Computational Intelligence最新文献

{"title":"Retraction","authors":"","doi":"10.1111/coin.70111","DOIUrl":"https://doi.org/10.1111/coin.70111","url":null,"abstract":"<p><b>RETRACTION</b>: <span>H. Rajadurai</span> and <span>U.D. Gandhi</span>, “ <span>An Empirical Model in Intrusion Detection Systems Using Principal Component Analysis and Deep Learning Models</span>,” <i>Computational Intelligence</i> <span>37</span> no. <span>3</span> (<span>2021</span>): <span>1111</span>–<span>1124</span>, https://doi.org/10.1111/coin.12342.</p><p>The above article, published online on 05 June 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70111","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction","authors":"","doi":"10.1111/coin.70110","DOIUrl":"https://doi.org/10.1111/coin.70110","url":null,"abstract":"<p><b>RETRACTION</b>: <span>A. Rajendran</span> and <span>M. Rajappa</span>, “ <span>Efficient Signal Selection Using Supervised Learning Model for Enhanced State Restoration</span>,” <i>Computational Intelligence</i> <span>37</span> no. <span>3</span> (<span>2021</span>): <span>1141</span>–<span>1154</span>, https://doi.org/10.1111/coin.12344.</p><p>The above article, published online on 17 June 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors do not agree with the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70110","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction","authors":"","doi":"10.1111/coin.70109","DOIUrl":"https://doi.org/10.1111/coin.70109","url":null,"abstract":"<p><b>RETRACTION</b>: <span>L. Sun</span>, <span>X. Xu</span>, <span>Y. Yang</span>, <span>W. Liu</span>, and <span>J. Jin</span>, “ <span>Knowledge Mapping of Supply Chain Risk Research Based on CiteSpace</span>,” <i>Computational Intelligence</i> <span>36</span> no. <span>4</span> (<span>2020</span>): <span>1686</span>–<span>1703</span>, https://doi.org/10.1111/coin.12306.</p><p>The above article, published online on 04 March 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction","authors":"","doi":"10.1111/coin.70106","DOIUrl":"https://doi.org/10.1111/coin.70106","url":null,"abstract":"<p><b>RETRACTION</b>: <span>X. Chen</span>, <span>S. Zhang</span>, <span>X. Ding</span>, <span>S. M. Kadry</span>, and <span>C-H Hsu</span>, “ <span>IoT Cloud Platform for Information Processing in Smart City</span>,” <i>Computational Intelligence</i> <span>37</span>, no. <span>3</span> (<span>2021</span>): <span>1428</span>–<span>1444</span>, https://doi.org/10.1111/coin.12387.</p><p>The above article, published online on 05 August 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction","authors":"","doi":"10.1111/coin.70107","DOIUrl":"https://doi.org/10.1111/coin.70107","url":null,"abstract":"<p><b>RETRACTION</b>: <span>X. Xie</span>, <span>R. Lin</span>, <span>B. Yu</span>, <span>W. Wen</span>, <span>F. Gu</span>, <span>C. B. Sivaparthipan</span>, and <span>T. Vadivel</span>, “ <span>Internet of Things Assisted Radio Frequency Identification Based Mine Safety Management Platform</span>,” <i>Computational Intelligence</i> <span>37</span>, no. <span>3</span> (<span>2021</span>): <span>1322</span>–<span>1337</span>, https://doi.org/10.1111/coin.12369.</p><p>The above article, published online on 14 September 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70107","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction","authors":"","doi":"10.1111/coin.70108","DOIUrl":"https://doi.org/10.1111/coin.70108","url":null,"abstract":"<p><b>RETRACTION</b>: <span>Y. He</span>, “ <span>Study on the Algorithm for Smart Community Sensor Network Routing with Adaptive Optimization via Cluster Head Election</span>,” <i>Computational Intelligence</i> <span>36</span> no. <span>4</span> (<span>2020</span>): <span>1663</span>–<span>1671</span>, https://doi.org/10.1111/coin.12304.</p><p>The above article, published online on 28 February 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70108","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction","authors":"","doi":"10.1111/coin.70104","DOIUrl":"https://doi.org/10.1111/coin.70104","url":null,"abstract":"<p><b>RETRACTION</b>: <span>J. Jiang</span>, “ <span>Sustainable Achievement Efficiency of Transport Energy Consumption Based on Indicator Analysis</span>,” <i>Computational Intelligence</i> <span>37</span>, no. <span>3</span> (<span>2021</span>): <span>1268</span>–<span>1285</span>, https://doi.org/10.1111/coin.12366.</p><p>The above article, published online on 02 July 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors have been informed of the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction","authors":"","doi":"10.1111/coin.70105","DOIUrl":"https://doi.org/10.1111/coin.70105","url":null,"abstract":"<p><b>RETRACTION</b>: <span>B. S. Kandula</span>, <span>P. V. Kalluru</span>, and <span>S. P. Inty</span>, “ <span>Design of Area Efficient VLSI Architecture for Carry Select Adder Using Logic Optimization Technique</span>,” <i>Computational Intelligence</i> <span>37</span> no. <span>3</span> (<span>2021</span>): <span>1155</span>–<span>1165</span>, https://doi.org/10.1111/coin.12347.