2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)最新文献

筛选
英文 中文
On the Positive Realness of Delayed Systems 关于时滞系统的正实在性
2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE) Pub Date : 2018-11-01 DOI: 10.1109/ICTKE.2018.8612318
M. de La Sen, A. Ibeas
{"title":"On the Positive Realness of Delayed Systems","authors":"M. de La Sen, A. Ibeas","doi":"10.1109/ICTKE.2018.8612318","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612318","url":null,"abstract":"This paper extends some background positive realness results of transfer function under the presence of point-delayed delayed dynamics. Positive realness is a very important tool for the achievement of hyperstability and passivity in dynamic systems. The direct input-output interconnection gain is crucial in the performed analysis.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130863139","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
Leukemia Prediction from Microscopic Images of Human Blood Cell Using HOG Feature Descriptor and Logistic Regression 基于HOG特征描述符和Logistic回归的人血细胞显微图像预测白血病
2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE) Pub Date : 2018-09-23 DOI: 10.1109/ICTKE.2018.8612303
H. Abedy, Faysal Ahmed, Md. Nuruddin Qaisar Bhuiyan, Maheen Islam, M. Ali, M. Shamsujjoha
{"title":"Leukemia Prediction from Microscopic Images of Human Blood Cell Using HOG Feature Descriptor and Logistic Regression","authors":"H. Abedy, Faysal Ahmed, Md. Nuruddin Qaisar Bhuiyan, Maheen Islam, M. Ali, M. Shamsujjoha","doi":"10.1109/ICTKE.2018.8612303","DOIUrl":"https://doi.org/10.1109/ICTKE.2018.8612303","url":null,"abstract":"Leukemia originates in bone marrow. It massively affects the production of appropriate blood cells. Hence, its early detection is very crucial for human living. Generally, computational approaches for Leukemia detection use microscopic blood cells images. Then, machine learning based models are trained and tested for accurate measurement. The main challenge here is to achieve an acceptable accuracy with a scalable method. However, data inconsistency, missing values and data incompleteness made the researchers’ job much more difficult. In these consequences, this paper proposes a scalable Leukemia prediction method based on a publicly available ALL_IDB dataset using the HOG feature descriptor and Logistic Regression. Initially, the proposed method used Canny edge detector and noise reduction operators to detect the exact shape of Lymphocytes. Then, Principal Component Analysis (PCA) is applied to the detected image shapes. The PCA reduces the data dimensions without losing any valuable information and thus greatly minimizes the afterward computational cost. Finally, a classifier based model is produced for unforeseen events and it is tested. The results are validated using n-fold cross-validation technique, where n is a positive integer greater than or equal to three. The maximum average accuracy of the proposed model is 96% which is much higher than the state-of-the-art schemes.","PeriodicalId":342802,"journal":{"name":"2018 16th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648422","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: 13
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
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:481959085
Book学术官方微信