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Learning Bayesian Network Structures Without Variable Ordering Influence: A Markov Blanket-Based Approach 无变序影响的贝叶斯网络结构学习:一种基于马尔可夫毛毯的方法
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-26 DOI: 10.1111/coin.70175
Lívia Carvalho Dâmaso, Edimilson Batista dos Santos, Fabio Gagliardi Cozman

Several methods in the literature address the discovery, from data, of a directed acyclic graph that is the structure of a Bayesian network. This is a challenging task, due to the combinatorial nature of the space of graphs, which grows exponentially with the number of variables. This paper proposes a new method to learn Bayesian network structures, based on Markov blankets. The proposed method, called DMBBN (Dynamic Markov Blanket Bayesian Network), builds a graph from a set of local structures that are induced based on the Markov blanket of each variable of interest. The local structures are combined to generate a single Bayesian network structure, without repetition of nodes and without cycles. The experiments carried out show that DMBBN is promising, especially in large datasets, as it does not depend on a prior ordering of the variables.

文献中的几种方法解决了从数据中发现贝叶斯网络结构的有向无环图的问题。这是一项具有挑战性的任务,因为图空间的组合性质随着变量的数量呈指数增长。本文提出了一种基于马尔可夫毯子的贝叶斯网络结构学习新方法。提出的方法,称为DMBBN(动态马尔可夫毯贝叶斯网络),从一组局部结构中构建一个图,这些结构是基于每个感兴趣变量的马尔可夫毯而产生的。这些局部结构被组合成一个单一的贝叶斯网络结构,没有重复的节点和循环。实验表明,DMBBN很有前途,特别是在大型数据集中,因为它不依赖于变量的先验顺序。
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引用次数: 0
RETRACTION: Digitized Droop Control of a High Gain Primitive Converter—General Performance Analysis for Smart City Lighting Application 摘要:高增益原始变换器的数字化下垂控制——智能城市照明应用的一般性能分析
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-23 DOI: 10.1111/coin.70191

RETRACTION: S. S. Kannan, V. Krishnasamy, “ Digitized Droop Control of a High Gain Primitive Converter—General Performance Analysis for Smart City Lighting Application,” Computational Intelligence 37 no. 3 (2021): 14051414, https://doi.org/10.1111/coin.12381.

The above article, published online on 03 September 2020 in Wiley Online Library (wileyonlinelibrary.com) has been retracted by agreement between the journal Editor-in-Chief, Diana Inkpen; and Wiley Periodicals LLC.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.

引用本文:S. S. Kannan, V. Krishnasamy,“高增益原始转换器的数字化低度控制-智能城市照明应用的一般性能分析”,《计算智能》第37期。3 (2021): 1405-1414, https://doi.org/10.1111/coin.12381.The上述文章于2020年9月3日在线发表在Wiley online Library (wileyonlinelibrary.com)上,经主编Diana Inkpen同意撤回;和Wiley期刊有限责任公司。这篇文章是作为嘉宾编辑的一期的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。作者已被告知撤稿。
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引用次数: 0
RETRACTION: Traffic Video-based Intelligent Traffic Control System for Smart Cities using Modified Ant Colony Optimizer 摘要:基于交通视频的改进蚁群优化智能城市智能交通控制系统
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-23 DOI: 10.1111/coin.70188

RETRACTION: K. Ragavan, K. Venkatalakshmi, and K. Vijayalakshmi, “ Traffic Video-based Intelligent Traffic Control System for Smart Cities using Modified Ant Colony Optimizer,” Computational Intelligence 37 no. 1 (2021): 538558, https://doi.org/10.1111/coin.12424.

The above article, published online on 25 November 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 investigation did not find evidence of ethical misconduct by the authors. The authors have been informed of the retraction. They do not agree with the decision to retract.

撤稿:K. Ragavan, K. Venkatalakshmi, K. Vijayalakshmi,“基于交通视频的智能城市交通控制系统的改进蚁群优化算法”,《计算智能》第37期。1 (2021): 538-558, https://doi.org/10.1111/coin.12424.The上述文章于2020年11月25日在线发表在Wiley online Library (wileyonlinelibrary.com)上,经主编Diana Inkpen同意撤回;和Wiley期刊有限责任公司。这篇文章是作为嘉宾编辑的一期的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。调查没有发现作者存在道德不端行为的证据。作者已被告知撤稿。他们不同意撤回的决定。
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引用次数: 0
RETRACTION: Strength Prediction of Paste Filling Material Based on Convolutional Neural Network 基于卷积神经网络的膏体填充材料强度预测
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-23 DOI: 10.1111/coin.70190

RETRACTION: H. Cheng, J. Hu, C. Hu, and F. Deng, “ Strength Prediction of Paste Filling Material Based on Convolutional Neural Network,” Computational Intelligence 37 no. 3 (2021): 13551366, https://doi.org/10.1111/coin.12373.

The above article, published online on 09 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.

