These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
313 related articles for article (PubMed ID: 34833551)
1. Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0. Peppes N; Daskalakis E; Alexakis T; Adamopoulou E; Demestichas K Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833551 [TBL] [Abstract][Full Text] [Related]
2. Evaluation of Machine Learning Techniques for Traffic Flow-Based Intrusion Detection. Rodríguez M; Alesanco Á; Mehavilla L; García J Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502028 [TBL] [Abstract][Full Text] [Related]
3. Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network. Alalwany E; Mahgoub I Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501896 [TBL] [Abstract][Full Text] [Related]
4. Breast Tumor Classification Using an Ensemble Machine Learning Method. Assiri AS; Nazir S; Velastin SA J Imaging; 2020 May; 6(6):. PubMed ID: 34460585 [TBL] [Abstract][Full Text] [Related]
5. Enhancing Network Intrusion Detection Using an Ensemble Voting Classifier for Internet of Things. Farooqi AH; Akhtar S; Rahman H; Sadiq T; Abbass W Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38202990 [TBL] [Abstract][Full Text] [Related]
6. Ensemble-Learning Framework for Intrusion Detection to Enhance Internet of Things' Devices Security. Alotaibi Y; Ilyas M Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420734 [TBL] [Abstract][Full Text] [Related]
7. IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System. Akram U; Sharif W; Shahroz M; Mushtaq MF; Aray DG; Thompson EB; Diez IT; Djuraev S; Ashraf I Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514673 [TBL] [Abstract][Full Text] [Related]
8. Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT. Aslam M; Ye D; Tariq A; Asad M; Hanif M; Ndzi D; Chelloug SA; Elaziz MA; Al-Qaness MAA; Jilani SF Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408312 [TBL] [Abstract][Full Text] [Related]
9. Cyber Threat Intelligence-Based Malicious URL Detection Model Using Ensemble Learning. Ghaleb FA; Alsaedi M; Saeed F; Ahmad J; Alasli M Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591061 [TBL] [Abstract][Full Text] [Related]
10. Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset. Velusamy D; Ramasamy K Comput Methods Programs Biomed; 2021 Jan; 198():105770. PubMed ID: 33027698 [TBL] [Abstract][Full Text] [Related]
11. Robust genetic machine learning ensemble model for intrusion detection in network traffic. Akhtar MA; Qadri SMO; Siddiqui MA; Mustafa SMN; Javaid S; Ali SA Sci Rep; 2023 Oct; 13(1):17227. PubMed ID: 37821521 [TBL] [Abstract][Full Text] [Related]
12. Deep Stacking Network for Intrusion Detection. Tang Y; Gu L; Wang L Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009568 [TBL] [Abstract][Full Text] [Related]
13. BoostedEnML: Efficient Technique for Detecting Cyberattacks in IoT Systems Using Boosted Ensemble Machine Learning. Okey OD; Maidin SS; Adasme P; Lopes Rosa R; Saadi M; Carrillo Melgarejo D; Zegarra Rodríguez D Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236506 [TBL] [Abstract][Full Text] [Related]
14. Human lung cancer classification and comprehensive analysis using different machine learning techniques. Priyadarshini K; Ali SA; Sivanandam K; Alagarsamy M Microsc Res Tech; 2024 Sep; ():. PubMed ID: 39295255 [TBL] [Abstract][Full Text] [Related]
15. Network intrusion detection using oversampling technique and machine learning algorithms. Ahmed HA; Hameed A; Bawany NZ PeerJ Comput Sci; 2022; 8():e820. PubMed ID: 35111914 [TBL] [Abstract][Full Text] [Related]
16. KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features. Qi H; Song X; Liu S; Zhang Y; Wong KKL Comput Methods Programs Biomed; 2023 Apr; 231():107378. PubMed ID: 36731312 [TBL] [Abstract][Full Text] [Related]
18. Adaptive Anomaly Detection Framework Model Objects in Cyberspace. Alkahtani H; Aldhyani THH; Al-Yaari M Appl Bionics Biomech; 2020; 2020():6660489. PubMed ID: 33376505 [TBL] [Abstract][Full Text] [Related]
19. Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques. Rashid MM; Kamruzzaman J; Hassan MM; Imam T; Gordon S Int J Environ Res Public Health; 2020 Dec; 17(24):. PubMed ID: 33327468 [TBL] [Abstract][Full Text] [Related]
20. An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks. Churcher A; Ullah R; Ahmad J; Ur Rehman S; Masood F; Gogate M; Alqahtani F; Nour B; Buchanan WJ Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33435202 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]