The Role of Cloud Computing Technology in Environmental Protection
DOI:
https://doi.org/10.53469/ijomsr.2024.07(04).06Keywords:
Cloud computing, environmental protection, effectAbstract
In recent years, the level of informatization in various industries has been increasing with the continuous improvement of information technology. While developing, natural environment protection also faces many challenges, and the timeliness and predictability of information transmission test environmental monitoring workers. In traditional environmental protection work, optimizing existing technologies and utilizing cloud computing technology to quickly and accurately transmit information to the work platform, and then utilizing existing protection measures to timely detect and handle problems, in order to reduce environmental damage. On this basis, it is possible to analyze and provide reference suggestions.
References
Faye, G. , Tine, D. , Charles Diédhiou, Sene, C. , Seydi, A. , & Mouhamadou Moustapha Mbacké Ndour. (2021). Cloud computing and machine learning for analyzing spatiotemporal dynamics of mangrove ecosystems in the grand saloum (senegal and gambia). American Journal of Environmental Protection, 9(1), 29-42.
Ji, H., Xu, X., Su, G., Wang, J., & Wang, Y. (2024). Utilizing Machine Learning for Precise Audience Targeting in Data Science and Targeted Advertising. Academic Journal of Science and Technology, 9(2), 215-220.
Choi, C. , Choi, J. , & Kim, P. . (2014). Ontology-based access control model for security policy reasoning in cloud computing. The Journal of Supercomputing.
Lu, Q., Guo, X., Yang, H., Wu, Z., & Mao, C. (2024). Research on Adaptive Algorithm Recommendation System Based on Parallel Data Mining Platform. Advances in Computer, Signals and Systems, 8(5), 23-33.
Zhu, Z., Wang, Z., Wu, Z., Zhang, Y., & Bo, S. (2024). Adversarial for Sequential Recommendation Walking in the Multi-Latent Space. Applied Science and Biotechnology Journal for Advanced Research, 3(4), 1-9.
Xu, J., Jiang, Y., Yuan, B., Li, S., & Song, T. (2023, November). Automated Scoring of Clinical Patient Notes using Advanced NLP and Pseudo Labeling. In 2023 5th International Conference on Artificial Intelligence and Computer Applications (ICAICA) (pp. 384-388). IEEE.
Zhu, Z., Wang, Z., Wu, Z., Zhang, Y., & Bo, S. (2024). Adversarial for Sequential Recommendation Walking in the Multi-Latent Space. Applied Science and Biotechnology Journal for Advanced Research, 3(4), 1-9.
Yao, J., & Yuan, B. (2024). Optimization Strategies for Deep Learning Models in Natural Language Processing. Journal of Theory and Practice of Engineering Science, 4(05), 80-87.
Xu, X., Yuan, B., Song, T., & Li, S. (2023, November). Curriculum recommendations using transformer base model with infonce loss and language switching method. In 2023 5th International Conference on Artificial Intelligence and Computer Applications (ICAICA) (pp. 389-393). IEEE.
Xiao, J. , Liu, W. , Zhao, M. X. , Zhang, W. , & Xu, R. . (2020). Research on smart energy system technology based on cloud computing platform. IOP Conference Series Earth and Environmental Science, 619, 012010.
Doyle, J. , Shorten, R. , & O'Mahony, D. . (2013). Stratus: load balancing the cloud for carbon emissions control. IEEE Transactions on Cloud Computing, 1(1), 1-1.
Cheng, Y. , Meng, H. , Yuan, L. , & Lei, Y. . (2021). Research on edge computing technology of Internet of Things based on intelligent and environmental protection. 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE.
Chen, C. Y. , & Tseng, H. Y. . (2012). An exploration of the optimization of excutive scheduling in the cloud computing. Rand,.
Yang, X. , Xi, W. , Chen, A. , & Wang, C. . (2021). An environmental monitoring data sharing scheme based on attribute encryption in cloud-fog computing. PLoS ONE.
Okour, S. . (2019). The impact of the application of it governance according to (cobit 5) framework in reduce cloud computing risks. Modern Applied Science(7).
Wang, Z., Zhu, Y., He, S., Yan, H., & Zhu, Z. (2024). LLM for Sentiment Analysis in E-commerce: A Deep Dive into Customer Feedback. Applied Science and Engineering Journal for Advanced Research, 3(4), 8-13.
Ma, Y., Shen, Z., & Shen, J. (2024). Cloud Computing and Hyperscale Data Centers: A Comparative Study of Usage Patterns. Journal of Theory and Practice of Engineering Science, 4(06), 11-19.