发布求助
文献互助 智能选刊 最新文献

New Generation Computing最新文献

筛选
英文 中文
Combined Cloud-Based Inference System for the Classification of COVID-19 in CT-Scan and X-Ray Images. 基于云的组合推理系统用于 CT 扫描和 X 射线图像中 COVID-19 的分类。
IF 2 4区 计算机科学
New Generation Computing Pub Date : 2023-01-01 Epub Date: 2022-11-20 DOI: 10.1007/s00354-022-00195-x
Ankit Kumar Dubey, Krishna Kumar Mohbey
{"title":"Combined Cloud-Based Inference System for the Classification of COVID-19 in CT-Scan and X-Ray Images.","authors":"Ankit Kumar Dubey, Krishna Kumar Mohbey","doi":"10.1007/s00354-022-00195-x","DOIUrl":"10.1007/s00354-022-00195-x","url":null,"abstract":"<p><p>In the past few years, most of the work has been done around the classification of covid-19 using different images like CT-scan, X-ray, and ultrasound. But none of that is capable enough to deal with each of these image types on a single common platform and can identify the possibility that a person is suffering from COVID or not. Thus, we realized there should be a platform to identify COVID-19 in CT-scan and X-ray images on the fly. So, to fulfill this need, we proposed an AI model to identify CT-scan and X-ray images from each other and then use this inference to classify them of COVID positive or negative. The proposed model uses the inception architecture under the hood and trains on the open-source extended covid-19 dataset. The dataset consists of plenty of images for both image types and is of size 4 GB. We achieved an accuracy of 100%, average macro-Precision of 100%, average macro-Recall of 100%, average macro f1-score of 100%, and AUC score of 99.6%. Furthermore, in this work, cloud-based architecture is proposed to massively scale and load balance as the Number of user requests rises. As a result, it will deliver a service with minimal latency to all users.</p>","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"61-84"},"PeriodicalIF":2.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676871/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9333906","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}
引用次数: 0
Renewal of the Major Fields of New-Generation Computing. 更新新一代计算的主要领域。
IF 2 4区 计算机科学
New Generation Computing Pub Date : 2023-01-01 Epub Date: 2023-02-20 DOI: 10.1007/s00354-023-00206-5
Sven Groppe
{"title":"Renewal of the Major Fields of New-Generation Computing.","authors":"Sven Groppe","doi":"10.1007/s00354-023-00206-5","DOIUrl":"10.1007/s00354-023-00206-5","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"3-4"},"PeriodicalIF":2.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940667/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9328875","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}
引用次数: 0
Robustifying Vision Transformer Without Retraining from Scratch Using Attention-Based Test-Time Adaptation 使用基于注意力的测试时间自适应无需从头再训练的鲁棒视觉转换器
IF 2.6 4区 计算机科学
New Generation Computing Pub Date : 2022-12-27 DOI: 10.1007/s00354-022-00197-9
Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
{"title":"Robustifying Vision Transformer Without Retraining from Scratch Using Attention-Based Test-Time Adaptation","authors":"Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo","doi":"10.1007/s00354-022-00197-9","DOIUrl":"https://doi.org/10.1007/s00354-022-00197-9","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"5-24"},"PeriodicalIF":2.6,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44883866","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
Length-Based Curriculum Learning for Efficient Pre-training of Language Models 基于长度的课程学习对语言模型的有效预训练
IF 2.6 4区 计算机科学
New Generation Computing Pub Date : 2022-12-27 DOI: 10.1007/s00354-022-00198-8
Koichi Nagatsuka, Clifford Broni-Bediako, M. Atsumi
{"title":"Length-Based Curriculum Learning for Efficient Pre-training of Language Models","authors":"Koichi Nagatsuka, Clifford Broni-Bediako, M. Atsumi","doi":"10.1007/s00354-022-00198-8","DOIUrl":"https://doi.org/10.1007/s00354-022-00198-8","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"109-134"},"PeriodicalIF":2.6,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45363029","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
A Clustering Offloading Decision Method for Edge Computing Tasks Based on Deep Reinforcement Learning 一种基于深度强化学习的边缘计算任务聚类卸载决策方法
IF 2.6 4区 计算机科学
New Generation Computing Pub Date : 2022-12-19 DOI: 10.1007/s00354-022-00199-7
Zhen Zhang, Huanzhou Li, Zhangguo Tang, Dinglin Gu, Jian Zhang
{"title":"A Clustering Offloading Decision Method for Edge Computing Tasks Based on Deep Reinforcement Learning","authors":"Zhen Zhang, Huanzhou Li, Zhangguo Tang, Dinglin Gu, Jian Zhang","doi":"10.1007/s00354-022-00199-7","DOIUrl":"https://doi.org/10.1007/s00354-022-00199-7","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"41 1","pages":"85-108"},"PeriodicalIF":2.6,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43899936","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 Growing Model-Based OCSVM for Abnormal Student Activity Detection from Daily Campus Consumption 基于增长模型的OCSVM校园日常消费异常学生活动检测
