convolutional相关论文
Automated waste sorting can dramatically increase waste sorting efficiency and reduce its regulation cost.Most of the cu......
Aiming at the problem of unsatisfactory effects of traditional micro-expression recognition algorithms,an efficient micr......
Image super-resolution(SR) is an important technique for improving the resolution and quality of images.With the great p......
Development of Segmentation and Classification Algorithms for Computed Tomography Images of Human Ki
Computed tomography(CT)scan diagnostics procedures adopt the use of image infbnnation retrieval system with the help of ......
Tree species classification using deep learning and RGB optical images obtained by an unmanned aeria
The diversity of tree species and the complexity of land use in cities create challenging issues for tree species classi......
Traditional fire smoke detection methods mostly rely on manual algorithm extraction and sensor detection;however,these m......
Colonoscopy remains the gold standard investigation for colorectal cancer screening as it offers the opportunity to both......
Intelligent Recognition Method of Insufficient Fluid Supply of Oil Well Based on Convolutional Neura
Traditional methods for judging the degree of insufficient fluid supply in oil wells have low efficiency and limited acc......
Background:Prenatal evaluation of fetal lung maturity(FLM)is a challenge,and an effective non-invasive method for prenat......
Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samp
Deep learning has achieved much success in mechanical intelligent fault diagnosis in recent years. However, many deep le......
Elastography emerges as a medical modality to map stiffness distribution of tissues and is expected to help identify mal......
The background pattern of patterned fabrics is complex,which has a great interference in the extraction of defect featur......
采用（２，１，３）卷积码结合一种新的交织方案：位交织方案作为抗干扰措施，模拟并讨论了标准灰度图像的数据在相同调制方式、不同车速的移动衰落编......
Machine learning can help differentiating benign and malignant lesions seen on mammographic images. Conventional models ......
Action Recognition Using Multi-Scale Temporal Shift Module and Temporal Feature Difference Extractio
<span style="font-family:Verdana;">Convolutional neural networks, which have achieved outstanding performance in image r......
The tradeoff between efficiency and model size of the convolutional neural network(CNN) is an essential issue for applic......
本文通过改进的残差网络,学习有雨图像和无雨图像之间的映射关系来实现图像去雨,提出了一种基于联结残差网络的单幅图像去雨算法。......
针对户外停车场场景复杂,导致车位使用情况检测效能低、时效差和成本高的问题,提出了基于深度学习的车位实时检测方法。在计算能力......
针对电网输电线路发生故障较多、告警系统误报率较高且依赖运维人员事后分析的问题,提出了基于改进卷积神经网络(CNN)的电网输电线......
The automated interpretation of rock structure can improve the efficiency,accuracy,and consistency of the geological ris......
The new coronavirus(COVID-19),declared by the World Health Organization as a pandemic,has infected more than 1 million p......
Hand gestures are a natural way for human-robot interaction.Vision based dynamic hand gesture recognition has become a h......
In this paper we present a CNN based approach for a real time 3 D-hand pose estimation from the depth sequence.Prior dis......
立体匹配可以看作是有监督的学习任务,通过将大量的左右图像输入到卷积神经网络中进行训练,可以获得性能良好的视差图。但是,当前......
长时间的病理图像人工诊断会使医生产生视觉疲劳,误诊和漏诊情况容易发生。针对以上现象,提出一种结合卷积神经网络中多维度特征的......
To solve the problem of missing many valid triples in knowledge graphs(KGs),a novel model based on a convolutional neura......
[目的/意义]本文提出了基于卷积神经网络的物流服务业顾客满意度评价方法,为人们科学客观地了解物流实际运行情况,改善物流服务有......
近年来,微电子技术进入到纳电子/集成微系统时代,SIP(System in Package)和SOC(System on Chip)是微系统实现的两种重要技术途径;......
CNN-GRU混合深度学习反演弹性阻抗取得了较好的反演效果。但是,基于深度学习的叠前反演参数众多,包括内部深度学习网络可学习参数......
常规的微地震事件检测方法主要基于信号的特征计算,事件检测准确性依赖于算法的参数设置,受信号特征和信噪比变化的影响较大。为此......
逆合成孔径雷达(inverse synthetic aperture radar, ISAR)对非合作目标做成像时图像质量依赖于对目标运动参数的准确估计.针对在......
通过计算机识别面神经序列图像中的感兴趣区域,可以在手术规划过程中辅助医生辨别具体的功能区域,使医生进行手术时更有针对性,避......
人脸光照对称性是影响视频会议画面人脸质量的一个关键因素,本文通过分析人脸光照特性,引入卷积神经网络,提出一种基于深度学习的......
近年来,混合震源采集技术在海洋勘探中发展迅速,由于其高效的采集方式,以及能够获取高质量的地震数据而受到青睐。对混合震源数据......
To improve Asian food image classification accuracy, a method that combined Convolutional Block Attention Module (CBAM) ......
‘木禾种’与‘鸠坑种’、‘龙井种’并称为浙江三大有性系茶树品种,然而对‘木禾种’成品茶特征尚未见研究报道。本文通过感官审......
Object detection could be recognized as an essential part of the research to scenarios such as automatic driving and ped......
An algebraic construction methodology is proposed to design binary time-invariant convolutional low-density parity-check......
To achieve good results in convolutional neural networks(CNN) for text classification task, term-based pooling operation......
How to correctly acquire the appropriate features is a primary problem in network protocol recognition field.Aiming to a......
With the continuous progress of The Times and the development of technology, the rise of network social media has also b......
Spectrum sensing is a key technology for cognitive radios.We present spectrum sensing as a classification problem and pr......
提出了一种新的门限可调的序列译码算法和一种新的遍历译码树图的方法.取代了传统序列译码算法的路径度量,该算法使用基于最大似然......
System design and optimization problems require large-scale chemical kinetic models.Pure kinetic models of naphtha pyrol......
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of b......
Indoor Wi-Fi localization of mobile devices plays a more and more important role along with the rapid growth of location......
Video Description aims to automatically generate descriptive natural language for videos.Due to the large volume of mult......
基于2018年10月份黄河口入海两侧的LANDSAT8 OLI影像,提取植被指数和缨帽变换分量共9维光谱特征,构建融合浅层特征的8层深度卷积神......
针对非监督学习方法提取的底层特征用于特征描述时可区分性不强,对图像旋转、尺度等变换敏感的问题,提出了一种改进卷积自编码器的......
网络直播的兴起,促使直播弹幕成为一种新型的交流方式。随之而来的还有各类非法弹幕。在识别非法弹幕方面,人工筛选过于低效,传统......
