Open Access
| Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01075 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/202343001075 | |
| Published online | 06 October 2023 | |
- Alabdulwahhab KM, Sami W, Mehmood T, Meo SA, Alasbali TA, Alwadani FA. Automated detection of diabetic retinopathy using machine learning classifiers. Eur Rev Med Pharmacol Sci. 2021 Jan;25(2):583-590, (2021). [Google Scholar]
- Das D, Biswas SK, Bandyopadhyay S.. Multimed Tools Appl. 29, 1-59, (2022) doi: 10.1007/s11042-022-14165-4. Epub ahead of print. PMID: 36467440; PMCID: PMC9708148. [Google Scholar]
- Moe Myint Thu, Set SetSwe and Tin ThandarZaw, Security System with PIR Sensor(Iconic Research and Engineering Journals, Volume 4, Issue 6, 2020) [Google Scholar]
- Matla. Elimarteena, V Siva Nagaraju, IOT Based Home Security System with PIR and Ultrasonic Detection Using Arduino, in Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA, 2-4 December 2021, Coimbatore, India (2021). [Google Scholar]
- Muhammad Zeeshan Saeed, Raja Raheel Ahmed, Omar Bin Samin, and Nusrat Ali, IoT-based Smart Security System using PIR and Microwave Sensors, in Proceedings of the 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics, MACS, 14-15 December 2019, Karachi, Pakistan (2019). [Google Scholar]
- S. Mohammadian, A. Karsaz and Y. M. Roshan, “A comparative analysis of classification algorithms in diabetic retinopathy screening,” 2017 7th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, Iran,84-89, (2017). doi: 10.1109/ICCKE.2017.8167934. [Google Scholar]
- K Madhavi, “Algorithm Selection and Model Evaluation in Application Design Using Machine Learning”, Lecture Notes in Computer Science. 12081 LNCS, pp. 175-195, 2020. [Google Scholar]
- Karanam Madhavi et.al, “A Survey on Cardivascular Prediction using Variant Machine learning Solutions.” E3S Web of Conferences 309, 01042, ICMED 2021, (2021).. [CrossRef] [EDP Sciences] [Google Scholar]
- Ramesh, G., Reddy, K.S.S., Ramu, G., Reddy, Y.C.A.P., Somasekar, J. An Empirical Study on Discovering Software Bugs Using Machine Learning Techniques. In: Buyya, R., Hernandez, S.M., Kovvur, R.M.R., Sarma, T.H. (eds) Computational Intelligence and Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 142. Springer, Singapore, (2023). [Google Scholar]
- V. Tejaswini Priyanka, Y. Reshma Reddy, D. Vajja, G. Ramesh and S. Gomathy (2023). A Novel Emotion based Music Recommendation System using CNN. 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 592-596, (2023). doi: 10.1109/ICICCS56967.2023.10142330. [Google Scholar]
- Chandrika Lingala, and Karanam Madhavi, “A Hybrid Framework for Heart Disease Prediction Using Machine Learning Algorithms”, E3S Web of Conferences 309, 01043, ICMED 2021, (2021). https://doi.org/10.1051/e3sconf/202130901043. [CrossRef] [EDP Sciences] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.