International Journal of Computers and Applications最新文献_第10页

Retracted Article: Key technologies of cloud computing-based IoT data mining 基于云计算的物联网数据挖掘关键技术

International Journal of Computers and Applications Pub Date : 2023-02-01 DOI: 10.1080/1206212X.2020.1738665

Rongqing Zhuo, Zhongxian Bai

{"title":"Retracted Article: Key technologies of cloud computing-based IoT data mining","authors":"Rongqing Zhuo, Zhongxian Bai","doi":"10.1080/1206212X.2020.1738665","DOIUrl":"https://doi.org/10.1080/1206212X.2020.1738665","url":null,"abstract":"We, the Editor and Publisher of the International Journal of Computers and Applications, have retracted the following article which was part of the Special Issue on Advanced Security Techniques for Cloud Computing and Big Data - New Directions: Rongqing Zhuo & Zhongxian Bai (2020) Key technologies of cloud computing-based IoT data mining, International Journal of Computers and Applications, DOI: 10.1080/1206212X.2020.1738665 Since publication, it came to our attention that the articles published in this Special Issue were not reviewed fully in line with the journal's peer review standards and policy. We did not find any evidence of misconduct by the authors. However, in order to ensure full assessment has been conducted, we sought expert advice on the validity and quality of the published articles from independent peer reviewers. Following this post publication peer review, the Editor has determined that the articles do not meet the required scholarly standards to remain published in the journal, and therefore has taken the decision to retract. The concerns raised have been shared with the authors and they have been given the opportunity to respond. The authors have been informed about the retraction of the article. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"37 1","pages":"196 - 203"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74120024","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: 3

Retracted Article: Track recognition algorithm based on neural network for rail transit 基于神经网络的轨道交通轨道识别算法

International Journal of Computers and Applications Pub Date : 2023-02-01 DOI: 10.1080/1206212X.2020.1730070

Pengcheng Li, Hui-Ping Cheng

引用次数: 1

Retracted Article: The role of computer security management in preventing financial technology risks 计算机安全管理在防范金融技术风险中的作用

International Journal of Computers and Applications Pub Date : 2023-02-01 DOI: 10.1080/1206212X.2020.1738664

Caixia Chen, Sheng-yi Zhou, Qingqing Chang

{"title":"Retracted Article: The role of computer security management in preventing financial technology risks","authors":"Caixia Chen, Sheng-yi Zhou, Qingqing Chang","doi":"10.1080/1206212X.2020.1738664","DOIUrl":"https://doi.org/10.1080/1206212X.2020.1738664","url":null,"abstract":"We, the Editor and Publisher of the International Journal of Computers and Applications, have retracted the following article which was part of the Special Issue on Advanced Security Techniques for Cloud Computing and Big Data - New Directions: Caixia Chen, Sheng Zhou & Qingqing Chang (2020) The role of computer security management in preventing financial technology risks, International Journal of Computers and Applications, DOI: 10.1080/1206212X.2020.1738664 Since publication, it came to our attention that the articles published in this Special Issue were not reviewed fully in line with the journal's peer review standards and policy. We did not find any evidence of misconduct by the authors. However, in order to ensure full assessment has been conducted, we sought expert advice on the validity and quality of the published articles from independent peer reviewers. Following this post publication peer review, the Editor has determined that the articles do not meet the required scholarly standards to remain published in the journal, and therefore has taken the decision to retract. The concerns raised have been shared with the authors and they have been given the opportunity to respond. The authors have been informed about the retraction of the article. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"10 1","pages":"187 - 195"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76254182","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

Retracted Article: Development of computer-based agricultural remote intelligent information monitoring system 基于计算机的农业远程智能信息监控系统的开发

International Journal of Computers and Applications Pub Date : 2023-02-01 DOI: 10.1080/1206212X.2020.1730567

