Results 11 to 20 of about 254,753 (253)
Automatic identification of charcoal origin based on deep learning
Maderas: Ciencia y Tecnología, 2021 The differentiation between the charcoal produced from (Eucalyptus) plantations and native forests is essential to control, commercialization, and supervision of its production in Brazil.
Ricardo Rodrigues de Oliveira Neto +9 more
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Agronomy, 2023 The aboveground dry biomass (AGDB) of winter wheat can reflect the growth and development of winter wheat. The rapid monitoring of AGDB by using hyperspectral technology is of great significance for obtaining the growth and development status of winter ...
Chenbo Yang +10 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 A unified description for the imaging mission of different types of targets is lacking, making overall optimization of imaging missions of complex multitype targets (point, curve, and area) within a single pass difficult when using traditional satellite ...
Zezhong Lu +3 more
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Construction of a Spatio-Temporal Dataset for Deep Learning-Based Precipitation Nowcasting
Journal of Information Science Theory and Practice, 2022 Recently, with the development of data processing technology and the increase of computational power, methods to solving social problems using Artificial Intelligence (AI) are in the spotlight, and AI technologies are replacing and supplementing existing
Wonsu Kim +3 more
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Particle-Tracking Proton Computed Tomography—Data Acquisition, Preprocessing, and Preconditioning
IEEE Access, 2021 Proton CT (pCT) is a promising new imaging technique that can reconstruct relative stopping power (RSP) more accurately than x-ray CT in each cubic millimeter voxel of the patient. This, in turn, will result in better proton range accuracy and, therefore,
Blake Schultze +10 more
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Preprocessing under uncertainty
CoRR, 2015 In this work we study preprocessing for tractable problems when part of the input is unknown or uncertain. This comes up naturally if, e.g., the load of some machines or the congestion of some roads is not known far enough in advance, or if we have to regularly solve a problem over instances that are largely similar, e.g., daily airport scheduling with
Fafianie, Stefan +2 more
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Detection of Black Spot of Rose Based on Hyperspectral Imaging and Convolutional Neural Network
AgriEngineering, 2020 Black spot is one of the seriously damaging plant diseases in China, especially in rose production. Hyperspectral technology reflects both external features and internal structure information of measured samples, which can be used to identify the disease.
Jingjing Ma +3 more
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Preprocessing of Intractable Problems
Information and Computation, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CADOLI, Marco +3 more
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Foods, 2020 Juiciness is a primary index of pear quality and freshness, which is also considered as important as sweetness for the consumers. Development of a non-destructive detection method for pear juiciness is meaningful for producers and sellers. In this study,
Fan Wang, Chunjiang Zhao, Guijun Yang
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Comparison of Instance Selection and Construction Methods with Various Classifiers
Applied Sciences, 2020 Instance selection and construction methods were originally designed to improve the performance of the k-nearest neighbors classifier by increasing its speed and improving the classification accuracy.
Marcin Blachnik, Mirosław Kordos
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