发布求助
文献互助 智能选刊 最新文献

Informatica最新文献

筛选
英文 中文
Non-dominated Sorting Genetic Optimization-based Fog Cloudlet Computing for Wireless Metropolitan Area Networks 基于非支配排序遗传优化的无线城域网雾小云计算
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-12-23 DOI: 10.31449/inf.v47i10.5118
A. S. Hashim, Wid Akeel Awadh, Mohammed S. Hashim
{"title":"Non-dominated Sorting Genetic Optimization-based Fog Cloudlet Computing for Wireless Metropolitan Area Networks","authors":"A. S. Hashim, Wid Akeel Awadh, Mohammed S. Hashim","doi":"10.31449/inf.v47i10.5118","DOIUrl":"https://doi.org/10.31449/inf.v47i10.5118","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"13 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Referees of INFORMATICA Volume 34 第 34 卷 INFORMATICA 的推荐人
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-12-11 DOI: 10.15388/23-infor344re
{"title":"Referees of INFORMATICA Volume 34","authors":"","doi":"10.15388/23-infor344re","DOIUrl":"https://doi.org/10.15388/23-infor344re","url":null,"abstract":"PDF  XML","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"23 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138573004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A PSO-CNN-based approach for Enhancing Precision in Plant Leaf Disease Detection and Classification 基于 PSO-CNN 的植物叶病检测与分类精确度提升方法
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-12-09 DOI: 10.31449/inf.v47i9.5188
Ashish Gupta, Deepak Gupta, Mohammad Husain, Mohammad Nadeem Ahmed, Arshad Ali, Parveen Badoni
{"title":"A PSO-CNN-based approach for Enhancing Precision in Plant Leaf Disease Detection and Classification","authors":"Ashish Gupta, Deepak Gupta, Mohammad Husain, Mohammad Nadeem Ahmed, Arshad Ali, Parveen Badoni","doi":"10.31449/inf.v47i9.5188","DOIUrl":"https://doi.org/10.31449/inf.v47i9.5188","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"11 12","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Algorithm for Data Management of Higher Education Based on Fuzzy Set Theory - Association Rule Mining Algorithm 基于模糊集理论的高等教育数据管理算法--关联规则挖掘算法
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-12-09 DOI: 10.31449/inf.v47i9.5222
Youmeng Guan
{"title":"An Algorithm for Data Management of Higher Education Based on Fuzzy Set Theory - Association Rule Mining Algorithm","authors":"Youmeng Guan","doi":"10.31449/inf.v47i9.5222","DOIUrl":"https://doi.org/10.31449/inf.v47i9.5222","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"14 11","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138585644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hyperparameter Optimization for Convolutional Neural Networks using the Salp Swarm Algorithm 使用 Salp Swarm 算法优化卷积神经网络的超参数
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-12-09 DOI: 10.31449/inf.v47i9.5148
Entesar Abdulsaed, Maytham Alabbas, Raidah S. Khudeyer
{"title":"Hyperparameter Optimization for Convolutional Neural Networks using the Salp Swarm Algorithm","authors":"Entesar Abdulsaed, Maytham Alabbas, Raidah S. Khudeyer","doi":"10.31449/inf.v47i9.5148","DOIUrl":"https://doi.org/10.31449/inf.v47i9.5148","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"4 16","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138586105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Study of Identification of Corporate Financial Fraud Using Neural Network Algorithms in an Information-based Environment 在信息化环境中利用神经网络算法识别企业财务欺诈的研究
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-12-06 DOI: 10.31449/inf.v47i9.5220
Zilu Liang, Yunji Liang
{"title":"A Study of Identification of Corporate Financial Fraud Using Neural Network Algorithms in an Information-based Environment","authors":"Zilu Liang, Yunji Liang","doi":"10.31449/inf.v47i9.5220","DOIUrl":"https://doi.org/10.31449/inf.v47i9.5220","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"17 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138594345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Interval-Valued Pythagorean Fuzzy Extension of DEMATEL for Prioritizing and Casualty Analysis of Environmental Criteria of Organizational Behaviour in Higher Education Sector 高等教育部门组织行为环境准则的优先排序和损失分析的DEMATEL的区间值毕达哥拉斯模糊推广
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-12-06 DOI: 10.15388/23-infor541
Jafar Torkzadeh, Dragan Pamucar, Sadegh Niroomand
{"title":"Interval-Valued Pythagorean Fuzzy Extension of DEMATEL for Prioritizing and Casualty Analysis of Environmental Criteria of Organizational Behaviour in Higher Education Sector","authors":"Jafar Torkzadeh, Dragan Pamucar, Sadegh Niroomand","doi":"10.15388/23-infor541","DOIUrl":"https://doi.org/10.15388/23-infor541","url":null,"abstract":"In this study, effect of the environmental factors on the organizational behaviour in higher education sector is analysed and these factors are prioritized. For this aim, first, the environmental criteria affecting the organizational behaviour of higher education sector are selected from the literature. Then, as a solution methodology, (i) some experts are asked to determine pairwise comparison of the criteria, (ii) the linguistic terms are converted to interval-valued Pythagorean fuzzy values, and (iii) an interval-valued Pythagorean fuzzy DEMATEL approach is developed and applied. According to the results, most of the economic, political, and professional domain criteria are of the cause category.\u0000PDF  XML","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"50 2","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138509111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing Phishing Website Detection via Feature Selection in URL-Based Analysis 在基于 URL 的分析中通过特征选择加强钓鱼网站检测
