2022 5th International Conference on Information and Computer Technologies (ICICT)最新文献_第2页

EHR system tracks prisoner's data across countries to monitor COVID-19 in U.S. State and Federal Prisons 电子病历系统跟踪各国囚犯的数据，以监测美国州和联邦监狱的COVID-19

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/ICICT55905.2022.00011

Oliver Simonoski, Izabela Mitreska, D. C. Bogatinoska, A. Hristov

引用次数: 9

Impact of Data Augmentation on Skin Lesion Classification Using Deep Learning 数据增强对使用深度学习的皮肤病变分类的影响

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/ICICT55905.2022.00020

V. O. Nancy, Meenakshi S. Arya, N. Nitin

{"title":"Impact of Data Augmentation on Skin Lesion Classification Using Deep Learning","authors":"V. O. Nancy, Meenakshi S. Arya, N. Nitin","doi":"10.1109/ICICT55905.2022.00020","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00020","url":null,"abstract":"The known peculiar type of cancer type is melanoma. It arises as pigment and is hard to find in the initial stages. The persistence level is 99% when identified in the early stage. Classification and identification of malignant tumors in skin lesions are crucial. The main goal is to sort the lesion images to seven important classes and identify the cancerous and non-cancerous tumors at the earliest using deep learning techniques. The efficient way for deep learning outcomes is to use a large volume and high-quality training dataset. Existing datasets are effectively not sufficient for training the model. The techniques for data augmentation are effective ways to build highly accurate classifiers from insufficient data. The proposed methodology offered the effective strategy for diagnosing the malignant tumor is a CNN-based model. CNN is specifically used to recognize and classify images. The framework is trained with data that has been labeled with the appropriate class. A similar framework has been trained with augmented and non-augmented lesion images for knowing the malignant lesions. The results are compared to both original data and augmented data. The model evaluated, the accuracy occurred for augmented data is 97.86%.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132584616","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: 1

Discovery of early-alert indicators using hybrid ensemble learning and generative physics-based models 使用混合集成学习和基于生成物理的模型发现预警指标

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/ICICT55905.2022.00046

Zhenyi Yang, Rebecca Miao, Marina Orlova, I. Nechepurenko, V. Gavrishchaka

{"title":"Discovery of early-alert indicators using hybrid ensemble learning and generative physics-based models","authors":"Zhenyi Yang, Rebecca Miao, Marina Orlova, I. Nechepurenko, V. Gavrishchaka","doi":"10.1109/ICICT55905.2022.00046","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00046","url":null,"abstract":"Early detection of developing abnormalities or treatment effects could critically enhance success of prevention and treatment strategies. While many advanced technologies are available for accurate clinical diagnostics, their wide 24/7 usage required for early preventive alerts including detection of emerging intermittent patterns is not feasible. Although modern wearable devices offer affordable continuous recording of physiological data, data collected over long-term necessarily have significantly lower resolution due to technological limitations leading to sharp accuracy deterioration of mainstream diagnostic techniques. Recently, we demonstrated that some of these challenges can be resolved by hybrid framework where boosting algorithms are used for enhancement of existing domain-expert models with further non-linear combination of boosted ensemble components via deep learning or other machine learning algorithms. While normal-abnormal differentiation performance of such hybrid indicators was confirmed using real cardio data from www.physionet.org, their applicability to more challenging problem of early-stage detection of emerging abnormalities or treatment effects remain unknown since long-term transition data from normal to abnormal states is not available. Here we propose a framework for verification and enhancement of indicator abilities for such early detection using simulated transition paths obtained by sampling real normal/abnormal data and employing realistic synthetic data generated by physics-based models. Robust performance of our hybrid indicators was confirmed in cases where other existing approaches fail.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127446908","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: 1

Extension of the Disaster Information Sharing System DITS & DIMS to a System Available on a Daily Use 灾害信息共享系统DITS & DIMS向日常可用系统的扩展

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/ICICT55905.2022.00013

O. Uchida, Ryoji Yamaguchi, Kohei Cho

引用次数: 0

Modeling Subsystem for Optimizing Reforming Processes of an Intellectualized Decision Support System 智能化决策支持系统改造过程优化建模子系统

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/ICICT55905.2022.00019

B. Orazbayev, A. Zhumadillayeva, K. Dyussekeyev, K. Orazbayeva, T. Umarov, L. Kurmangaziyeva

{"title":"Modeling Subsystem for Optimizing Reforming Processes of an Intellectualized Decision Support System","authors":"B. Orazbayev, A. Zhumadillayeva, K. Dyussekeyev, K. Orazbayeva, T. Umarov, L. Kurmangaziyeva","doi":"10.1109/ICICT55905.2022.00019","DOIUrl":"https://doi.org/10.1109/ICICT55905.2022.00019","url":null,"abstract":"The creation of intellectualized decision support systems (IDSS) for managing various, complex and difficult to formalize objects is currently a topical issue of science and practice. In this work, a subsystem for modeling ISSPR is created, which makes it possible to determine the effective operating modes of the catalytic reforming unit reactors. Mathematical models of the investigated reactors are developed on the basis of statistical data and fuzzy information obtained by expert assessment methods. Accordingly, the models for determining the volume of products produced from the output of the reactors are built in the form of statistical models, and for assessing the quality of the target product of the reforming process, i.e., catalyzate, based on expert information in the form of fuzzy models. An IDSS structure has been created to control the operating modes of the investigated reactors, which differs from the known structures of similar systems in that it includes a package of models of the control object and heuristic methods for solving decision-making problems, which make it possible to take into account the fuzziness of the initial information. In addition, the proposed IDSS structure contains a knowledge and data base, identifiers of model parameters, an intellectualized user interface and a block for explaining the selected solutions, which make it possible to increase the efficiency of the system. Describe the functions of the main functional blocks of the created IDSS.","PeriodicalId":273927,"journal":{"name":"2022 5th International Conference on Information and Computer Technologies (ICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130221598","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

Proceedings 2022 5th International Conference on Information and Computer Technologies ICICT 2022 第五届信息与计算机技术国际会议论文集

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/icict55905.2022.00001

引用次数: 0

A Characterization of Word- Usage of Students Using Part-of-Speech Information 利用词性信息分析学生的用词特征

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/ICICT55905.2022.00032

Toshiro Minami, Y. Ohura

引用次数: 1

SC-NET: Spatial and Channel Attention Mechanism for Enhancement in Face Recognition 空间和通道注意机制对人脸识别的增强作用

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/ICICT55905.2022.00036

Yefan Zhu, Yanhong Liang, Tang Kai, Kazushige Ouchi

引用次数: 1

A Web-based Interactive and Visualized Approach to Simulations of Operating Systems 基于网络的操作系统仿真的交互式可视化方法

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/ICICT55905.2022.00033

H. Pham

引用次数: 0

EnsembleNet: An improved COVID19 Prediction Model using Chest X-Ray Images 基于胸部x射线图像的新型冠状病毒预测模型

2022 5th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2022-03-01 DOI: 10.1109/ICICT55905.2022.00031

Yamuna Prasad, Nitin

引用次数: 0