引用本文:程辉,胡军,胡超,邓峰,“基于卷积神经网络的膏体填充材料强度预测”,《计算智能》第37期。3 (2021): 1355-1366, https://doi.org/10.1111/coin.12373.The上述文章于2020年7月9日在线发表在Wiley在线图书馆(wileyonlinelibrary.com)上,经主编Diana Inkpen同意撤回;和Wiley期刊有限责任公司。这篇文章是作为嘉宾编辑的一期的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。作者已被告知撤稿。
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引用次数: 0
RETRACTION: Research on Group Behavior Model Based on Neural Network Computing 基于神经网络计算的群体行为模型研究
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-23 DOI: 10.1111/coin.70189

RETRACTION: J. Wei, Y. Tian, and J. Geng, “ Research on Group Behavior Model Based on Neural Network Computing,” Computational Intelligence 38 no. 3 (2022): 731746, https://doi.org/10.1111/coin.12403.

The above article, published online on 29 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.

引用本文:魏军,田勇,耿军,“基于神经网络计算的群体行为模型研究”,《计算智能》第38期。3 (2022): 731-746, https://doi.org/10.1111/coin.12403.The上述文章于2020年9月29日在线发表在Wiley在线图书馆(wileyonlinelibrary.com)上,经主编Diana Inkpen同意撤回;和Wiley期刊有限责任公司。这篇文章是作为嘉宾编辑的一期的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。作者已被告知撤稿。
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引用次数: 0
RETRACTION: Artificial Intelligence-based Novel Scheme for Location Area Planning in Cellular Networks 基于人工智能的蜂窝网络位置区域规划新方案
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-23 DOI: 10.1111/coin.70192

RETRACTION: V. Vimal, T. Singh, S. Qamar, B. Nautiyal, K. U. Singh, and A. Kumar, “ Artificial Intelligence-based Novel Scheme for Location Area Planning in Cellular Networks,” Computational Intelligence 37 no. 3 (2021): 13381354, https://doi.org/10.1111/coin.12371.

The above article, published online on 15 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.

引用本文:V. Vimal, T. Singh, S. Qamar, B. nautial, k.u. Singh, A. Kumar,“基于人工智能的蜂窝网络位置区域规划新方案”,《计算智能》第37期。3 (2021): 1338-1354, https://doi.org/10.1111/coin.12371.The上述文章于2020年7月15日在线发表在Wiley online Library (wileyonlinelibrary.com)上,经主编Diana Inkpen同意撤回;和Wiley期刊有限责任公司。这篇文章是作为嘉宾编辑的一期的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。作者已被告知撤稿。
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引用次数: 0
RETRACTION: Service Quality Evaluation of Satellite Data Distribution System Based on BP-IPA 基于BP-IPA的卫星数据分发系统服务质量评价
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-23 DOI: 10.1111/coin.70185

RETRACTION: J. Jin, L. Lu, and X. Yan, “ Service Quality Evaluation of Satellite Data Distribution System Based on BP-IPA,” Computational Intelligence 37 no. 3 (2021): 12361253, https://doi.org/10.1111/coin.12364.

The above article, published online on 09 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 investigation did not find evidence of ethical misconduct by the authors. The authors have been informed of the retraction. They do not agree with the decision to retract.

引用本文:金俊,陆磊,闫晓霞,“基于BP-IPA的卫星数据分发系统服务质量评估”,《计算机工程》第37期。3 (2021): 1236-1253, https://doi.org/10.1111/coin.12364.The上述文章于2020年7月9日在线发表在Wiley在线图书馆(wileyonlinelibrary.com)上,经主编Diana Inkpen同意撤回;和Wiley期刊有限责任公司。这篇文章是作为嘉宾编辑的一期的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。调查没有发现作者存在道德不端行为的证据。作者已被告知撤稿。他们不同意撤回的决定。
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引用次数: 0
RETRACTION: Dynamic Planning Method of Economic Operation Optimization Model 摘要:经济运行优化模型的动态规划方法
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-23 DOI: 10.1111/coin.70187

RETRACTION: J. Jing, “ Dynamic Planning Method of Economic Operation Optimization Model,” Computational Intelligence 38 no. 3 (2022): 829841, https://doi.org/10.1111/coin.12423.

The above article, published online on 22 November 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.

《经济运行优化模型的动态规划方法》,《计算智能》第38期。3 (2022): 829-841, https://doi.org/10.1111/coin.12423.The上述文章于2020年11月22日在线发表在Wiley在线图书馆(wileyonlinelibrary.com),经主编Diana Inkpen同意撤回;和Wiley期刊有限责任公司。这篇文章是作为嘉宾编辑的一期的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。作者已被告知撤稿。
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引用次数: 0
RETRACTION: Artificial Intelligence-based Wind Forecasting Using Variational Mode Decomposition 基于变分模态分解的人工智能风预报
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-23 DOI: 10.1111/coin.70186

RETRACTION: V. Vanitha, J.G. Sophia, R. Resmi, and D. Raphael, “ Artificial Intelligence-based Wind Forecasting Using Variational Mode Decomposition,” Computational Intelligence 37 no. 3 (2021): 10341046, https://doi.org/10.1111/coin.12331.

