利用时间序列检测风险的绿色定量分析的发展

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Pub Date : 2020-02-01 DOI:10.1109/TCSET49122.2020.235455

B. Bakay, I. Rudko, S. Horzov, Iryna Brohovska

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引用次数: 0

摘要

设计有效的环境状态预测算法是时间序列分析和准确预测领域的重要挑战之一。随着遥感的指数级发展和快速计算平台的出现，现在已经能够有效和高效率地利用森林林分脆弱性指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Development of a Green-Based Quantitative Assay Using Time Series to Detect Risks

Designing efficient algorithms for forecasting of the state of the environment is one of the most important challenges in the field of time series analysis and accurate prediction. With the exponential rate of development of remote sensing and with the availability of fast computing platforms, it has now become possible to effectively and efficiently make use of vulnerability indicators forest stands.

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来源期刊

2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)

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