Intelligent Data Collection Devices in Smart Grid
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46092-0_16
Reference26 articles.
1. Zheng, J., Wu, Z., Sharma, R., Lv, H.: Adaptive decision model of product team organization pattern for extracting new energy from agricultural waste. Sustain. Energy Technol. Assess. 53(Part A), 102352 (2022). ISSN 2213-1388. https://doi.org/10.1016/j.seta.2022.102352
2. Mou, J., Gao, K., Duan, P., Li, J., Garg, A., Sharma, R.: A machine learning approach for energy-efficient intelligent transportation scheduling problem in a real-world dynamic circumstances. IEEE Trans. Intell. Transp. Syst. (2022). https://doi.org/10.1109/TITS.2022.3183215
3. Priyadarshini, I., Sharma, R., Bhatt, D., et al.: Human activity recognition in cyber-physical systems using optimized machine learning techniques. Cluster Comput. (2022). https://doi.org/10.1007/s10586-022-03662-8
4. Priyadarshini, I., Alkhayyat, A., Obaid, A.J., Sharma, R.: Water pollution reduction for sustainable urban development using machine learning techniques. Cities 130, 103970 (2022). ISSN 0264-2751. https://doi.org/10.1016/j.cities.2022.103970
5. Pandya, S., Gadekallu, T.R., Maddikunta, P.K.R., Sharma, R.: A study of the impacts of air pollution on the agricultural community and yield crops (Indian context). Sustainability 14, 13098 (2022). https://doi.org/10.3390/su142013098
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