The above article, published online on 12 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 have been informed of the retraction.

引用本文:V. Vanitha, J.G. Sophia, R. Resmi, D. Raphael,“基于人工智能的变分模态分解的风力预测”,《计算智能》第37期。3 (2021): 1034-1046, https://doi.org/10.1111/coin.12331.The上述文章于2020年5月12日在线发表在Wiley online Library (wileyonlinelibrary.com)上,经主编Diana Inkpen同意撤回;和Wiley期刊有限责任公司。这篇文章是作为嘉宾编辑的一期的一部分发表的。经过出版商的调查,各方都得出结论,这篇文章被接受完全是基于一个妥协的同行评议过程。编辑们因此决定撤回这篇文章。作者已被告知撤稿。
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引用次数: 0
Monitoring a Community's Emotional Landscape: Harnessing Social Media Data to Enhance Telemedicine Services for Mental Health During Disaster 监测社区的情绪状况:利用社会媒体数据加强灾害期间心理健康的远程医疗服务
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2026-01-21 DOI: 10.1111/coin.70183
Divya Gupta, Shampa Chakraverty
<div> <p>Disasters severely impact community mental health, as exemplified by the COVID-19 pandemic. While the pandemic spurred social media and telemedicine adoption, a crucial gap persists in integrating them for assistance in <i>community-as-a-patient</i> care. To bridge this, we propose a novel methodology to correlate community emotional changes with external events during a disaster. For this, we curated two datasets for an urban community for the COVID-19 period: <i>UMBlog</i> (microblogs) and <i>EvLog</i> (real-world on-ground events). We fine-tuned <i>EmoRegressor</i> which predicts emotion intensities for <i>anger</i>, <i>fear</i>, <i>joy</i>, and <i>sadness</i> from text (Pearson Correlation coefficient <span></span><math> <semantics> <mrow> <mi>r</mi> <mo>></mo> <mn>0</mn> <mo>.</mo> <mn>8</mn> </mrow> <annotation>$$ r>0.8 $$</annotation> </semantics></math> and Mean Square Error <span></span><math> <semantics> <mrow> <mi>M</mi> <mi>S</mi> <mi>E</mi> <mo><</mo> <mn>0</mn> <mo>.</mo> <mn>02</mn> </mrow> <annotation>$$ MSE<0.02 $$</annotation> </semantics></math>). Applying <i>EmoRegressor</i> on <i>UMBlog</i> generated collective emotion time series. These emotion time series, alongside with event time series for <i>EvLog</i> are analyzed to reveal synchronized patterns and significant emotion transitions using change point detection and time coherence analysis. Subsequently, time-proximity analysis and event attribution yield Attribution Score (<span></span><math> <semantics> <mrow> <mi>A</mi> <mi>S</mi> </mrow> <annotation>$$ AS $$</annotation> </semantics></math>) values for events triggering emotional changes. To validate <span></span><math> <semantics> <mrow> <mi>A</mi> <mi>S</mi> </mrow> <annotation>$$ AS $$</annotation> </semantics></math> robustness, we conducted internal consistency check involving Large Language Models (LLMs) assessment and independent news validation. Further, we provide <span></span><math> <semantics> <mrow> <mi>A</mi> <mi>S</mi> </mrow> <annotation>$$ AS $$</annotation> </semantics></math>-informed recommendations for telemedicine to plan Psychological First Aid (PFA) targeting <i>community-as-a-patient</i> care. Our analysis underscores the synergy of social media and computational methods with telemedicine in foster
灾害严重影响社区心理健康,COVID-19大流行就是一个例子。虽然大流行刺激了社交媒体和远程医疗的采用,但在将它们纳入社区即患者护理方面仍然存在重大差距。为了解决这个问题,我们提出了一种新的方法,将社区情绪变化与灾难期间的外部事件联系起来。为此,我们为2019冠状病毒病期间的城市社区策划了两个数据集:UMBlog(微博)和EvLog(现实世界的现场事件)。我们对EmoRegressor进行了微调,它可以从文本中预测愤怒、恐惧、快乐和悲伤的情绪强度(Pearson相关系数r &gt; 0)。8 $$ r>0.8 $$和均方误差M S E &lt;02 $$ MSE<0.02 $$)。在UMBlog上应用EmoRegressor生成集体情绪时间序列。通过分析这些情绪时间序列以及EvLog的事件时间序列,利用变化点检测和时间一致性分析来揭示同步模式和重要的情绪转变。随后,对引发情绪变化的事件进行时间邻近分析和事件归因,得出归因得分(A S $$ AS $$)值。为了验证A S $$ AS $$稳健性,我们进行了内部一致性检查,包括大型语言模型(llm)评估和独立新闻验证。此外,我们为远程医疗计划心理急救(PFA)提供了A S $$ AS $$知情建议,目标是社区作为患者的护理。我们的分析强调了社交媒体和计算方法与远程医疗的协同作用,以促进社区规模的响应性医疗保健系统。
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引用次数: 0
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Computational Intelligence
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