RETRACTED ARTICLE: Cognitive computing-based COVID-19 detection on Internet of things-enabled edge computing environment.
作者信息
Laxmi Lydia E, Anupama C S S, Beno A, Elhoseny Mohamed, Alshehri Mohammad Dahman, Selim Mahmoud M
机构信息
Department of Computer Science and Engineering, Vignan's Institute of Information Technology (Autonomous), Visakhapatnam, India.
Department of Electronics and Instrumentation Engineering, V. R. Siddhartha Engineering College, Vijayawada, India.
出版信息
Soft comput. 2021 Nov 18;28(Suppl 2):431. doi: 10.1007/s00500-021-06514-6. Print 2024 Dec.
Abstract
摘要
相似文献
1
RETRACTED ARTICLE: Cognitive computing-based COVID-19 detection on Internet of things-enabled edge computing environment.撤回文章：在支持物联网的边缘计算环境中基于认知计算的新型冠状病毒肺炎检测
Soft comput. 2021 Nov 18;28(Suppl 2):431. doi: 10.1007/s00500-021-06514-6. Print 2024 Dec.
2
AI augmented edge and fog computing for Internet of Health Things (IoHT).用于健康物联网（IoHT）的人工智能增强边缘和雾计算。
PeerJ Comput Sci. 2025 Jan 30;11:e2431. doi: 10.7717/peerj-cs.2431. eCollection 2025.
3
Machine Learning Computing Migration and Management Based on Edge Computing of Multiple Data Sources in the Internet of Things.基于物联网中多数据源边缘计算的机器学习计算迁移与管理。
Comput Intell Neurosci. 2022 Sep 12;2022:8065767. doi: 10.1155/2022/8065767. eCollection 2022.
4
An Internet-of-Medical-Things-Enabled Edge Computing Framework for Tackling COVID-19.一种用于应对新冠疫情的物联网支持的边缘计算框架
IEEE Internet Things J. 2021 Jan 12;8(21):15847-15854. doi: 10.1109/JIOT.2021.3051080. eCollection 2021 Nov 1.
5
Intelligent deep federated learning model for enhancing security in internet of things enabled edge computing environment.用于增强物联网支持的边缘计算环境安全性的智能深度联邦学习模型。
Sci Rep. 2025 Feb 3;15(1):4041. doi: 10.1038/s41598-025-88163-5.
6
Fuzzy-Based Microservice Resource Management Platform for Edge Computing in the Internet of Things.基于模糊算法的物联网边缘计算微服务资源管理平台
Sensors (Basel). 2021 May 31;21(11):3800. doi: 10.3390/s21113800.
7
A Survey on Industrial Internet of Things Security: Requirements, Attacks, AI-Based Solutions, and Edge Computing Opportunities.工业物联网安全综述：需求、攻击、基于人工智能的解决方案及边缘计算机遇
Sensors (Basel). 2023 Aug 28;23(17):7470. doi: 10.3390/s23177470.
8
Retracted: Analysis of Privacy-Preserving Edge Computing and Internet of Things Models in Healthcare Domain.撤回：医疗领域中隐私保护边缘计算与物联网模型分析
Comput Math Methods Med. 2023 Aug 2;2023:9841582. doi: 10.1155/2023/9841582. eCollection 2023.
9
Blockchain-enabled infrastructural security solution for serverless consortium fog and edge computing.面向无服务器联盟雾计算和边缘计算的区块链基础设施安全解决方案。
PeerJ Comput Sci. 2024 Mar 26;10:e1933. doi: 10.7717/peerj-cs.1933. eCollection 2024.
10
Delay Optimal Schemes for Internet of Things Applications in Heterogeneous Edge Cloud Computing Networks.物联网应用在异构边缘云计算网络中的延迟最优方案。
Sensors (Basel). 2022 Aug 9;22(16):5937. doi: 10.3390/s22165937.
