems in dimension 1 it is less efficient than direct interpolation methods to recover the vector field. We provide some numerical examples to illustrate this last point.…”
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Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study by A. N. Diaz-Lacava, M. Walier, D. Holler, M. Steffens, C. Gieger, C. Furlanello, C. Lamina, H. E. Wichmann, T. Becker

“…Spatial analysis included surface interpolation and geostatistics of observed and predicted patterns. …”
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Hazard Analysis of Weather Conditions on Distribution Transformer Failures via Cox Proportional Hazard Model by Cheonkyu Park, Chongeun Cho, Do-In Kim

“…Specifically, weather data are quantified and interpolated to configure the spatial data. The notable results underline quantifying significant impact of high summer temperature and humidity in term of hazard ratios. …”
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