Tropical Rice Mapping Using Time-Series SAR Images and ESF-Seg Model in Hainan, China, from 2019 to 2023 by Yazhe Xie, Lu Xu, Hong Zhang, Mingyang Song, Ji Ge, Fan Wu

“…Compared to the classical SegFormer model, the ESF-Seg model improves on the mIOU by 4.99% and on the mPA by 2.65%. Subsequently, compared to the RF, U-Net, and the original SegFormer model, the overall accuracy (OA) of the ESF-Seg model on the validation samples increased by 11.02%, 2.01%, and 1.33%, and the F1 score improved by 0.0756, 0.0624, and 0.0490, reaching 98.31% and 0.9506, respectively. …”
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Multivariable Time Series Prediction for the Icing Process on Overhead Power Transmission Line by Peng Li, Na Zhao, Donghua Zhou, Min Cao, Jingjie Li, Xinling Shi

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Reliability Prediction of Ontology-Based Service Compositions Using Petri Net and Time Series Models by Jia Li, Yunni Xia, Xin Luo

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Local-Global and Multi-Scale (LG-MS) Mixer Architecture for Long-Term Time Series Forecasting by Zhennan Peng, Boyong Gao, Ziqi Xia, Jie Liu

“…Although deep learning models dominate time series forecasting, they still struggle with long-sequence processing due to the challenges of extracting dynamic fluctuations and pattern features as input length increases. …”
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DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

“…Time-series data are widely applied in real-world scenarios, but the non-stationary nature of their statistical properties and joint distributions over time poses challenges for existing forecasting models. …”
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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

“…This accounts for the variability in the length, temporal position, and consistency of the time series, in addition to gaps in records, aligning them temporally before comparison. …”
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Investigating the amounts of solutes and chemical elements found in the sources Drinking water in Khorramabad city by Sayad Asghari Saraskanrood, zeynab DolatShahi

“…To perform this research, data on the chemical element of 23 wells and fountains in Khorramabad County during the period of 2002 to 2013 were presented in the form of a series of elements: fluorine (F), calcium (Ca), magnesium (Mg), potassium (K) The ArcGIS software and the algebraic or deterministic internalization methods, geology, IDW method, Kriging method and splint method were used for mapping and drawing maps. …”
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ACTIVITIES OF THE MIDDLE EAST QUARTET AND ITS PARTICIPANTS TO ACHIEVE ISRAELI-PALESTINIAN SETTLEMEN WITHIN THE ROAD MAP PROJECT (2003 – 2008) by I. A. Leshchenya

“…The most active phase in the work of the Quartet of international intermediaries was connected with the attempts to implement the Road Map plan for the Israeli-Palestinian peace settlement. …”
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Assessment of bias correction methods for high resolution daily precipitation projections with CMIP6 models: A Canadian case study by Xinyi Li, Zhong Li

“…The study evaluates the performance of bias correction techniques in developing high-resolution daily precipitation simulations over Canada. Quantile Delta Mapping (QDM) and Scaled Distribution Mapping (SDM) are employed to bias correct Coupled Model Intercomparison Project phase 6 (CMIP6) general circulation models (GCMs). …”
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A CNN-RF Hybrid Approach for Rice Paddy Fields Mapping in Indramayu Using Sentinel-1 and Sentinel-2 Data by Dodi Sudiana, Mia Rizkinia, Rahmat Arief, Tiara De Arifani, Anugrah Indah Lestari, Dony Kushardono, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo

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Transition Characteristic Analysis of Traffic Evolution Process for Urban Traffic Network by Longfei Wang, Hong Chen, Yang Li

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Application of Extreme Learning Machine Algorithm for Drought Forecasting by Muhammad Ahmad Raza, Mohammed M. A. Almazah, Zulfiqar Ali, Ijaz Hussain, Fuad S. Al-Duais

“…Generally, graphical results illustrated an excellent performance of the ELM algorithm over MLP and ARIMA models. For training data of SPTI-1, ELM’s best performance has observed at Chitral station (RMSE = 0.374, KGE = 0.838, WI = 0.960, MAE = 0.272, MAPE = 259.59, R = 0.93). …”
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Strategies for reducing motion sickness in virtual reality through improved handheld controller movements by Khang Yeu Tang, Ge Yu, Juhong Wang, Yu He, Sen-Zhe Xu, Song-Hai Zhang

“…By intelligently adjusting the controller-to-VR display mapping, these methods reduce vertigo. …”
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La répartition des chimpanzés à Sebitoli (Parc National de Kibale, Ouganda): influence des facteurs naturels et anthropiques by Sarah Bortolamiol, Marianne Cohen, Milena Palibrk, Sabrina Krief

“…In addition, we obtained a topographical map that allowed us to digitalize the hydrographical system of Sebitoli. …”
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Le parc national de l’Ichkeul (Tunisie) : une zone humide rétrolittorale aux paysages vulnérabilisés by Nathalie Carcaud

“…The documentary sources selected are colonial documentary films, small-scale maps and written documents from the region, large-scale topographic maps, postcards and oblique aerial photographs. …”
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Problems and possibilities of studying malting quality in barley using molecular genetic approaches by N. V. Trubacheeva, L. A. Pershina

“…Currently, there are more than 200 QTLs associated with malting parameters, which were identified using biparental mapping populations. Molecular markers are widely used both for mapping QTL loci responsible for malting quality traits and for performing marker-assisted selection (MAS), which, in combination with conventional breeding, makes it possible to create effective strategies aimed at accelerating the process of obtaining new promising genotypes. …”
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