引用本文的文献
1
Secure healthcare data sharing and attack detection framework using radial basis neural network.使用径向基神经网络的安全医疗数据共享与攻击检测框架
Sci Rep. 2025 May 2;15(1):15432. doi: 10.1038/s41598-025-99676-4.
2
Medical Imaging Applications of Federated Learning.联邦学习的医学成像应用
Diagnostics (Basel). 2023 Oct 6;13(19):3140. doi: 10.3390/diagnostics13193140.
3
Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches.用于在预防、检测和服务提供方法中抗击新冠疫情的计算机辅助方法。
Neural Comput Appl. 2023;35(20):14739-14778. doi: 10.1007/s00521-023-08612-y. Epub 2023 May 5.
4
Towards edge devices implementation: deep learning model with visualization for COVID-19 prediction from chest X-ray.迈向边缘设备实现：用于基于胸部X光的COVID-19预测的带可视化的深度学习模型
Adv Comput Intell. 2022;2(5):33. doi: 10.1007/s43674-022-00044-w. Epub 2022 Sep 28.
5
Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing.基于混合 Inception-ResNet-v2 模型和边缘计算的胸片肺部疾病分类。
J Healthc Eng. 2022 Mar 30;2022:9036457. doi: 10.1155/2022/9036457. eCollection 2022.
本文引用的文献
1
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging.用于基于CT成像的COVID-19检测的区块链联邦学习与深度学习模型
IEEE Sens J. 2021 Apr 30;21(14):16301-16314. doi: 10.1109/JSEN.2021.3076767. eCollection 2021 Jul 15.
2
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection.基于动态融合的用于新冠病毒检测的联邦学习
IEEE Internet Things J. 2021 Feb 4;8(21):15884-15891. doi: 10.1109/JIOT.2021.3056185. eCollection 2021 Nov 1.
3
Automated COVID-19 diagnosis and classification using convolutional neural network with fusion based feature extraction model.使用基于融合特征提取模型的卷积神经网络进行新冠病毒（COVID-19）的自动诊断与分类
Cogn Neurodyn. 2023 Jun;17(3):1-14. doi: 10.1007/s11571-021-09712-y. Epub 2021 Sep 10.
4
A Deep Learning Method to Forecast COVID-19 Outbreak.一种预测新型冠状病毒肺炎疫情的深度学习方法。
New Gener Comput. 2021;39(3-4):515-539. doi: 10.1007/s00354-021-00129-z. Epub 2021 Jul 18.
5
COVID-19 detection using federated machine learning.使用联邦机器学习进行 COVID-19 检测。
PLoS One. 2021 Jun 8;16(6):e0252573. doi: 10.1371/journal.pone.0252573. eCollection 2021.
6
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.用于检测CT中COVID-19肺部异常的联邦深度学习：一项隐私保护的多国验证研究。
NPJ Digit Med. 2021 Mar 29;4(1):60. doi: 10.1038/s41746-021-00431-6.
7
Federated learning for COVID-19 screening from Chest X-ray images.用于从胸部X光图像进行COVID-19筛查的联邦学习。
Appl Soft Comput. 2021 Jul;106:107330. doi: 10.1016/j.asoc.2021.107330. Epub 2021 Mar 20.
8
FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs.联邦粒子群优化算法：利用粒子群优化进行联邦学习以降低通信成本
Sensors (Basel). 2021 Jan 16;21(2):600. doi: 10.3390/s21020600.
9
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.用于改善COVID-19住院患者死亡率预测的电子健康记录联邦学习：机器学习方法。
JMIR Med Inform. 2021 Jan 27;9(1):e24207. doi: 10.2196/24207.
10
Analysis of COVID-19 Infections on a CT Image Using DeepSense Model.基于 DeepSense 模型的 CT 图像中 COVID-19 感染分析。
Front Public Health. 2020 Nov 20;8:599550. doi: 10.3389/fpubh.2020.599550. eCollection 2020.
Zotero 插件