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International Journal of Information Technology & Decision Making最新文献

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Generalized Analytic Network Process with Path Restriction by the Distance matrix and Transition Functions 具有距离矩阵和转移函数路径约束的广义解析网络过程
International Journal of Information Technology & Decision Making Pub Date : 2023-01-10 DOI: 10.1142/s0219622023500177
Jih-Jeng Huang, Chin-Yi Chen
{"title":"Generalized Analytic Network Process with Path Restriction by the Distance matrix and Transition Functions","authors":"Jih-Jeng Huang, Chin-Yi Chen","doi":"10.1142/s0219622023500177","DOIUrl":"https://doi.org/10.1142/s0219622023500177","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126722512","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
PSSO: Political Squirrel Search Optimizer driven Deep learning for severity level detection and classification of Lung cancer PSSO:政治松鼠搜索优化器驱动的肺癌严重程度检测和分类的深度学习
International Journal of Information Technology & Decision Making Pub Date : 2023-01-10 DOI: 10.1142/s0219622023500189
Avishek Choudhury, S. Balasubramaniam, A.V. Pradeep Kumar, S. Karthikeyan, Sanjay Nakharu Prasad Kumar
{"title":"PSSO: Political Squirrel Search Optimizer driven Deep learning for severity level detection and classification of Lung cancer","authors":"Avishek Choudhury, S. Balasubramaniam, A.V. Pradeep Kumar, S. Karthikeyan, Sanjay Nakharu Prasad Kumar","doi":"10.1142/s0219622023500189","DOIUrl":"https://doi.org/10.1142/s0219622023500189","url":null,"abstract":"Lung cancer accounts for about 7.6 million deaths annually worldwide. Early identification of lung cancer is essential for reducing preventable deaths. In this paper, we developed a Political Squirrel Search Optimization (PSSO)-based deep learning scheme for efficacious lung cancer recognition and classification. We used Spine General Adversarial Network (Spine GAN) to segment lung lobe regions where a Deep Neuro Fuzzy Network (DNFN) classifier forecasts cancerous areas. A Deep Residual Network (DRN) is also used to determine the various cancer severity levels. The Political Optimizer (PO) and Squirrel Search Algorithm (SSA) were combined to create the newly announced PSSO method. Experimental outcomes are assessed using the dataset of images from the Lung Image Database Consortium.","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132325487","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
Forty years of automated patent classification 四十年的自动专利分类
International Journal of Information Technology & Decision Making Pub Date : 2023-01-06 DOI: 10.1142/s0219622023500165
Selen Yucesoy Kahraman, Türkay Dereli, A. Durmuşoğlu
{"title":"Forty years of automated patent classification","authors":"Selen Yucesoy Kahraman, Türkay Dereli, A. Durmuşoğlu","doi":"10.1142/s0219622023500165","DOIUrl":"https://doi.org/10.1142/s0219622023500165","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116811156","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
Innovation and survival of traditional industries: Measuring barriers using the Best Worst Method 传统产业的创新与生存:用最优最差方法衡量壁垒
International Journal of Information Technology & Decision Making Pub Date : 2023-01-06 DOI: 10.1142/s0219622023500153
Soodabeh Amiri, S. Kheybari, M. Latifi, Negin Salimi, A. Labib
{"title":"Innovation and survival of traditional industries: Measuring barriers using the Best Worst Method","authors":"Soodabeh Amiri, S. Kheybari, M. Latifi, Negin Salimi, A. Labib","doi":"10.1142/s0219622023500153","DOIUrl":"https://doi.org/10.1142/s0219622023500153","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129588433","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
Landslide Identification Using Optimized Deep Learning Framework Through Data Routing in IoT Application 利用优化的深度学习框架通过物联网应用中的数据路由进行滑坡识别
International Journal of Information Technology & Decision Making Pub Date : 2023-01-05 DOI: 10.1142/s021962202250095x
L. Lijesh, G. Arockia Selva Saroja
{"title":"Landslide Identification Using Optimized Deep Learning Framework Through Data Routing in IoT Application","authors":"L. Lijesh, G. Arockia Selva Saroja","doi":"10.1142/s021962202250095x","DOIUrl":"https://doi.org/10.1142/s021962202250095x","url":null,"abstract":"This paper develops an approach for detecting landslide using IoT. The simulation of IoT is the preliminary step that helps to collect data. The suggested Water Particle Grey Wolf Optimization (WPGWO) is used for the routing. The Water Cycle Algorithm (WCA), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO) are combined in the suggested method (WPGWO). The fitness is newly modeled considering energy, link cost, distance, and delay. The maintenance of routes is done to assess the dependability of the network topology. The landslide detection process is carried out at the IoT base station. In feature selection, angular distance is used. Oversampling is used to enrich the data, and Deep Residual Network (DRN) | used for landslide identification | is trained using the proposed Water Cycle Particle Swarm Optimization (WCPSO) method, which combines WCA and PSO. The proposed WCPSO-based DRN offered effective performance with the highest energy of 0.049[Formula: see text]J, throughput of 0.0495, accuracy of 95.7%, sensitivity of 97.2% and specificity of 93.9%. This approach demonstrated improved robustness and produced the global best optimal solution. For the proposed WPGWO, WCA, GWO, and PSO are linked to improve performance in determining the optimum routes. When comparing with existing methods the proposed WCPSO-based DRN offered effective performance.","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133397448","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 Hybrid Ontology Matching Mechanism for Adaptive Educational eLearning Environments 一种适应教育电子学习环境的混合本体匹配机制
