[HTML][HTML] Burned area semantic segmentation: A novel dataset and evaluation using convolutional networks
Wildfires have significant impacts on the environment, society, and economy. Consequently,
understanding its dynamics is crucial to evaluate such effects. Nonetheless, monitoring and …
understanding its dynamics is crucial to evaluate such effects. Nonetheless, monitoring and …
Wildfire hotspots forecasting and map** for environmental monitoring based on the Long Short-Term Memory Networks Deep Learning Algorithm
Global warming is raising the earth's temperature, and resulting in increased forest fire
events, especially in tropical regions with locations that are at high risk of wild and forest …
events, especially in tropical regions with locations that are at high risk of wild and forest …
[HTML][HTML] Smoothing and approximation of grassland fire loading data for engineering structures by Capped Extended Support Vector Regression
This research proposes a machine learning-aided data smoothing and approximation
scheme to investigate grassland fire loading for engineering structures. The investigations …
scheme to investigate grassland fire loading for engineering structures. The investigations …
Fire Hotspots Map** and Forecasting in Indonesia Using Deep Learning Algorithm
Indonesia is one of the countries in South East Asia has significant forest fire with dangerous
impact to neighboring countries of the emission of haze and carbon. In this research aims to …
impact to neighboring countries of the emission of haze and carbon. In this research aims to …
Forecasting of fires hotspot in tropical region using LSTM algorithm based on satellite data
Raising of temperature due to global warming impacted to the number of fires hotspot
globally, in tropical region some of the places a high risk such as wildfire. Fire in Indonesia is …
globally, in tropical region some of the places a high risk such as wildfire. Fire in Indonesia is …
[PDF][PDF] A computational pipeline for modeling and predicting wildfire behavior
N Fachada - 2022 - pdfs.semanticscholar.org
Wildfires constitute a major socioeconomic burden. While a number of scientific and
technological methods have been used for predicting and mitigating wildfires, this is still an …
technological methods have been used for predicting and mitigating wildfires, this is still an …
Automatic quality improvement of data on the evolution of 2d regions
This work deals with data cleaning and quality improvement when representing the
evolution of 2D regions extracted from real-world observations. It presents a method that …
evolution of 2D regions extracted from real-world observations. It presents a method that …
Reconstructing Spatiotemporal Data with C-VAEs
The continuous representation of spatiotemporal data commonly relies on using abstract
data types, such as moving regions, to represent entities whose shape and position …
data types, such as moving regions, to represent entities whose shape and position …
[PDF][PDF] Fire hotspots map** and forecasting in Indonesia using deep learning algorithm
AK Evizal - 2022 - repository.uir.ac.id
ICon EEI 2022 is intended to provide a forum and bring together academicians,
professionals, and governments in the fields of electrical power system, electronics …
professionals, and governments in the fields of electrical power system, electronics …
[PDF][PDF] Fire Hotspots Map** and Forecasting in Indonesia Using Deep Learning Algorithm
EA Kadir - repository.uir.ac.id
Asia has significant forest fire with dangerous impact to neighboring countries of the
emission of haze and carbon. In this research aims to do plotting and map** location with …
emission of haze and carbon. In this research aims to do plotting and map** location with …