发布求助
文献互助 智能选刊 最新文献

Signal, Image Processing and Embedded Systems Trends最新文献

筛选
英文 中文
Stock Price Prediction Model based on Dual Attention and TCN 基于双关注和TCN的股票价格预测模型
Signal, Image Processing and Embedded Systems Trends Pub Date : 2022-11-19 DOI: 10.5121/csit.2022.122007
Yi Fu, Hexue Xiao
{"title":"Stock Price Prediction Model based on Dual Attention and TCN","authors":"Yi Fu, Hexue Xiao","doi":"10.5121/csit.2022.122007","DOIUrl":"https://doi.org/10.5121/csit.2022.122007","url":null,"abstract":"The stock market is affected by many variables and factors, and the current forecasting models for time series are often difficult to capture the complex laws among multiple factors. Aiming at this problem, a stock price prediction model based on dual attention mechanism and temporal convolutional network is proposed. First, a convolution network more suitable for time series is used as the feature extraction layer. Feature attention is introduced to dynamically mine the potential correlation between the input factor features and closing prices. Second, based on Gated Recurrent Unit, on the other hand, a temporal attention mechanism is introduced to improve the model's ability to learn important time points and obtain importance measures from a temporal perspective. The experimental results show that the proposed model performs better than the traditional prediction model in the error index of stock price prediction and realizes the interpretability of the model in terms of index characteristics and time.","PeriodicalId":105776,"journal":{"name":"Signal, Image Processing and Embedded Systems Trends","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128285020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Systematic Literature Review on Insect Detection in Images 图像中昆虫检测的系统文献综述
Signal, Image Processing and Embedded Systems Trends Pub Date : 2022-11-19 DOI: 10.5121/csit.2022.122003
Lotfi Souifi, Afef Mdhaffar, I. Rodriguez, M. Jmaiel, Bernd Freisleben
{"title":"A Systematic Literature Review on Insect Detection in Images","authors":"Lotfi Souifi, Afef Mdhaffar, I. Rodriguez, M. Jmaiel, Bernd Freisleben","doi":"10.5121/csit.2022.122003","DOIUrl":"https://doi.org/10.5121/csit.2022.122003","url":null,"abstract":"Due to the advancements of deep learning (DL), particularly in the areas of visual object detection and convolutional neural networks (CNN), insect detecetion in images has received a lot of attention from the research community in the last few years. This paper presents a systematic review of the literature on the topic of insect detection as a case of object detection in images. It covers 50 research papers on the subject and responds to three research questions: i) type of dataset used; ii) detection technique used; iii) insect location. The paper also provides a summary of existing methods used for insect detection.","PeriodicalId":105776,"journal":{"name":"Signal, Image Processing and Embedded Systems Trends","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124282940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信