EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 564 (2024) E3S Web Conf., 564 (2024) 07010 References
Open Access
Issue
E3S Web Conf.
Volume 564, 2024
International Conference on Power Generation and Renewable Energy Sources (ICPGRES-2024)
Article Number 07010
Number of page(s) 13
Section Signal Processing
DOI https://doi.org/10.1051/e3sconf/202456407010
Published online 06 September 2024
  1. L.S. Pereira, L. Cordery, I. Iacovides. Further developed marks of water use execution and efficiency for maintainable water preservation and saving. Rural Water The executives, 108, 39-51, (2012) [Google Scholar]
  2. S. Sasirekha, S. Swamynathan. Cluster-chain mobile agent routing algorithm for efficient data aggregation in wireless sensor network. J.Commn.Net., 19, 4, 392-401, (2017) [CrossRef] [Google Scholar]
  3. P.T.A. Quang, D.S. Kim. Enhancing Real-Time Delivery of Gradient Routing for Industrial Wireless Sensor Networks. IEEE Trans. Ind. Inform., 8, 1, 61-68, (2012) [CrossRef] [Google Scholar]
  4. P. Duchi, A.M. Laügt. Cleaning PCBs in Hardware: Seeing The present Requirements. ECS Trans., 60, 1, 817-822, (2014) [CrossRef] [Google Scholar]
  5. A. Tomar, K. Nitesh, P.K. Jana. A proficient plan for direction plan of portable chargers in remote sensor organizations. Wirel. Netw., 26, 2, 897-912 [Google Scholar]
  6. S. Kumar, S. Duttagupta, V.P. Rangan, M.V. Ramesh. Reliable network connectivity in wireless sensor networks for remote monitoring of landslides. Wirel. Netw., 26, 3, 2137-2152, (2020) [CrossRef] [Google Scholar]
  7. A. Rajput, V.B. Kumaravelu. Fluffy rationale based circulated bunching convention to further develop energy effectiveness and dependability of remote shrewd sensor networks for farmland checking frameworks. Int. J. Commun. Syst., 33, 4, e42391-e423928, (2020) [CrossRef] [Google Scholar]
  8. F. Capraro, S.R. Tosetti, P.L.C. Manrique. Sensor network for observing and issue discovery in dribble water system frameworks considering implanted frameworks. IEEE Lat. Am. Trans. 18, 2, 383-391 [Google Scholar]
  9. H. Ye, Y. Yang, L. Zhu. A remote organization recognition and control framework for wise farming nurseries in view of NB-IOT innovation. J. Phys. Conf. Ser., 1738, 1, (2021) [Google Scholar]
  10. M. Thibaud, H. Chi, W. Zhou, S. Piramuthu. Internet of Things (loT) in high-risk environment health and safety (EHS) industries: A comprehensive review. Decis. Support Syst., 108, 79-95, (2018) [CrossRef] [Google Scholar]
  11. S. Kumar, S. Duttagupta, V.P. Rangan, M.V. Ramesh. Reliable network connectivity in wireless sensor networks for remote monitoring of landslides. Wirel. Netw., 26, 3, 2137-2152, (2020) [CrossRef] [Google Scholar]
  12. P. Washaya, T. Balz, B. Mohamadi. Coherence change-detection with sentinel-1 for natural and anthropogenic disaster monitoring in urban areas. Remote Sens., 10, 7, 2018. [Google Scholar]
  13. M. Bouziani, K. Goïta, D.C. He. Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge. ISPRS J. Photogramm. Remote Sens., 65, 1, 143-153, (2010) [CrossRef] [Google Scholar]
  14. C. Liu, X. Su, C. Li. Edge computing for data anomaly detection of multi-sensors in underground mining. Electronics, 10, 3, (2021) [Google Scholar]
  15. M.S. Murshed, C. Murphy, D. Hou, N. Khan, G. Ananthanarayanan, F. Hussain. Machine learning at the network edge: A survey. ACM Comput. Surv. (CSUR), 54, 8, 1-37, (2021) [Google Scholar]
  16. Ali, Muhmmad, Ihab M. Ali Almaameri, Abdul Malik, Fahim Khan, Muhammad Khalid Rabbani. Link Adaptation Strategy for Underwater Acoustic Sensor Networks: A speech Learning Approach. Journal of Smart Internet of Things, (2023) [Google Scholar]
  17. C.L Rosa, M.V. Jesús, A.L.N. Wayky, A.F.T. Cesar, L.M.M. Dorothy, A.G.V. Maria, F. Doris. Energy-aware and Context-aware Fault Detection Framework for Wireless Sensor Networks. JOWUA., 14, 3, (2023) [Google Scholar]
  18. M.S. Mekala, P. Viswanathan. An Overview: Shrewd Horticulture IoT with Distributed computing. In Procedures of the Worldwide Gathering on Microelectronic Gadgets, Circuits and Frameworks, Vellore, India, (2017) [Google Scholar]
  19. A.G. Mohopatra, B. Keswani, S.K. Lenka. ICT explicit mechanical changes in accuracy agribusiness climate. Int. J. Comput. Sci. Crowd. Appl., 6, 1-16, (2018) [Google Scholar]
  20. U. Shafi, R. Mumtaz, J. García-Nieto, S.A. Hassan, S.A.R. Zaidi, N. Iqbal. Accuracy agribusiness strategies and practices: From contemplations to applications. Sensors, 19, (2019) [Google Scholar]
  21. Munusamy, S., Al-Humairi, S. N. S., & Abdullah, M. I. (2021). Automatic irrigation system: Design and implementation. ISCAIE 2021 - IEEE 11th Symposium on Computer Applications and Industrial Electronics, 256–260. https://doi.org/10.1109/ISCAIE51753.2021.9431829 [Google Scholar]
  22. Mydin, M. A. S., Alkawaz, M. H., Ghafoor, K. Z., Mohammad, O. F., & Md Johar, M. G. (2021). A Study on Medical Image Compression Techniques based on Huffman Coding and Discrete Wavelet Transform (DWT). Proceeding - 2021 IEEE 9th Conference on System, Process and Control, ICSPC 2021, 86–91. https://doi.org/10.1109/ICSPC53359.2021.9689166 [Google Scholar]
  23. Al-Sanjary, O. I., Vasuthevan, S., Omer, H. K., Mohammed, M. N., & Abdullah, M. I. (2019). An Intelligent Recycling Bin Using Wireless Sensor Network Technology. 2019 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2019 - Proceedings, 30–33. https://doi.org/10.1109/I2CACIS.2019.8825044 [Google Scholar]
  24. Alsoud, A. R., Al-Adwan, A. S., Hamid, J. A., Khatibi, A., Yaseen, H., & Shukri, S. M. (2021). An Institutional Perspective of Quality Assurance and Accreditation of Jordanian and Malaysian University Program: A Comparative Study. Educational Sciences: Theory and Practice, 21(4), 31–47. https://doi.org/10.12738/jestp.2021.3.014 [Google Scholar]
  25. Pragathi, B., and P. Ramu. “Authentication Technique for Safeguarding Privacy in Smart Grid Settings.” E3S Web of Conferences. Vol. 540. EDP Sciences, 2024. [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.