do Nascimento Araujo Junior, G.[George]
* 2022: Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian
Includes: do Nascimento Araujo Junior, G.[George] do Nascimento Araújo Júnior, G.[George]
do Nascimento Bendini, H.[Hugo]
* 2022: Estimation of Water Use in Center Pivot Irrigation Using Evapotranspiration Time Series Derived by Landsat: A Study Case in a Southeastern Region of the Brazilian Savanna
* 2022: Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series
* 2023: Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis
* 2024: Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning
Includes: do Nascimento Bendini, H.[Hugo] do Nascimento-Bendini, H.[Hugo]
do Nascimento, E.
* 2013: Transmission Estimation in Underwater Single Images
do Nascimento, E.R.[Erickson R.]
* 2007: Fully automatic coloring of grayscale images
do Nascimento, M.G.[Marcelo Gennari]
* 2020: Finding Non-uniform Quantization Schemes Using Multi-task Gaussian Processes
* 2023: HyperBlock Floating Point: Generalised Quantization Scheme for Gradient and Inference Computation
do Nascimento, M.M.[Mariana Melo]
* 2022: Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest
do Nascimento, M.Z.[Marcelo Zanchetta]
* 2023: Weeds Classification with Deep Learning: An Investigation Using Cnn, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy
do Nascimento, T.P.
* 2020: Multi-Frame Super-Resolution Combining Demons Registration and Regularized Bayesian Reconstruction