deeplearning相关论文
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Accurate identification of pests is the basis of forestry pests prevention and management.This paper uses the YOLOv5 s a......
With the rapid development of artificial intelligence technology,the contradiction between information explosion and kno......
正交频分复用（Orthogonal Frequency Division Multiplexing,OFDM）技术因其频谱效率高、可有效抵抗频率选择性衰落而得到广泛的研究......
学位
目的:应用深度学习算法建立基于纸质版12导联体表心电图的人工智能模型，评估并比较其与心律失常专科医生对流出道室性心律失常起源......
目的:探讨深度学习重建（DLR）较混合迭代重建（HIR）在降低CT肺动脉成像（CTPA）辐射剂量中的作用及对图像质量的影响。方法:前瞻性纳入2020年......
This paper presents a vision-based crack detection approach for concrete bridge decks using an integrated one-dimensiona......
In this study,we implement forward modeling and inversion based on deep-learning strategies using an optimal nearly anal......
The gravity inversion is to restore genetic density distribution of the underground target to be explored for explaining......
赤潮作为海洋灾害,对海洋渔业、生态、经济,以及人类生产、生活造成了严重影响.一直以来,赤潮受到研究者的广泛关注,但由于它的形......
The performance of deep learning on many tasks has been impressive. However, recent studies have shown that deep learnin......
Exploration of the Relation between Input Noise and Generated Image in Generative Adversarial Networ
In this paper, we propose a hybrid model aiming to map the input noise vector to the label of the generated image by the......
Total transmission plays an important role in efficiency improvement and wavefront control, and has made great progress ......
The estimated ultimate recovery(EUR)of shale gas wells is influenced by many factors,and the accurate prediction still f......
Research and applications of artificial neural network in pavement engineering:A state-of-the-art re
Given the great advancements in soft computing and data science,artificial neural network(ANN) has been explored and app......
Deep learning has gained tremendous success in various fields while training deep neural networks(DNNs) is very compute-......
Rain can cause performance degradation of outdoor computer vision tasks.Thus,the explo-ration of rain removal from video......
Convolutional Neural Networks (CNN) have achieved great success in many computer vision tasks.However,it is difficult to......
Three-dimensional ATUM-SEM reconstruction and analysis of hepatic endoplasmic reticulum-organelle in
The endoplasmic reticulum (ER) is a contiguous and complicated membrane network in eukaryotic cells,and membrane con-tac......
目的 为了在细胞培养过程中便捷地分析细胞的数目和形态.方法 本文将深度学习应用到细胞识别中,实现了一种可以通过普通光学显微镜......
Deep learning has become an extremely popular method in recent years,and can be a powerful tool in complex,prior-knowled......
Review on typical applications and computational optimizations based on semiclassical methods in str
The semiclassical method based on Feynman\'s path-integral is in favor of uncovering the quantum tunneling effect,the ......
The micro-expression lasts for a very short time and the intensity is very subtle. Aiming at the problem of its low reco......
In the past decades, there have been numerous advancements in the field of technology. This has led to many scientific b......
随着互联网技术的快速发展和移动设备的普及,我们每时每刻都被各种各样的信息包围着.如何从海量的数据中挖掘出具有价值的信息一直......
ML-ANet:A Transfer Learning Approach Using Adaptation Network for Multi-label Image Classification i
To reduce the discrepancy between the source and target domains,a new multi-label adaptation network(ML-ANet)based on mu......
This paper presents a new approach for automatical classification of structural state through deep learning.In this work......
Inverse design has long been an efficient and powerful design tool in the aircraft industry.In this paper,a novel invers......
High-throughput crop phenotyping,particularly under field conditions,is nowadays perceived as a key factor limiting crop......
Face views are particularly important in person-to-person communication.Differenes between the camera location and the f......
See clearly on rainy days:Hybrid multiscale loss guided multi-feature fusion network for single imag
The quality of photos is highly susceptible to severe weather such as heavy rain;it can also degrade the performance of ......
Soil geochemical prospecting prediction method based on deep convolutional neural networks-Taking Da
A method is proposed for the prospecting prediction of subsurface mineral deposits based on soil geochemistry data and a......
随着城市扩张,城市绿地被占用,城市热岛效应严重,对城市建筑屋顶面进行绿化,是增加城市绿地面积、改善城区生态环境的有效途径.针......
The coarse grained (CG)model implements the molecular dynamics simu-lation by simplifying atom properties and interactio......
Deep learning has proven to be an effective mechanism for computer vision tasks, especially for image denoising and burs......
Advanced technologies are required in future mobile wireless networks to support services with highly diverse requiremen......
With the rapid development of Internet of Things (IoT) technologies,the detection and analysis of malware have become a ......
The massive number of sensors deployed in the Internet of Things (IoT) produce gigantic amounts of data for facilitating......
由于真实世界中的复杂数据经常能够被表示成李群结构,文章设计了一个以李群特征作为输入的深度网络架构,以此利用深度学习强大的特......
In this paper, we mainly focus on the effect of training data set on the image reconstruction result of super-resolution......
In recent years,with the increase in the price of cryptocurrencies,the number of mali-cious cryptomining software has in......
Recently, the focus of semantic segmentation research has shifted to the aggregation of context prior and refined bounda......
Microwave-induced thermoacoustic tomography (TAT) is a rapidly-developing noninvasive imaging technique that integrates ......
Although deep learning methods have been widely applied in medical image lesion segmentation,it is still challenging to ......
Multi-Model Ensemble Deep Learning Method to Diagnose COVID-19 Using Chest Computed Tomography Image
Deep learning based analyses of computed tomography (CT) images contribute to automated diagnosis of COVID-19,and ensemb......
目的:探讨基于病理全玻片数字化图像（whole-slide imaging，WSI）的人工智能慢性鼻窦炎伴鼻息肉（CRSwNP）分型及其临床特征，同时探讨日本难......
