학술논문

Development of a Green-Based Quantitative Assay Using Time Series to Detect Risks
Document Type
Conference
Source
2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET) Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2020 IEEE 15th International Conference on. :363-367 Feb, 2020
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
time series
forecasting
streaming algorithm
time series data
remote sensing
Language
Abstract
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.