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Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology.

, , , and . Sensors, 18 (3): 860 (2018)

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PAPR Reduction for 802.16e by Clipping and Tone Reservation Based on Amplitude Scale Factor., , , , and . ICPCA/SWS, volume 7719 of Lecture Notes in Computer Science, page 339-349. Springer, (2012)Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms., , , and . Sensors, 18 (12): 4425 (2018)Electrospinning Nanoparticles-Based Materials Interfaces for Sensor Applications., , , , and . Sensors, 19 (18): 3977 (2019)GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images., , , , , , and . IEEE J. Biomed. Health Informatics, 26 (4): 1582-1590 (2022)EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones., , , , , , and . ICCV, page 5829-5841. IEEE, (2023)Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks., , , , , , , , and . Medical Image Anal., (2019)Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization., , , and . MICCAI (Challenges), volume 12587 of Lecture Notes in Computer Science, page 135-144. Springer, (2020)Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images., , , and . MICCAI (Challenges), volume 12587 of Lecture Notes in Computer Science, page 145-154. Springer, (2020)CoRLNF: Joint Spatio-Temporal Pricing and Fleet Management for Ride-Hailing Platforms., , , and . ITSC, page 395-401. IEEE, (2022)Classification of thyroid nodules in ultrasound images using deep model based transfer learning and hybrid features., , , , and . ICASSP, page 919-923. IEEE, (2017)