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International Journal of Intelligent Information and Database Systems最新文献

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Comparative study and experimentation on different techniques for customised POS-tagging 定制pos标签不同技术的比较研究与实验
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/ijiids.2022.10048692
Chandni Magoo, Manjeet Singh
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引用次数: 0
Drunkenness detection using a CNN with adding Gaussian noise and blur in the thermal infrared images 在热红外图像中加入高斯噪声和模糊的CNN醉酒检测
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/ijiids.2022.10047468
Kha-Tu Huynh, H. Nguyen
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引用次数: 0
Supporting user-centred ontology visualisation: predictive analytics using eye gaze to enhance human-ontology interaction 支持以用户为中心的本体可视化:使用眼睛注视来增强人类本体交互的预测分析
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/ijiids.2022.10041973
Bo Fu, B. Steichen
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引用次数: 2
An echo-based autonomous real-time system for efficient maintenance of students attendance 基于回声的自主实时系统，有效维护学生出勤情况
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/ijiids.2022.126507
Shritesh Jamulkar, Mili Verma, K. Naik
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引用次数: 1
Cat deep system for intrusion detection in software defined networking 软件定义网络中入侵检测的Cat深度系统
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/ijiids.2022.10045230
Yogita S. Hande, A. Muddana
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引用次数: 0
Imbalanced big data classification model using social spider-cat swarm optimisation weighted incremental learning ensemble classifier 基于社会性蜘蛛猫群优化加权增量学习集成分类器的不平衡大数据分类模型
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/ijiids.2022.10046230
V. Bhowate, T. H. Reddy
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引用次数: 0
Electroencephalogram-based deep learning framework for the proposed solution of e-learning challenges and limitations 提出了基于脑电图的深度学习框架解决电子学习的挑战和局限性
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/ijiids.2021.10041828
Dharmendra Pathak, R. Kashyap
There is a high surge in usage of online e-learning platforms due to the current ongoing COVID-19 scenario. There are specific problems that persist in the current e-learning online models, i.e., validations and tracking of students’ learning curves, validation of presented course material, content-based personalisation as per the requirements of the students, identification of learning disabilities among students, etc. Our paper proposes the deep learning model to solve the issues related to existing machine learning models of manual feature extraction and training on limited data. Also, real-time e-learning data will be collected from students wearing EEG-headband while taking online classes. It solves the issues associated with conventional machine learning models and historical data. The proposed CNN model will classify the students on different grades and help in the development of an automated framework for the tracking of a student learning curve, providing recommendations for the betterment of e-learning course materials. Copyright © 2022 Inderscience Enterprises Ltd.
由于目前正在进行的COVID-19情景，在线电子学习平台的使用量激增。目前的电子学习在线模式存在一些具体的问题，如学生学习曲线的验证和跟踪、所呈现的课程材料的验证、根据学生的需求进行基于内容的个性化、学生学习障碍的识别等。本文提出了深度学习模型来解决现有机器学习模型在有限数据上进行人工特征提取和训练的问题。此外，将从戴着脑电图头带的学生在线上课时收集实时电子学习数据。它解决了传统机器学习模型和历史数据相关的问题。提出的CNN模型将对不同年级的学生进行分类，并帮助开发跟踪学生学习曲线的自动化框架，为改进电子学习课程材料提供建议。版权所有©2022 Inderscience Enterprises Ltd。
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引用次数: 1
Taylor-feedback deer hunting optimisation algorithm for intrusion detection in cloud using deep maxout network 基于深度maxout网络的云入侵检测泰勒反馈寻鹿优化算法
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/IJIIDS.2022.121939
S. Soniya, S. Vigila
{"title":"Taylor-feedback deer hunting optimisation algorithm for intrusion detection in cloud using deep maxout network","authors":"S. Soniya, S. Vigila","doi":"10.1504/IJIIDS.2022.121939","DOIUrl":"https://doi.org/10.1504/IJIIDS.2022.121939","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"8 1","pages":"199-222"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81391729","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
The comparison of two approaches for detecting and locating abnormalities on coronary artery images 两种冠状动脉图像异常检测与定位方法的比较
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/ijiids.2022.124092
Le Nhi Lam Thuy, Tran Vi Van, Quang Ngoc Trieu, Le Huu Uyn, Nguyen Ngoc Tuan, Tang Thi Phuong Linh, P. Bao
{"title":"The comparison of two approaches for detecting and locating abnormalities on coronary artery images","authors":"Le Nhi Lam Thuy, Tran Vi Van, Quang Ngoc Trieu, Le Huu Uyn, Nguyen Ngoc Tuan, Tang Thi Phuong Linh, P. Bao","doi":"10.1504/ijiids.2022.124092","DOIUrl":"https://doi.org/10.1504/ijiids.2022.124092","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"35 1","pages":"341-352"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73517198","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
Visual relationship extraction in images and a semantic interpretation with ontologies 图像的视觉关系提取与本体语义解释
Q3 Computer Science
International Journal of Intelligent Information and Database Systems
Pub Date : 2022-01-01 DOI: 10.1504/ijiids.2021.10041280
Adel Zga, B. Nini
{"title":"Visual relationship extraction in images and a semantic interpretation with ontologies","authors":"Adel Zga, B. Nini","doi":"10.1504/ijiids.2021.10041280","DOIUrl":"https://doi.org/10.1504/ijiids.2021.10041280","url":null,"abstract":"","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"38 11 1","pages":"223-247"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82822757","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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