恭维
发表于 2025-3-23 12:42:28
http://reply.papertrans.cn/67/6636/663589/663589_11.png
牵索
发表于 2025-3-23 15:33:22
http://reply.papertrans.cn/67/6636/663589/663589_12.png
六个才偏离
发表于 2025-3-23 21:00:10
http://reply.papertrans.cn/67/6636/663589/663589_13.png
Generic-Drug
发表于 2025-3-23 23:56:15
http://reply.papertrans.cn/67/6636/663589/663589_14.png
Collar
发表于 2025-3-24 05:37:24
http://reply.papertrans.cn/67/6636/663589/663589_15.png
nonradioactive
发表于 2025-3-24 08:00:43
Aided Diagnosis of Autism Spectrum Disorder Based on a Mixed Neural Network Model the conventional methods are questionnaires and behavioral observation, which may be subjective and cause misdiagnosis. In order to obtain an accurate diagnosis, we could explore the quantitative imaging biomarkers and leverage the machine learning to learn the classification model on these biomark
斜坡
发表于 2025-3-24 11:05:46
http://reply.papertrans.cn/67/6636/663589/663589_17.png
的事物
发表于 2025-3-24 17:16:22
Multi-scale Feature Fusion Neural Network for Accurate Prediction of Drug-Target Interactionsng process that involves conducting biological experiments with a vast array of potential compounds. To accelerate this process, computational methods have been developed, and with the growth of available datasets, deep learning methods have been widely applied in this field. Despite the emergence o
Antimicrobial
发表于 2025-3-24 21:09:51
GoatPose: A Lightweight and Efficient Network with Attention Mechanismlutional networks to edge devices. In this paper, we present GoatPose: a lightweight deep convolutional model for real-time human keypoint detection incorporating attention mechanism. Since the high computational cost is associated with the frequently-use convolution block, we substitute it with our
笨重
发表于 2025-3-25 00:59:28
Sign Language Recognition for Low Resource Languages Using Few Shot Learnings crucial to leverage a few-shot learning strategy for SLR. This research proposes a novel skeleton-based sign language recognition method based on the prototypical network [.] called ProtoSign. Furthermore, we contribute to the field by introducing the first publicly accessible dynamic word-level S