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Lucimara Bragagnolo
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Year
Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks
L Bragagnolo, RV da Silva, JMV Grzybowski
Environmental Modelling & Software 123, 104565, 2020
1012020
Artificial neural network ensembles applied to the mapping of landslide susceptibility
L Bragagnolo, RV da Silva, JMV Grzybowski
CATENA 104240, 2020
952020
Convolutional neural networks applied to semantic segmentation of landslide scars
L Bragagnolo, LR Rezende, RV Da Silva, JMV Grzybowski
Catena 201, 105189, 2021
512021
Amazon forest cover change mapping based on semantic segmentation by U-Nets
L Bragagnolo, RV da Silva, JMV Grzybowski
Ecological Informatics 62, 101279, 2021
472021
Mobility and environmental monitoring of pesticides in the atmosphere—A review
L Galon, L Bragagnolo, EP Korf, JB Dos Santos, GM Barroso, ...
Environmental Science and Pollution Research 28 (25), 32236-32255, 2021
172021
Towards the automatic monitoring of deforestation in Brazilian rainforest
L Bragagnolo, RV da Silva, JMV Grzybowski
Ecological Informatics 66, 101454, 2021
142021
Microbially induced calcite precipitation (MICP): review from an engineering perspective
VL Pacheco, L Bragagnolo, C Reginatto, A Thomé
Geotechnical and Geological Engineering 40 (5), 2379-2396, 2022
102022
Artificial neural networks applied for solidified soils data prediction: a bibliometric and systematic review
VL Pacheco, L Bragagnolo, A Thomé
Engineering Computations 38 (7), 3104-3131, 2021
82021
Copper uses in organic production are safe to the nervous system of Caenorhabditis elegans?
DF Philippsen, WA Tamagno, AP Vanin, AC Concato, L Bragagnolo, ...
Environmental Quality Management 30 (4), 61-70, 2021
82021
Effects of acidic attack on chemical, mineralogical, and morphological properties of geomaterials
ST Ferrazzo, RS Tímbola, L Bragagnolo, E Prestes, EP Korf, PDM Prietto, ...
Environmental Science and Pollution Research 27, 37718-37732, 2020
82020
Aplicação de resíduos na fabricação de concreto: como técnicas analíticas de caracterização podem auxiliar na escolha preliminar do material mais adequado?
L Bragagnolo, EP Korf
Revista Matéria 25 (1), 2020
82020
Amazon and Atlantic Forest image datasets for semantic segmentation
L Bragagnolo, RV da Silva, JMV Grzybowski
Zenodo, 2021
72021
Amazon Rainforest dataset for semantic segmentation
L Bragagnolo, RV da Silva, JMV Grzybowski
May, 2019
72019
Caracterização de resíduos da fundição de ferro e avaliação de possíveis aplicações na construção civil
L Bragagnolo, ST Ferrazzo, FP Muscope, EP Korf, GDLP Vargas, ...
Brazilian Journal of Environmental Sciences (RBCIAMB), 61-77, 2018
62018
Mining tailings and alkali activation: a comprehensive bibliometric review
L Bragagnolo, PDM Prietto, EP Korf
Environmental Science and Pollution Research 29 (59), 88440-88460, 2022
32022
Cone penetration test prediction based on random forest models and deep neural networks
VL Pacheco, L Bragagnolo, F Dalla Rosa, A Thomé
Geotechnical and Geological Engineering 41 (8), 4595-4628, 2023
22023
Optimization of biocementation responses by artificial neural network and random forest in comparison to response surface methodology
VL Pacheco, L Bragagnolo, F Dalla Rosa, A Thomé
Environmental Science and Pollution Research 30 (22), 61863-61887, 2023
22023
Composição gravimétrica e estimativa de geração per capita municipal de resíduos sólidos urbanos destinados ao Aterro Sanitário de Palmeira das Missões, Rio Grande do Sul, Brasil
L Bragagnolo, ST Ferrazzo, FM Brum, EP Korf, AJ Mossi
Revista Brasileira de Gestão Ambiental e Sustentabilidade 7 (16), 953-970, 2020
22020
Modifications in the chemical and mineralogical composition of compacted mature residual soil submitted to the percolation of acidic leachates
EP Korf, PDM Prietto, AA Silveira, C Ulsen, NC Consoli, L Bragagnolo
Soils and Rocks 43 (1), 159-167, 2020
22020
Porosity changes of compacted soil percolated with acidic leachate
EP Korf, PDM Prietto, AA Silveira, C Ulsen, L Bragagnolo
Soil. Rock 41, 369-377, 2018
22018
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Articles 1–20