Hongxiang Zhang, Shaojie Shi, Yongkai Wu, Tong Feng

{"title":"Retracted Article: Development of computer-based agricultural remote intelligent information monitoring system","authors":"Hongxiang Zhang, Shaojie Shi, Yongkai Wu, Tong Feng","doi":"10.1080/1206212X.2020.1730567","DOIUrl":"https://doi.org/10.1080/1206212X.2020.1730567","url":null,"abstract":"We, the Editor and Publisher of the International Journal of Computers and Applications, have retracted the following article which was part of the Special Issue on Advanced Security Techniques for Cloud Computing and Big Data - New Directions: Hongxiang Zhang, Shaojie Shi, Yongkai Wu & Tong Feng (2020) Development of computer-based agricultural remote intelligent information monitoring system, International Journal of Computers and Applications, DOI: 10.1080/1206212X.2020.1730567 Since publication, it came to our attention that the articles published in this Special Issue were not reviewed fully in line with the journal's peer review standards and policy. We did not find any evidence of misconduct by the authors. However, in order to ensure full assessment has been conducted, we sought expert advice on the validity and quality of the published articles from independent peer reviewers. Following this post publication peer review, the Editor has determined that the articles do not meet the required scholarly standards to remain published in the journal, and therefore has taken the decision to retract. The concerns raised have been shared with the authors and they have been given the opportunity to respond. The authors have been informed about the retraction of the article. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"68 1","pages":"151 - 160"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78256439","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

Two image quality assessment methods based on evidential modeling and uncertainty: application to automatic iris identification systems 基于证据建模和不确定性的两种图像质量评估方法在虹膜自动识别系统中的应用

International Journal of Computers and Applications Pub Date : 2023-01-04 DOI: 10.1080/1206212X.2022.2162671

Amina Kchaou, Sonda Ammar Bouhamed

{"title":"Two image quality assessment methods based on evidential modeling and uncertainty: application to automatic iris identification systems","authors":"Amina Kchaou, Sonda Ammar Bouhamed","doi":"10.1080/1206212X.2022.2162671","DOIUrl":"https://doi.org/10.1080/1206212X.2022.2162671","url":null,"abstract":"The performance of an Automatic iris Identification System is impacted by both the poor quality of iris images and the uncertainty of information. Assessing image quality and rejecting poor-quality images can substantially improve the performances of the current biometric systems. The main idea behind our proposed Image Quality Assessment approaches is to take advantage, firstly, of the texture of iris images and, secondly, of the uncertainty of these information. This is achieved by defining a set of Contextual Quality Indicators extracted from the image texture and transforming them into Quality Assessment Criteria in the evidential framework, taking into account the information uncertainty degree. The Contextual Quality Indicators are defined based on a priori analysis of the context of the application. We use ‘iris’ as the context of application. Generally, only the normalized iris image is saved, i.e. the acquired iris image is not always available. So, the main advantage of our approaches over other related methods is that it can act in the normalization level of the processing chain to reject poor-quality images. So that, the subsequent Automatic iris Identification System can process only good-quality images, which result in better recognition rate performance. The functioning of our evidential approaches is illustrated using image samples from CASIA 1.0 database. The performance of over the proposed image quality assessment approaches is compared with the standard iris identification system without an image quality assessment step. A statistical test, based on 95% confidence interval, is used to assess if there is a statistically significant difference between the performances of the proposed approaches. The CASIA 1.0 has been used to make the comparison. The comparison results highlight the effectiveness of the proposed approaches for iris domain of applications. The source code of our paper is available at https://github.com/Sonda09/IIQA","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"214 1","pages":"254 - 268"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88068038","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: 2

Retracted Article: Research on digital image wavelet transform filtering optimization processing method based on DSP Internet of Things 基于DSP物联网的数字图像小波变换滤波优化处理方法研究

International Journal of Computers and Applications Pub Date : 2023-01-02 DOI: 10.1080/1206212X.2019.1706031

Dahai Yu, Juan Zhu

{"title":"Retracted Article: Research on digital image wavelet transform filtering optimization processing method based on DSP Internet of Things","authors":"Dahai Yu, Juan Zhu","doi":"10.1080/1206212X.2019.1706031","DOIUrl":"https://doi.org/10.1080/1206212X.2019.1706031","url":null,"abstract":"We, the Editor and Publisher of the International Journal of Computers and Applications, have retracted the following article which was part of the Special Issue on Advanced Security Techniques for Cloud Computing and Big Data - New Directions: Dahai Yu & Juan Zhu (2019) Research on digital image wavelet transform filtering optimization processing method based on DSP Internet of Things, International Journal of Computers and Applications, DOI: 10.1080/1206212X.2019.1706031 Since publication, it came to our attention that the articles published in this Special Issue were not reviewed fully in line with the journal's peer review standards and policy. We did not find any evidence of misconduct by the authors. However, in order to ensure full assessment has been conducted, we sought expert advice on the validity and quality of the published articles from independent peer reviewers. Following this post publication peer review, the Editor has determined that the articles do not meet the required scholarly standards to remain published in the journal, and therefore has taken the decision to retract. The concerns raised have been shared with the authors and they have been given the opportunity to respond. The authors have been informed about the retraction of the article.   We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"93 7 1","pages":"77 - 87"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83499544","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