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-12-05 DOI: 10.31449/inf.v47i9.5177
Marwa-Aqa Abd Al Hussein Qasim, Nahla A. Flayh
{"title":"Enhancing Phishing Website Detection via Feature Selection in URL-Based Analysis","authors":"Marwa-Aqa Abd Al Hussein Qasim, Nahla A. Flayh","doi":"10.31449/inf.v47i9.5177","DOIUrl":"https://doi.org/10.31449/inf.v47i9.5177","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"88 6","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138600301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Selection of Suitable Cloud Vendors for Health Centre: A Personalized Decision Framework with Fermatean Fuzzy Set, LOPCOW, and CoCoSo 健康中心合适云供应商的选择:一个具有Fermatean模糊集、LOPCOW和CoCoSo的个性化决策框架
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-11-23 DOI: 10.15388/23-infor537
Sundararajan Dhruva, Raghunathan Krishankumar, Edmundas Kazimieras Zavadskas, Kattur Soundarapandian Ravichandran, Amir H. Gandomi
{"title":"Selection of Suitable Cloud Vendors for Health Centre: A Personalized Decision Framework with Fermatean Fuzzy Set, LOPCOW, and CoCoSo","authors":"Sundararajan Dhruva, Raghunathan Krishankumar, Edmundas Kazimieras Zavadskas, Kattur Soundarapandian Ravichandran, Amir H. Gandomi","doi":"10.15388/23-infor537","DOIUrl":"https://doi.org/10.15388/23-infor537","url":null,"abstract":"Cloud computing has emerged as a transformative technology in the healthcare industry, but selecting the most suitable CV (“cloud vendor”) remains a complex task. This research presents a decision framework for CV selection in the healthcare industry, addressing the challenges of uncertainty, expert hesitation, and conflicting criteria. The proposed framework incorporates FFS (“Fermatean fuzzy set”) to handle uncertainty and data representation effectively. The importance of experts is attained via the variance approach, which considers hesitation and variability. Furthermore, the framework addresses the issue of extreme value hesitancy in criteria through the LOPCOW (“logarithmic percentage change-driven objective weighting”) method, which ensures a balanced and accurate assessment of criterion importance. Personalized grading of CVs is done via the ranking algorithm that considers the formulation of CoCoSo (“combined compromise solution”) with rank fusion, providing a compromise solution that balances conflicting criteria. By integrating these techniques, the proposed framework aims to enhance the rationale and reduce human intervention in CV selection for the healthcare industry. Also, valuable insights are gained from the framework for making informed decisions when selecting CVs for efficient data management and process implementation. A case example from Tamil Nadu is presented to testify to the applicability, while sensitivity and comparison analyses reveal the pros and cons of the framework.\u0000PDF  XML","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"22 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138530665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Novel Entropy Measure with its Application to the COPRAS Method in Complex Spherical Fuzzy Environment 一种新的熵测度及其在复杂球面模糊环境下COPRAS方法中的应用
IF 2.9 4区 计算机科学
Informatica Pub Date : 2023-11-20 DOI: 10.15388/23-infor539
Ebru Aydoğdu, Başak Aldemir, Elif Güner, Halis Aygün
{"title":"A Novel Entropy Measure with its Application to the COPRAS Method in Complex Spherical Fuzzy Environment","authors":"Ebru Aydoğdu, Başak Aldemir, Elif Güner, Halis Aygün","doi":"10.15388/23-infor539","DOIUrl":"https://doi.org/10.15388/23-infor539","url":null,"abstract":"A complex spherical fuzzy set (CSFS) is a generalization of the spherical fuzzy set (SFS) to express the two-dimensional ambiguous information in which the range of positive, neutral and negative degrees occurs in the complex plane with the unit disk. Considering the vital importance of the concept of CSFSs which is gaining massive attention in the research area of two-dimensional uncertain information, we aim to establish a novel methodology for multi-criteria group decision-making (MCGDM). This methodology allows us to calculate both the weights of the decision-makers (DMs) and the weights of the criteria objectively. For this goal, we first introduce a new entropy measure function that measures the fuzziness degree associated with a CSFS to compute the unknown criteria weights in this methodology. Then, we present an innovative Complex Proportional Assessment (COPRAS) method based on the proposed entropy measure in the complex spherical fuzzy environment. Besides, we solve a strategic supplier selection problem which is very important to maximize the efficiency of the trading companies. Finally, we present some comparative analyses with some existing methods in different set theories, including the entropy measures, to show the feasibility and usefulness of the proposed method in the decision-making process.\u0000PDF  XML","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"38 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138530666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
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
现在去查看 取消
×
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：604180095
Book学术官方微信
小红书