Expurgate
发表于 2025-3-28 15:25:57
RLSTM: A Novel Residual and Recurrent Network for Pedestrian Action Classification and recurrent neural network, Resnet-LSTM, for spatio-temporal pedestrian action recognition from image sequences. The model includes a novel layer, called MapGrad, whose goal is improving stationarity of the feature map sequences processed by the ConvLSTM. The paper demonstrates the effectiveness
Commonwealth
发表于 2025-3-28 20:35:30
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芳香一点
发表于 2025-3-28 22:54:04
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabhydrate counting, and the requirements of adjusting insulin dosage. Our paper aims to alleviate the demands of diabetes self-management by developing a complete system that employs computer vision to estimate the carbohydrate content of meals and utilizes reinforcement learning to personalize insuli
MIRTH
发表于 2025-3-29 05:52:12
COFI - Coarse-Semantic to Fine-Instance Unsupervised Mitochondria Segmentation in EMof disease causes or progression. Instance segmentation is a more granular version of semantic segmentation, as it identifies and distinguishes individual object instances, whereas semantic segmentation only identifies object classes. In this study, we introduce a two-stage unsupervised approach cal
情节剧
发表于 2025-3-29 08:01:26
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招人嫉妒
发表于 2025-3-29 12:05:53
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不利
发表于 2025-3-29 17:02:18
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Dislocation
发表于 2025-3-29 23:35:14
Stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound Images studies have shown evaluated deep learning (DL) models in atherosclerotic plaque classification (Asymptomatic, AS, or Symptomatic, SY), using carotid ultrasound (CUS) images, with only a few studies examining TL in this task. In this study, we use TL to classify plaques in CUS longitudinal images,
诙谐
发表于 2025-3-30 00:59:09
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充满人
发表于 2025-3-30 05:41:38
Biometric Recognition of African Clawed Frogsxperimental quality control purposes, it is desirable to identify individual frogs regularly throughout their life. Current methods for identification are often invasive and associated with significant investment costs. Identification based on images of the biometric pattern on a frog’s back has bee