International Journal of Information Technology & Decision Making Pub Date : 2022-12-31 DOI: 10.1142/s0219622022500936
Vasiliki Demertzi, Konstantinos Demertzis
{"title":"An Hybrid Ontology Matching Mechanism for Adaptive Educational eLearning Environments","authors":"Vasiliki Demertzi, Konstantinos Demertzis","doi":"10.1142/s0219622022500936","DOIUrl":"https://doi.org/10.1142/s0219622022500936","url":null,"abstract":"Providing the same pedagogical and educational methods to all students is pedagogically ineffective. In contrast, the pedagogical strategies that adapt to the fundamental individual skills of the students have proved to be more effective. An important innovation in this direction is the adaptive educational systems (AESs) that adjust the teaching content on educational needs and students’ skills. Effective utilization of these approaches can be enhanced with artificial intelligence (AI) and semantic web technologies that can increase data generation, access, flow, integration, and comprehension using the same open standards driving the World Wide Web. This study proposes a novel adaptive educational eLearning system (AEeLS) that can gather and analyze data from learning repositories and adapt these to the educational curriculum according to the student’s skills and experience. It is an innovative hybrid machine learning system that combines a semi-supervised classification method for ontology matching and a recommendation mechanism that uses a sophisticated way from neighborhood-based collaborative and content-based filtering techniques to provide a personalized educational environment for each student.","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132237674","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 data-driven model to construct the influential factors of online product satisfaction 构建在线产品满意度影响因素的数据驱动模型
International Journal of Information Technology & Decision Making Pub Date : 2022-12-30 DOI: 10.1142/s021962202350013x
Qigan Shao, Huai-Wei Lo, J. Liou, G. Tzeng
{"title":"A data-driven model to construct the influential factors of online product satisfaction","authors":"Qigan Shao, Huai-Wei Lo, J. Liou, G. Tzeng","doi":"10.1142/s021962202350013x","DOIUrl":"https://doi.org/10.1142/s021962202350013x","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132540899","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
Evaluation Of Spaceport Site Selection Criteria Based on Hesitant Z-Fuzzy Linguistic Terms: A Case for Turkiye 基于犹豫z -模糊语言术语的航天发射场选址标准评价:以土耳其为例
International Journal of Information Technology & Decision Making Pub Date : 2022-12-30 DOI: 10.1142/s0219622023500141
Melike Ilhan, Fatma Kutlu Gundogdu
{"title":"Evaluation Of Spaceport Site Selection Criteria Based on Hesitant Z-Fuzzy Linguistic Terms: A Case for Turkiye","authors":"Melike Ilhan, Fatma Kutlu Gundogdu","doi":"10.1142/s0219622023500141","DOIUrl":"https://doi.org/10.1142/s0219622023500141","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130692776","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
Wrapper based feature selection and optimization enabled hybrid deep learning framework for stock market prediction 基于包装器的特征选择和优化的混合深度学习框架用于股票市场预测
International Journal of Information Technology & Decision Making Pub Date : 2022-12-29 DOI: 10.1142/s0219622023500116
P. Patil, D. Parasar, S. Charhate
{"title":"Wrapper based feature selection and optimization enabled hybrid deep learning framework for stock market prediction","authors":"P. Patil, D. Parasar, S. Charhate","doi":"10.1142/s0219622023500116","DOIUrl":"https://doi.org/10.1142/s0219622023500116","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116137523","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
On uncertain mean-AVaR portfolio selection via an artificial neural network scheme 基于人工神经网络的不确定均值- avar投资组合选择
International Journal of Information Technology & Decision Making Pub Date : 2022-12-29 DOI: 10.1142/s0219622023500128
F. Talebi, A. Nazemi, Abdolmajid Abdolbaghi Ataabadi
{"title":"On uncertain mean-AVaR portfolio selection via an artificial neural network scheme","authors":"F. Talebi, A. Nazemi, Abdolmajid Abdolbaghi Ataabadi","doi":"10.1142/s0219622023500128","DOIUrl":"https://doi.org/10.1142/s0219622023500128","url":null,"abstract":"","PeriodicalId":257183,"journal":{"name":"International Journal of Information Technology & Decision Making","volume":"52 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120864664","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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