Exploring question generation in medical intelligent system using entailment 探索蕴涵在医疗智能系统中的问题生成

International Journal of Computers and Applications Pub Date : 2022-12-31 DOI: 10.1080/1206212X.2022.2161147

Aarthi Paramasivam, S. Nirmala

{"title":"Exploring question generation in medical intelligent system using entailment","authors":"Aarthi Paramasivam, S. Nirmala","doi":"10.1080/1206212X.2022.2161147","DOIUrl":"https://doi.org/10.1080/1206212X.2022.2161147","url":null,"abstract":"The concept of a medical intelligent system has steadily garnered attention as modern technology advances. An intelligent medical system is a medical system that develops a certain amount of intelligence and performs a task without the assistance of a human. A chatbot can be thought of as a medical intelligent consultation system. The chatbot's question generation quality can be improved by creating more relevant questions depending on the patient's demands. Question generation, in addition to chatbots, is used to assess a learner's comprehension. This paper proposes a two-step approach to question generation. The first stage generates the entailment for the sentence that the question should be generated for. The generated entailed sentences are used to create questions in the second step. By generating questions from the original sentence, one can discover relevant information about the sentence. Furthermore, to increase the size of the entailment dataset, a data augmentation approach is used in this paper. The proposed work in this paper focuses on the importance of entailment in question generation and also studies the influence of entailment on the questions generated. Since data augmentation is employed, the overall effectiveness of data augmentation on the model is also investigated.","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"14 1","pages":"248 - 253"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86310581","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

SBCDetector: a hybrid approach to detect second-order similarity or change SBCDetector:一种检测二阶相似性或变化的混合方法

International Journal of Computers and Applications Pub Date : 2022-12-20 DOI: 10.1080/1206212X.2022.2149117

Ritu Garg, R. K. Singh

引用次数: 0

Reconstruction probability-based anomaly detection using variational auto-encoders 基于重构概率的变分自编码器异常检测

International Journal of Computers and Applications Pub Date : 2022-11-08 DOI: 10.1080/1206212X.2022.2143026

Touseef Iqbal, Shaima Qureshi

引用次数: 1

A review of challenges and solutions in the design and implementation of deep graph neural networks 深度图神经网络设计与实现中的挑战与解决方案综述

International Journal of Computers and Applications Pub Date : 2022-10-18 DOI: 10.1080/1206212X.2022.2133805

Aafaq Mohi ud din, Shaima Qureshi

{"title":"A review of challenges and solutions in the design and implementation of deep graph neural networks","authors":"Aafaq Mohi ud din, Shaima Qureshi","doi":"10.1080/1206212X.2022.2133805","DOIUrl":"https://doi.org/10.1080/1206212X.2022.2133805","url":null,"abstract":"The study of graph neural networks has revealed that they can unleash new applications in a variety of disciplines using such a basic process that we cannot imagine in the context of other deep learning designs. Many limitations limit their expressiveness, and researchers are working to overcome them to fully exploit the power of graph data. There are a number of publications that explore graph neural networks (GNNs) restrictions and bottlenecks, but the common thread that runs through them all is that they can all be traced back to message passing, which is the key technique we use to train our graph models. We outline the general GNN design pipeline in this study as well as discuss solutions to the over-smoothing problem, categorize the solutions, and identify open challenges for further research. Abbreviations: CGNN: Continuous Graph Neural Networks; CNN: Convolution NeuralNetwork; DeGNN: Decomposition Graph Neural Network; DGN: Directional GraphNetworks; DGN: Differentiable Group Normalization; DL: Deep Learning; EGAI:Enhancing GNNs by a High-quality Aggregation of Beneficial Information; GAT: GraphAttention Network; GCN: Graph Convolutional Network; GDC: Graph Drop Connect; GDR: Group Distance Ratio; GNN: Graph Neural Network; GRAND: GraphRandom Neural Networks; IIG: Instance Information Gain; MAD: Man AverageDistance; PDE-GCN: Partial Differential Equations-GCN; PTDNet: ParameterizedTopological Denoising network; TDGNN: Tree Decomposition Graph NeuralNetwork;","PeriodicalId":39673,"journal":{"name":"International Journal of Computers and Applications","volume":"105 1","pages":"221 - 230"},"PeriodicalIF":0.0,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85734756","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