IF 2.6 4区 计算机科学
New Generation Computing Pub Date : 2022-10-27 DOI: 10.1007/s00354-022-00193-z
Xing Yang, Pan Huang, Le An, Peng Feng, B. Wei, Peng He, Kexin Peng
{"title":"A Growing Model-Based OCSVM for Abnormal Student Activity Detection from Daily Campus Consumption","authors":"Xing Yang, Pan Huang, Le An, Peng Feng, B. Wei, Peng He, Kexin Peng","doi":"10.1007/s00354-022-00193-z","DOIUrl":"https://doi.org/10.1007/s00354-022-00193-z","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"40 1","pages":"915 - 933"},"PeriodicalIF":2.6,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48965245","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
Performance Analysis of Chemotaxis-Inspired Stochastic Controllers for Multi-Agent Coverage 基于趋化分类的多智能体覆盖随机控制器性能分析
IF 2.6 4区 计算机科学
New Generation Computing Pub Date : 2022-08-26 DOI: 10.1007/s00354-022-00189-9
Shinsaku Izumi
{"title":"Performance Analysis of Chemotaxis-Inspired Stochastic Controllers for Multi-Agent Coverage","authors":"Shinsaku Izumi","doi":"10.1007/s00354-022-00189-9","DOIUrl":"https://doi.org/10.1007/s00354-022-00189-9","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"40 1","pages":"871 - 887"},"PeriodicalIF":2.6,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41763082","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
A Botnet Detection in IoT Using a Hybrid Multi-objective Optimization Algorithm 基于混合多目标优化算法的物联网机器人网络检测
IF 2.6 4区 计算机科学
New Generation Computing Pub Date : 2022-08-06 DOI: 10.1007/s00354-022-00188-w
Fatemeh Hosseini, F. S. Gharehchopogh, Mohammad Masdari
{"title":"A Botnet Detection in IoT Using a Hybrid Multi-objective Optimization Algorithm","authors":"Fatemeh Hosseini, F. S. Gharehchopogh, Mohammad Masdari","doi":"10.1007/s00354-022-00188-w","DOIUrl":"https://doi.org/10.1007/s00354-022-00188-w","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"40 1","pages":"809 - 843"},"PeriodicalIF":2.6,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46400972","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: 2
Codensity Games for Bisimilarity 双相似性的密度游戏
IF 2.6 4区 计算机科学
New Generation Computing Pub Date : 2022-08-03 DOI: 10.1007/s00354-022-00186-y
Yuichi Komorida, Shin-ya Katsumata, Nick Hu, Bartek Klin, Samuel Humeau, Clovis Eberhart, Ichiro Hasuo
{"title":"Codensity Games for Bisimilarity","authors":"Yuichi Komorida, Shin-ya Katsumata, Nick Hu, Bartek Klin, Samuel Humeau, Clovis Eberhart, Ichiro Hasuo","doi":"10.1007/s00354-022-00186-y","DOIUrl":"https://doi.org/10.1007/s00354-022-00186-y","url":null,"abstract":"<p>Bisimilarity as an equivalence notion of systems has been central to process theory. Due to the recent rise of interest in quantitative systems (probabilistic, weighted, hybrid, etc.), bisimilarity has been extended in various ways, such as bisimulation metric between probabilistic systems. An important feature of bisimilarity is its game-theoretic characterization, where Spoiler and Duplicator play against each other; extension of bisimilarity games to quantitative settings has been actively pursued too. In this paper, we present a general framework that uniformly describes game characterizations of bisimilarity-like notions. Our framework is formalized categorically using fibrations and coalgebras. In particular, our characterization of bisimilarity in terms of fibrational predicate transformers allows us to derive what we call codensity bisimilarity games: a general categorical game characterization of bisimilarity. Our framework covers known bisimilarity-like notions (such as bisimulation metric and bisimulation seminorm) as well as new ones (including what we call bisimulation topology).</p>","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"9 4","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138496800","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
An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2 基于证据理论的OWL时间数据冲突处理方法2
IF 2.6 4区 计算机科学
New Generation Computing Pub Date : 2022-07-30 DOI: 10.1007/s00354-022-00187-x
Nassira Achich, F. Ghorbel, Sonda Ammar Bouhamed, F. Hamdi, Elisabeth Métais, F. Gargouri, Haithem Kharfia, Bilel Gargouri
{"title":"An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2","authors":"Nassira Achich, F. Ghorbel, Sonda Ammar Bouhamed, F. Hamdi, Elisabeth Métais, F. Gargouri, Haithem Kharfia, Bilel Gargouri","doi":"10.1007/s00354-022-00187-x","DOIUrl":"https://doi.org/10.1007/s00354-022-00187-x","url":null,"abstract":"","PeriodicalId":54726,"journal":{"name":"New Generation Computing","volume":"40 1","pages":"845 - 870"},"PeriodicalIF":2.6,"publicationDate":"2022-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48482405","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书