Results 41 to 50 of about 4,013,335 (305)
International Journal of Digital Earth, 2023 Accurate landslide extraction is significant for landslide disaster prevention and control. Remote sensing images have been widely used in landslide investigation, and landslide extraction methods based on deep learning combined with remote sensing ...
Hesheng Chen +7 more
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CROP AND WEED SEGMENTATION ON GROUND-BASED IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORK [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Weed management is of crucial importance in precision agriculture to improve productivity and reduce herbicide pollution. In this regard, showing promising results, deep learning algorithms have increasingly gained attention for crop and weed ...
H. Fathipoor, R. Shah-Hosseini, H. Arefi
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A Comparison of Petri Net Semantics under the Collective Token Philosophy [PDF]
, 1998 In recent years, several semantics for place/transition Petri nets have been proposed that adopt the collective token philosophy. We investigate distinctions and similarities between three such models, namely configuration structures, concurrent ...
Meseguer, J. +7 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Forest Change Detection (FCD) is a critical component of natural resource monitoring and conservation strategies, enabling informed decision-making. Various methods utilizing the power of artificial intelligence (AI) have been developed for detecting and
Kassim Kalinaki +2 more
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Segmentation of skin cancer using Fuzzy U-network via deep learning
Measurement: Sensors, 2023 The most common cancer in the world is skin cancer. In recent years, one of the most important challenges to public health has been melanoma, the most dangerous type of skin cancer. In this paper, a novel MFO-Fuzzy U net has been proposed to segmentation
A. Bindhu, K.K. Thanammal
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U-net weights for brain extraction (version 2) [PDF]
, 2018 U-net weights for brain ...
Brian Avants (50789) +1 more
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GAU U-Net for multiple sclerosis segmentation
Alexandria Engineering Journal, 2023 Multiple sclerosis is an auto immune disease which affects the brain and nervous system. A total of 2.8 million people are estimated to live with Multiple sclerosis worldwide (35.9 per 100,000 population).
Roba Gamal, Hoda Barka, Mayada Hadhoud
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A Variational U-Net for Weather Forecasting [PDF]
CoRR, 2021 Not only can discovering patterns and insights from atmospheric data enable more accurate weather predictions, but it may also provide valuable information to help tackle climate change. Weather4cast is an open competition that aims to evaluate machine learning algorithms' capability to predict future atmospheric states.
Pak Hay Kwok, Qi Qi
openaire +2 more sources
2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)ISIB ...
Sheng He +3 more
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U-net weights for functional MRI lung segmentation [PDF]
, 2018 Weights for U-net functional lung segmentation.
Brian Avants (418551) +1 more
core +1 more source