</p><p>The above article, published online on 27 May 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC. The article was published as part of a guest-edited issue. Following an investigation by the publisher, all parties have concluded that this article was accepted solely on the basis of a compromised peer review process. The editors have therefore decided to retract the article. The authors do not agree with the retraction.</p>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/coin.70105","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ship Trajectory Prediction Method Based on Multi-Layer Recurrent Neural Network Structure and AIS Data Driven","authors":"Jiatong Li,&nbsp;Xiang Wang,&nbsp;Jin Chen,&nbsp;Duan Zhu,&nbsp;Cong Zhang,&nbsp;Zuguo Chen,&nbsp;Yi Huang","doi":"10.1111/coin.70079","DOIUrl":"https://doi.org/10.1111/coin.70079","url":null,"abstract":"<div>\u0000 \u0000 <p>In the current era, improving the intelligence level of vessels and ensuring the construction of a safer and more reliable maritime traffic environment has become an extremely crucial task. And intelligent vessel trajectory prediction undoubtedly impacts the intelligent navigation and collision avoidance systems of vessels. However, unfortunately, in the past few decades, the analysis work on massive trajectory data has been relatively scarce. At the same time, whether the current research focus on vessel trajectory prediction is short-term or long-term, it has led to the situation that the accuracy of trajectory prediction is far from satisfactory. In view of this, this study innovatively introduces a data-driven Long Short-Term Memory (LSTM) approach for the Automatic Identification System (AIS). This method realizes the accurate prediction of the entire vessel trajectory through the fusion of forward and reverse sub-networks (named FRA-LSTM here). Specifically, the forward sub-network in our proposed method cleverly combines LSTM with an attention mechanism to accurately extract key factors from the forward past trajectory data. Correspondingly, the reverse sub-network organically integrates the attention mechanism with a Bidirectional LSTM (BiLSTM) to simultaneously mine the unique characteristics of the backward historical trajectory data. Finally, the features output by the forward and reverse sub-networks are combined so as to successfully construct the final expected trajectory. After a large number of comprehensive and in-depth tests, we are delighted to find that compared with BiLSTM and Seq2Seq, the method proposed in this study has achieved an average increase of 96.8% and 86.5% regarding the accuracy of short-term and mid-term trajectory prediction respectively. More importantly, in the domain of long-term trajectory prediction, the average accuracy of our method is as high as 90.1% higher than that of BiLSTM and Seq2Seq, showing excellent performance advantages.</p>\u0000 </div>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144646957","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}

{"title":"A Predictive Model for Information Diffusion Combining Individual Association and Group Influence","authors":"Haohan Ma,&nbsp;Chao Liu","doi":"10.1111/coin.70093","DOIUrl":"https://doi.org/10.1111/coin.70093","url":null,"abstract":"<div>\u0000 \u0000 <p>Micro-level prediction of information diffusion aims to predict the next user to participate in the diffusion process, and it is an important task in the field of social network analysis. However, the existing research has two main issues. On one hand, they rely solely on social relationships to learn users' social homophily, leading to an insufficient capture of complex diffusion relationships among users. On the other hand, they overlook the impact of group influence on cascade diffusion, which limits predictive performance. To address the above issues, this study proposes a predictive model for Information Diffusion combining Individual Association and Group Influence, denoted by IGIDP. First, a user diffusion association graph is constructed based on cascade sequences, using a Graph Convolutional Network (GCN) to learn users' structural features. A gated fusion mechanism is then employed to enhance feature representation for better learning of the impact of user diffusion relationships on cascades. Next, a hypergraph is built through user-cascade interactions, and a hypergraph attention network is introduced to learn users' global interaction feature representations. Then, a novel Transformer variant is designed to capture both individual user and group effects on cascade diffusion. Finally, a decoder provides the diffusion probability for each user. Experimental results on four public, real-world datasets show that the IGIDP model achieves improvements in Hits@<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>k</mi>\u0000 </mrow>\u0000 <annotation>$$ k $$</annotation>\u0000 </semantics></math> and Map@<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>k</mi>\u0000 </mrow>\u0000 <annotation>$$ k $$</annotation>\u0000 </semantics></math> by 0.42%–20.94% and 1.66%–25.20%, respectively.</p>\u0000 </div>","PeriodicalId":55228,"journal":{"name":"Computational Intelligence","volume":"41 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615029","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}