International Journal of Computational Science and Engineering最新文献

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FCAODNet: a fast freight train image detection model based on embedded FCA FCAODNet:基于嵌入式FCA的快速货运列车图像检测模型
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.133692
Longxin Zhang, Peng Zhou, Miao Wang, Chengkang Weng, Xiaojun Deng
{"title":"FCAODNet: a fast freight train image detection model based on embedded FCA","authors":"Longxin Zhang, Peng Zhou, Miao Wang, Chengkang Weng, Xiaojun Deng","doi":"10.1504/ijcse.2023.133692","DOIUrl":"https://doi.org/10.1504/ijcse.2023.133692","url":null,"abstract":"The fault detection of freight train image has some problems, such as low detection accuracy and slow detection speed. Aiming at the problem of slow detection speed in the process of train image fault detection, a lightweight object detection model fast channel attention network (FCAODNet) is proposed in this study. FCAODNet consists of four modules, including feature extraction network (FEN), lightweight multi-scale feature fusion (LMFF), prediction across scales (PAS), and decoding modules. FEN extracts image features, LMFF fuses features, PAS predicts the location of the target object, and the decoding module obtains the final prediction result. FCAODNet's FEN adopts CSPDarknet53tiny. The designed LMFF is embedded with two FCA modules to improve the detection accuracy. Experiments on train datasets and public datasets show that FCAODNet outperforms other state-of-the-art models in detection speed and has good detection accuracy and robustness.","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844749","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
SLIC-SSA: an image segmentation method based on superpixel and sparrow search algorithm SLIC-SSA:基于超像素和麻雀搜索算法的图像分割方法
IF 2
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10053888
Hao Li, H. Wen, Jia Li, Lijun Xiao
{"title":"SLIC-SSA: an image segmentation method based on superpixel and sparrow search algorithm","authors":"Hao Li, H. Wen, Jia Li, Lijun Xiao","doi":"10.1504/ijcse.2023.10053888","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10053888","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77929770","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
High-volume transaction processing in Bitcoin Lightning Network on blockchains 基于区块链的比特币闪电网络的大容量交易处理
IF 2
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10057255
S. Bhalla, Y. Watanobe, Divij G. Singh, Rashmi P. Sarode
{"title":"High-volume transaction processing in Bitcoin Lightning Network on blockchains","authors":"S. Bhalla, Y. Watanobe, Divij G. Singh, Rashmi P. Sarode","doi":"10.1504/ijcse.2023.10057255","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10057255","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81046154","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
An improved continuous and discrete Harris Hawks optimiser applied to feature selection for image steganalysis 一种改进的连续和离散哈里斯鹰优化器应用于图像隐写分析的特征选择
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10060447
Ankita Gupta, Rita Chhikara, Prabha Sharma
{"title":"An improved continuous and discrete Harris Hawks optimiser applied to feature selection for image steganalysis","authors":"Ankita Gupta, Rita Chhikara, Prabha Sharma","doi":"10.1504/ijcse.2023.10060447","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10060447","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135706144","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
Detection of computationally-intensive functions in a medical image segmentation algorithm based on an active contour model 基于活动轮廓模型的医学图像分割算法中计算密集型函数的检测
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.133682
Carlos A.S.J. Gulo, Antonio C. Sementille, N.A. Jo�ã, o Manuel R.S. Tavares
{"title":"Detection of computationally-intensive functions in a medical image segmentation algorithm based on an active contour model","authors":"Carlos A.S.J. Gulo, Antonio C. Sementille, N.A. Jo�ã, o Manuel R.S. Tavares","doi":"10.1504/ijcse.2023.133682","DOIUrl":"https://doi.org/10.1504/ijcse.2023.133682","url":null,"abstract":"Image segmentation is one of the most critical operations performed on medical images. These operations require developing optimisation strategies to reduce runtime. Profiling methods can assess algorithm's performance concerning the overall cost of runtime, memory access, and performance bottlenecks. Therefore, we propose an approach for detecting computationally intensive functions in a competent medical image segmentation algorithm based on an active contour model. Our approach applies performance analysis tools commonly available in traditional computer operating systems, requiring no new setup or developing new performance-measuring techniques. The overall cost of execution time, memory accesses, and performance bottlenecks are measured in execution time. In conclusion, a call graph visualisation can suggest to users a quick graphical overview of the execution time of their codes and, therefore, guarantee the shortest possible learning curve by the community of researchers from medical image processing and analysis.","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844472","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
Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images 基于超声影像SONN和MLP-GA的肾脏疾病分类
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.133679
Anuradha Laishram, Khelchandra Thongam
{"title":"Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images","authors":"Anuradha Laishram, Khelchandra Thongam","doi":"10.1504/ijcse.2023.133679","DOIUrl":"https://doi.org/10.1504/ijcse.2023.133679","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844976","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
An investigation of CNN-LSTM music recognition algorithm in ethnic vocal technique singing 民族声乐技术演唱中CNN-LSTM音乐识别算法的研究
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10059161
Fang Dong
{"title":"An investigation of CNN-LSTM music recognition algorithm in ethnic vocal technique singing","authors":"Fang Dong","doi":"10.1504/ijcse.2023.10059161","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10059161","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135496927","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
Classification of hyperspectral images by using a lightweight cascaded deep convolutional network 基于轻量级级联深度卷积网络的高光谱图像分类
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10059162
Hemant Patidar, Sandhya Shinde
{"title":"Classification of hyperspectral images by using a lightweight cascaded deep convolutional network","authors":"Hemant Patidar, Sandhya Shinde","doi":"10.1504/ijcse.2023.10059162","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10059162","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135496707","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
Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images 基于超声影像SONN和MLP-GA的肾脏疾病分类
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10059384
Anuradha Laishram, Khelchandra Thongam
{"title":"Kidney diseases classification based on SONN and MLP-GA in ultrasound radiography images","authors":"Anuradha Laishram, Khelchandra Thongam","doi":"10.1504/ijcse.2023.10059384","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10059384","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135749596","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
Network traffic anomaly detection based on deep learning: a review 基于深度学习的网络流量异常检测技术综述
International Journal of Computational Science and Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijcse.2023.10059801
Wenjing Zhang, Xuemei Lei
{"title":"Network traffic anomaly detection based on deep learning: a review","authors":"Wenjing Zhang, Xuemei Lei","doi":"10.1504/ijcse.2023.10059801","DOIUrl":"https://doi.org/10.1504/ijcse.2023.10059801","url":null,"abstract":"","PeriodicalId":47380,"journal":{"name":"International Journal of Computational Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136307760","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
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