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Entropy-Based Fuzzy C-Ordered-Means Clustering Algorithm 基于熵的模糊C-有序均值聚类算法
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-08-22 DOI: 10.1007/s00354-023-00229-y
M. Moradi, J. Hamidzadeh
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引用次数: 0
Ontology-Based Similarity Computation of Two Sentences Using Word-Net Database 基于本体论的基于Word-Net数据库的两个句子相似度计算
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-08-18 DOI: 10.1007/s00354-023-00228-z
Atul Gupta, Kalpana Sharma, Krishan Kumar Goyal
{"title":"Ontology-Based Similarity Computation of Two Sentences Using Word-Net Database","authors":"Atul Gupta, Kalpana Sharma, Krishan Kumar Goyal","doi":"10.1007/s00354-023-00228-z","DOIUrl":"https://doi.org/10.1007/s00354-023-00228-z","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"723 - 737"},"PeriodicalIF":2.6,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48964976","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 CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets 基于cnn - lstm的猴痘推文情感分析混合深度学习方法
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-08-14 DOI: 10.1007/s00354-023-00227-0
K. Mohbey, Gaurav Meena, Sunil Kumar, K. Lokesh
{"title":"A CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets","authors":"K. Mohbey, Gaurav Meena, Sunil Kumar, K. Lokesh","doi":"10.1007/s00354-023-00227-0","DOIUrl":"https://doi.org/10.1007/s00354-023-00227-0","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42739322","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: 5
Structured Matrices and Their Application in Neural Networks: A Survey 结构矩阵及其在神经网络中的应用综述
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-07-26 DOI: 10.1007/s00354-023-00226-1
Matthias Kissel, K. Diepold
{"title":"Structured Matrices and Their Application in Neural Networks: A Survey","authors":"Matthias Kissel, K. Diepold","doi":"10.1007/s00354-023-00226-1","DOIUrl":"https://doi.org/10.1007/s00354-023-00226-1","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"697 - 722"},"PeriodicalIF":2.6,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42272351","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
Data Science in Healthcare Monitoring Under Covid-19 Detection by Extended Hybrid Leader-Based Compressed Neural Network 基于扩展混合leader的压缩神经网络在Covid-19检测下医疗保健监测中的数据科学
4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-06-21 DOI: 10.1007/s00354-023-00225-2
Asha Latha Thandu, Vijaya Saradhi Thommandru, Pradeepini Gera
{"title":"Data Science in Healthcare Monitoring Under Covid-19 Detection by Extended Hybrid Leader-Based Compressed Neural Network","authors":"Asha Latha Thandu, Vijaya Saradhi Thommandru, Pradeepini Gera","doi":"10.1007/s00354-023-00225-2","DOIUrl":"https://doi.org/10.1007/s00354-023-00225-2","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136355751","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 Model to Predict the Effects of Enhanced Students’ Computer Interaction on Their Health in COVID-19 Pandemics 新模型预测COVID-19大流行期间加强学生电脑互动对健康的影响
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-06-15 DOI: 10.1007/s00354-023-00224-3
Dr Nidhi Agarwal, S. Mohanty, Shweta Sankhwar, J. Dash
{"title":"A Novel Model to Predict the Effects of Enhanced Students’ Computer Interaction on Their Health in COVID-19 Pandemics","authors":"Dr Nidhi Agarwal, S. Mohanty, Shweta Sankhwar, J. Dash","doi":"10.1007/s00354-023-00224-3","DOIUrl":"https://doi.org/10.1007/s00354-023-00224-3","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"635 - 668"},"PeriodicalIF":2.6,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47934974","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
Early Spam Detection Using Time-Based Cache in Graph database 基于时间缓存的图数据库早期垃圾邮件检测
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-06-13 DOI: 10.1007/s00354-023-00223-4
Sakshi Srivastava, Supriya Agrahari, A. Singh
{"title":"Early Spam Detection Using Time-Based Cache in Graph database","authors":"Sakshi Srivastava, Supriya Agrahari, A. Singh","doi":"10.1007/s00354-023-00223-4","DOIUrl":"https://doi.org/10.1007/s00354-023-00223-4","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"607 - 634"},"PeriodicalIF":2.6,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42775566","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
Stacked Generalization Architecture for Predicting Publisher Behaviour from Highly Imbalanced User-Click Data Set for Click Fraud Detection 从高度不平衡的用户点击数据集中预测发布者行为的堆叠泛化架构用于点击欺诈检测
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-05-29 DOI: 10.1007/s00354-023-00218-1
D. Sisodia, Dilip Singh Sisodia
{"title":"Stacked Generalization Architecture for Predicting Publisher Behaviour from Highly Imbalanced User-Click Data Set for Click Fraud Detection","authors":"D. Sisodia, Dilip Singh Sisodia","doi":"10.1007/s00354-023-00218-1","DOIUrl":"https://doi.org/10.1007/s00354-023-00218-1","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"581 - 606"},"PeriodicalIF":2.6,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48935932","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: 1
An Optimized Scaffolding Algorithm for Unbalanced Sequencing 不平衡排序的一种优化支架算法
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-05-28 DOI: 10.1007/s00354-023-00221-6
Wufei Zhu, Ying Liu, Ya Zhao, Xingyu Liao, M. Tong, Xiangyu Liao
{"title":"An Optimized Scaffolding Algorithm for Unbalanced Sequencing","authors":"Wufei Zhu, Ying Liu, Ya Zhao, Xingyu Liao, M. Tong, Xiangyu Liao","doi":"10.1007/s00354-023-00221-6","DOIUrl":"https://doi.org/10.1007/s00354-023-00221-6","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"553 - 579"},"PeriodicalIF":2.6,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41542464","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
Performance Evaluation of Learning Models for the Prognosis of COVID-19. 新冠肺炎预后学习模型的绩效评价。
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
New Generation Computing
Pub Date : 2023-05-24 DOI: 10.1007/s00354-023-00220-7
Baijnath Kaushik, Akshma Chadha, Reya Sharma

COVID-19 has developed as a worldwide pandemic that needs ways to be detected. It is a communicable disease and is spreading widely. Deep learning and transfer learning methods have achieved promising results and performance for the detection of COVID-19. Therefore, a hybrid deep transfer learning technique has been proposed in this study to detect COVID-19 from chest X-ray images. The work done previously contains a very less number of COVID-19 X-ray images. However, the dataset taken in this work is balanced with a total of 28,384 X-ray images, having 14,192 images in the COVID-19 class and 14,192 images in the normal class. Experimental evaluations were conducted using a chest X-ray dataset to test the efficacy of the proposed hybrid technique. The results clearly reveal that the proposed hybrid technique attains better performance in comparison to the existing contemporary transfer learning and deep learning techniques.

新冠肺炎已发展成为一种需要检测方法的全球大流行。它是一种传染性疾病，正在广泛传播。深度学习和迁移学习方法在检测新冠肺炎方面取得了很好的结果和性能。因此，本研究提出了一种混合深度迁移学习技术，用于从胸部X射线图像中检测新冠肺炎。之前所做的工作包含的新冠肺炎X射线图像数量非常少。然而，这项工作中拍摄的数据集与总共28384张X射线图像相平衡，其中新冠肺炎类图像为14192张，正常类图像为14.192张。使用胸部X射线数据集进行实验评估，以测试所提出的混合技术的疗效。结果清楚地表明，与现有的当代迁移学习和深度学习技术相比，所提出的混合技术获得了更好的性能。
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引用次数: 0
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