PM2.5.
Overview
| Works: | 14 works in 13 publications in 13 languages | |
|---|---|---|
Titles
MIAQP- PM2.:使用集成學習的基於多光譜圖像的空氣質量預測 = = MIAQP-PM2.5:Multi-spectral Image Based AirQuality Prediction using Ensemble Learning /
by:
(Language materials, printed)
基於隨機森林之PM2.5預測系統開發 = = Development of PM2.5 Forecasting System based on Random Forest /
by:
(Language materials, printed)
分析氣象因子對空氣汙染物之影響—以雲林縣觀測站為例 = = Analyzing the Influence of Meteorological Factors on Air Pollutants : A Case Study of Yunlin Observation Station /
by:
(Language materials, printed)
探討蜂膠對於細懸浮微粒(PM2.5)誘發人類肺部細胞纖維化之保護能力 = = Explore the protective capability of propolis on the fibrosis of human lung cells induced by fine particulate matter (PM2.5). /
by:
(Language materials, printed)
餘甘子水萃物對細懸浮微粒(PM2.5)誘發人類支氣管上皮細胞發炎之保護作用 = = The protective effects of Phyllanthus emblica extract on human bronchial epithelial cells against inflammation induced by fine particulate matter (PM2.5) /
by:
(Language materials, printed)
微霧除塵系統處理SiO2粉塵之探討 = = Discussion on Treatment of SiO2 Dust by Micro Mist Dust Removal System /
by:
(Language materials, printed)
PM2.5空污偵測無人飛行器之開發與驗證 = = Development and Validation of an Aerial Robot for PM2.5 Detection /
by:
(Language materials, printed)
運用ETL與決策樹整合並分析開放資料－以PM2.5探討為例 = = Using ETL and Decision Tree to Integrate and Analyze Open Data - A Case Study of PM2.5 /
by:
(Language materials, printed)
使用R語言分析空污之研究:以雲林縣為例 = = A Study of Using the R Language Software for Air Pollution Data Analysis /
by:
(Language materials, printed)
空污無人機之PM2.5嗅覺導引系統 = = Olfactory Navigation System for Pollution Detection UAV /
by:
(Language materials, printed)
探討蜂蜜對於懸浮微粒(PM2.5)誘發人類肺部支氣管上皮細胞傷害之保護效果 = = Explore the Protective Effect of Honey on the Damage of Human Lung Bronchial Epithelial Cells are Induced ByParticulate Matter (PM2.5) /
by:
(Language materials, printed)
空污無人機之三維PM2.5搜查系統 = = 3D PM2.5 Search System for Pollution Detection UAV /
by:
(Language materials, printed)
使用空汙因子濃度數據預測PM2.5等級 = = PM2.5 Level Prediction Using Air Pollution Factors Concentration Data /
by:
(Language materials, printed)
Show more
Fewer
Subjects