Automatic generation of high-quality building samples using OpenStreetMap and deep learning by Ming Zhao, Chenxiao Zhang, Zhen Gu, Zhipeng Cao, Chuanwei Cai, Zhaoyan Wu, Lianlian He

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SPRC: A novel Sentinel-1/-2 Phenology-enhanced framework for automated paddy rice mapping by Jian Li, Fengchang Xue, Guicai Li, Mingwei Zhang, Jinyan Tian, Hanchao Zhang

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VSG-FC: A Combined Virtual Sample Generation and Feature Construction Model for Effective Prediction of Surface Roughness in Polishing Processes by Dapeng Yang, Shenggao Ding, Lifang Pan, Yong Xu

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Time-series urban green space mapping and analysis through automatic sample generation and seasonal consistency modification on Sentinel-2 data: A case study of Shanghai, China by Zhuoqun Chai, Keyao Wen, Hao Fu, Mengxi Liu, Qian Shi

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High-Quality Sample Generation for Power System Transient Stability Assessment Based on Data-Driven Methods by Baoqin Li, Pengfei Fan, Qixin Chen, Rong Li, Kaijun Lin

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Voice Adversarial Sample Generation Method for Ultrasonicization of Motion Noise by Jun Wang, Juan Liu

Subjects: “…Adversarial sample generation…”
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Few-Shot Object Detection for Remote Sensing Images via Pseudo-Sample Generation and Feature Enhancement by Zhaoguo Huang, Danyang Chen, Cheng Zhong

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Enhanced supervised classification of seasonal pastures on the Qinghai-Tibet Plateau (1990–2020) using Landsat optimal time window by Panfei Fang, Jia Wang, Haifeng Xu, Ruonan Li, Long Yu, Shaodong Huang, Yuying Liang, Pengfei Zheng

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Character-Level Adversarial Samples Generation Method Based on Dual-Layer Text Watermark by Houyue Wu, Xianwei Li, Shunxiang Zhang, Honghao Zhu

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Cross-regional sample generation based on Cropland Data Layer for large-scale winter wheat mapping: A case study of Huang-Huai-Hai Plain, China by Man Liu, Wei He, Hongyan Zhang

Subjects: “…Cross-regional sample generation…”
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A data-driven hybrid framework for voltage transformer ratio error prediction: Addressing challenges in complex power systems by Jiuxi Cui, Zhenhua Li, Heping Lu, Feng Zhou, Haoyu Chen, Zhenxing Li

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Predicting the glass transition temperature of polymer based on generative adversarial networks and automated machine learning by Zhanjie Liu, Yixuan Huo, Qionghai Chen, Siqi Zhan, Qian Li, Qingsong Zhao, Lihong Cui, Jun Liu

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Emergency-oriented fine change detection of flood-damaged farmland from medium-resolution remote sensing images by Gang Qin, Shixin Wang, Futao Wang, Zhenqing Wang, Suju Li, Xingguang Gu, Kailong Hu, Longfei Liu

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