Deep-learning相关论文
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传统图像识别算法识别模型单一且易受外部光照条件干扰,深度卷积网络模型虽然识别率高,但计算量大,设备成本高,因此提出基于深度同......
<strong>Purpose</strong><span style="font-family:;" "=""><span style="font-family:Verdana;"><strong>: </strong></span><s......
Device-free gesture recognition is an emerging wireless sensing technique which could rec-ognize gestures by analyzing i......
HybridSucc:A Hybrid-learning Architecture for General and Species-specific Succinylation Site Predic
As an important protein acylation modification, lysine succinylation (Ksucc) is involved in diverse biological processes......
The number of films is numerous and the film contents are complex over the Intet and multimediasources. It is time consu......
为了获得更好的三维模型检索分类性能,基于深度学习模型研究了多模态信息融合对三维模型的特征描述,在训练步骤提出相关性损失函数......
科学读写作为科学教育基本且重要方式之一,在生物学教学中应用该方式实现学生的深度学习具有重要意义。科学读写的教学方式让学生......
Device-free gesture recognition is an emerging wireless sensing technique which could recognize gestures by analyzing it......
太阳黑子与耀斑的爆发存在紧密联系,因此及时准确地检测全日面图像中的太阳黑子可以为耀斑的预报提供依据。基于深度学习框架的LeN......
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of b......
在标的资产价格服从Heston模型的条件下,对欧式篮子期权定价问题进行了研究。推导出篮子期权价格满足的偏微分方程,利用基于深度学......
Purpose: To apply and evaluate a super-resolution scheme based on the super-resolution convolutional neural network (SRC......
The number of films is numerous and the film contents are complex over the Internet and multimedia sources. It is time c......
Cosmologies are developed by physicists and philosophers to explain our experiences of the evolving cosmos. Intelligent ......
