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Retracted: Deep Learning Analysis of English Education Blended Teaching in Virtual Reality Environment 虚拟现实环境下英语教育混合式教学的深度学习分析
4区 计算机科学
Scientific Programming Pub Date : 2023-09-27 DOI: 10.1155/2023/9815350
Scientific Programming
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引用次数: 0
Retracted: Application of Three-Dimensional Image Reconstruction Technology in Neurogenic Intestinal Nursing Tasks 撤稿:三维图像重建技术在神经源性肠道护理任务中的应用
4区 计算机科学
Scientific Programming Pub Date : 2023-09-27 DOI: 10.1155/2023/9816825
Scientific Programming
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引用次数: 0
Retracted: Enlightenment of Physical Education Teaching Experiment Based on Cloud Computing to the Current Physical Education Reform 撤下:基于云计算的体育教学实验对当前体育教学改革的启示
4区 计算机科学
Scientific Programming Pub Date : 2023-09-27 DOI: 10.1155/2023/9821378
Scientific Programming
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引用次数: 0
Retracted: Construction of a Six-Pronge Intelligent Physical Education Classroom Model in Colleges and Universities 撤下:高校体育智能化课堂模式的构建
4区 计算机科学
Scientific Programming Pub Date : 2023-09-27 DOI: 10.1155/2023/9769278
Scientific Programming
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引用次数: 0
Retracted: Dynamic Early-Warning Model of College Students’ Psychological Crisis Based on Characteristic Attribute 基于特征属性的大学生心理危机动态预警模型
4区 计算机科学
Scientific Programming Pub Date : 2023-09-27 DOI: 10.1155/2023/9803492
Scientific Programming
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引用次数: 0
Retracted: The Use of Genetic Algorithm, Multikernel Learning, and Least-Squares Support Vector Machine for Evaluating Quality of Teaching 使用遗传算法、多核学习和最小二乘支持向量机评估教学质量
4区 计算机科学
Scientific Programming Pub Date : 2023-09-20 DOI: 10.1155/2023/9808730
Scientific Programming
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引用次数: 0
Retracted: Prediction of College Students’ Employment Rate Based on Gray System 基于灰色系统的大学生就业率预测
4区 计算机科学
Scientific Programming Pub Date : 2023-09-20 DOI: 10.1155/2023/9893045
Scientific Programming
{"title":"Retracted: Prediction of College Students’ Employment Rate Based on Gray System","authors":"Scientific Programming","doi":"10.1155/2023/9893045","DOIUrl":"https://doi.org/10.1155/2023/9893045","url":null,"abstract":"<jats:p />","PeriodicalId":22091,"journal":{"name":"Scientific Programming","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136307651","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
Retracted: An Effective Hybrid Multiobjective Flexible Job Shop Scheduling Problem Based on Improved Genetic Algorithm 基于改进遗传算法的混合多目标柔性作业车间调度问题
4区 计算机科学
Scientific Programming Pub Date : 2023-09-20 DOI: 10.1155/2023/9791030
Scientific Programming
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引用次数: 0
Dual-Core Adaptive NLM Image Denoising Algorithm Based on Variable-Size Window and Neighborhood Multifeatures 基于变大小窗口和邻域多特征的双核自适应NLM图像去噪算法
4区 计算机科学
Scientific Programming Pub Date : 2023-09-09 DOI: 10.1155/2023/8855652
Jing Mao, Lianming Sun, Jie Chen, Shunyuan Yu
{"title":"Dual-Core Adaptive NLM Image Denoising Algorithm Based on Variable-Size Window and Neighborhood Multifeatures","authors":"Jing Mao, Lianming Sun, Jie Chen, Shunyuan Yu","doi":"10.1155/2023/8855652","DOIUrl":"https://doi.org/10.1155/2023/8855652","url":null,"abstract":"To solve the problem that the similarity calculation between neighbors was easily disturbed by noise in the traditional nonlocal mean (NLM) denoising algorithm, a dual-core NLM denoising algorithm based on neighborhood multifeatures and variable-size search window was proposed. The algorithm first proposed to use the eigenvalues of the structure tensor to classify the region where the target pixel points were located and used different sizes of the search window to search for similar neighborhoods for target pixel points in different categories of the region, thus effectively avoiding the problem of oversmoothing or inadequate denoising of the image caused by the use of the global size. Then, the gradient features between image blocks were defined and combined with grayscale features and spatial features to measure the similarity of neighborhood blocks, which solved the problem of noise interfering with the search of similar blocks. Then, an adaptive algorithm with Gaussian–Sinusoidal dual kernel function and quantitative estimation of the optimal values of the filtering parameters was designed to calculate the neighborhood similarity weights to improve the accuracy of image denoising. Finally, the similarity weights were used to weight and average the search neighborhood of the target pixel points to achieve the denoising of the target pixel points. To test the effectiveness of the algorithm, denoising tests were performed using multiple standard grayscale images with different levels of Gaussian white noise added and compared with several advanced denoising algorithms. The experimental results showed that the algorithm was effective. The algorithm improved the image peak signal-to-noise ratio by more than 56.54% on average when Gaussian white noise was removed, and the structural similarity reached more than 0.701 on average. Compared with the traditional NLM algorithm and other improved algorithms, the algorithm proposed in this paper had strong denoising ability, better protection of edges and texture details, and the quality of the image was greatly improved, which had a good application prospect.","PeriodicalId":22091,"journal":{"name":"Scientific Programming","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136108286","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
Retracted: Investigation and Interpersonal Relationship of College Students with Intelligent Big Data 退缩:智能大数据对大学生人际关系的调查
4区 计算机科学
Scientific Programming Pub Date : 2023-08-30 DOI: 10.1155/2023/9825960
Scientific Programming
{"title":"Retracted: Investigation and Interpersonal Relationship of College Students with Intelligent Big Data","authors":"Scientific Programming","doi":"10.1155/2023/9825960","DOIUrl":"https://doi.org/10.1155/2023/9825960","url":null,"abstract":"<jats:p />","PeriodicalId":22091,"journal":{"name":"Scientific Programming","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49336664","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
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