Open Access
Issue |
E3S Web Conf.
Volume 297, 2021
The 4th International Conference of Computer Science and Renewable Energies (ICCSRE'2021)
|
|
---|---|---|
Article Number | 01059 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/e3sconf/202129701059 | |
Published online | 22 September 2021 |
- Mo Deqing, Zhao Ying, Chen Shangsong, “AutomaticMeasurement and Reporting System of Water Quality Based on GSM,” 2012 International Conference on Intelligent SystemDesign and Engineering Application (2012). [Google Scholar]
- Mijovic, S. and Palmar, B. (2009). “Continuous water quality monitoring on river Kolubara”, 30th scientific professional meeting with international participation. [Google Scholar]
- George E.P. Box, Gwilym M. Jenkins, Gregory C. Reinsel, Greta M. Ljung, “Time series analysis: forecasting and control (Fifth Edition),” John Wiley & Sons, 2015. [Google Scholar]
- D. Wu, Z. Jiang, X. Xie, X. Wei, W. Yu and R. Li, “LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT,” in IEEE Transactions on Industrial Informatics, vol. 16, no. 8, pp. 5244–5253, Aug. 2020. [Google Scholar]
- Z. Qin, D. Wu, Z. Xiao, B. Fu and Z. Qin, “Modeling and Analysis of Data Aggregation From Convergecast in Mobile Sensor Networks for Industrial IoT,” in IEEE Transactions on Industrial Informatics, vol. 14, no. 10, pp. 44574467, Oct. 2018. [Google Scholar]
- Sachin S. Patil, S.J. Patil, M.M. Raste “Air Pollutant Monitoring Using Sensor Networks” International Journal Of Advanced Research in Electronics and Communication Engineering, Volume.3. Issue.8., Aug-2014,pp. 829–833. [Google Scholar]
- S. Senhaji, M. Hamlich, IoT technologies and Deep Learning to support the smart building development: Review, Opportunities, and Challenges, International Network of Research and Training, INRT (2021). [Google Scholar]
- S. Senhaji, Sanaa Faquir and Mohammed Ouazzani Jamil. Towards robotics and artificial intelligence for the prevention of Covid 19 pandemic, E3S Web of conferences, 229, 01035. (2021) [Google Scholar]
- S. Senhaji, S. Faquir, F. Harchli, T. Hajji and M. Ouazzani Jamil, A new method to Analysis of Internet of Things Malware using Image Texture component and Machine Learning Techniques, The First Edition of the International Conference on Artificial Intelligence & Industrial Applications (2020). [Google Scholar]
- Hamlich, I., M. Ramdani, “Improved ant colony algorithms for data classification”, Proceedings of 2012 International Conference on Complex Systems, ICCS 2012, 2012, 6458563. [Google Scholar]
- M. Hamlich, M. Ramdani, «Fuzzy Ant Miner”, Proceedings of the IADIS International Conference Intelligent Systems and Agents 2012, ISA 2012, IADIS European Conference on Data Mining 2012, ECDM 2012, 2012, pp. 142–149. [Google Scholar]
- M. Hamlich, A. El Khantach, Belbounaguia, N., «Machine learning methods against false data injection in smart grid”, International Journal of Reasoning-based Intelligent Systems, 2020, 12(1), pp. 51–59 [Google Scholar]
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