Results 1 to 10 of about 3,028,772 (307)

GapLoss: a loss function for semantic segmentation of roads in remote sensing images

, 2022
openAttualmente l’analisi della continuità stradale nelle immagini satellitari è una sfida complessa dovuta alla difficoltà nell’individuare il vettore direzionale dei tratti stradali, soprattutto quando la vista satellitare delle strade è ostruita ...
MARCON, KRISTIAN
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Hybrid EWMA Control Chart under Bayesian Approach Using Ranked Set Sampling Schemes with Applications to Hard-Bake Process

Applied Sciences, 2023
A memory-type control chart is an important tool of statistical process control for monitoring small to moderate shifts in the manufacturing process. Using the prior information by the Bayesian approach is helpful in control charts.
Imad Khan, Dost Muhammad Khan, Muhammad Noor-ul-Amin, Umair Khalil, Huda M. Alshanbari, Zubair Ahmad   +5 more
doaj   +1 more source

Peanut allergy:effect of environmental peanut exposure in children with filaggrin loss-of-function mutations [PDF]

, 2014
BackgroundFilaggrin (FLG) loss-of-function mutations lead to an impaired skin barrier associated with peanut allergy. Household peanut consumption is associated with peanut allergy, and peanut allergen in household dust correlates with household peanut ...
Makinson, Kerry, Hankinson, Jenny, Brown, Sara, Adnan Custovic, Nicolaos Nicolaou, McLean, W.H. Irwin, Simpson, Angela, Stephens, Alick C, Nicolaou, Nicolaos, Abdel Douiri, Simpson, Angela; id_orcid, Belgrave, Danielle C M, Kerry Makinson, Helen A. Brough, McLean, W. H. Irwin, Stephens, Alick C., Sara Brown, Brough, Helen A., Alick C. Stephens, Penagos, Martin, Turcanu, Victor, Danielle C.M. Belgrave, Lack, Gideon, Victor Turcanu, Custovic, Adnan, Belgrave, Danielle C. M., Martin Penagos, Jenny Hankinson, Gideon Lack, W.H. Irwin McLean, Brough, Helen A.; id_orcid, Belgrave, Danielle C.M., Douiri, Abdel; id_orcid, McLean, W H Irwin, Douiri, Abdel, Brough, Helen A, Angela Simpson   +36 more
core   +1 more source

Estimation of the slope parameter in a linear regression model under a bounded loss function

, 2023
The estimation of the slope parameter of a simple linear regression model in the presence of nonsample prior information under the reflected normal loss function is considered.
M. Naghizadeh Qomi, Z. Mahdizadeh, Qomi, M. Naghizadeh, Shahjahan Khan, Mahdizadeh, Z., Khan, Shahjahan   +5 more
core   +1 more source

Exploring Novel Loss Functions for Siamese Neural Network for Dissimilarity Image Classification

, 2022
reservedL'image classification è un problema molto conosciuto e studiato in Machine Learning che può essere affrontato allenando una ANN (Artificial Neural Network).
PETRUCCI, RICCARDO
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Vehicle-Damage-Detection Segmentation Algorithm Based on Improved Mask RCNN

IEEE Access, 2020
Traffic congestion due to vehicular accidents seriously affects normal travel, and accurate and effective mitigating measures and methods must be studied.
Qinghui Zhang, Xianing Chang, Shanfeng Bian Bian   +2 more
doaj   +1 more source

A Fusion Method of Optical Image and SAR Image Based on Dense-UGAN and Gram–Schmidt Transformation

Remote Sensing, 2021
To solve the problems such as obvious speckle noise and serious spectral distortion when existing fusion methods are applied to the fusion of optical and SAR images, this paper proposes a fusion method for optical and SAR images based on Dense-UGAN and ...
Yingying Kong, Fang Hong, Henry Leung, Xiangyang Peng   +3 more
doaj   +1 more source

Weather Radar Echo Extrapolation Method Based on Deep Learning

Atmosphere, 2022
In order to forecast some high intensity and rapidly changing phenomena, such as thunderstorms, heavy rain, and hail within 2 h, and reduce the influence brought by destructive weathers, this paper proposes a weather radar echo extrapolation method based
Fugui Zhang, Can Lai, Wanjun Chen
doaj   +1 more source

Quantifying the effect of uncertainty in an applied soil spectroscopy context A loss function approach [PDF]

, 2021
Advances in sensor technology and agricultural equipment should enable farmers to improve the precision management of nutrients, water and adjusted crop density, but the decision of when to use what sensor and how many measurements to take is still ad ...
Breure, T.
core  

Investigation of a Promoted You Only Look Once Algorithm and Its Application in Traffic Flow Monitoring

Applied Sciences, 2019
We propose a high-performance algorithm while using a promoted and modified form of the You Only Look Once (YOLO) model, which is based on the TensorFlow framework, to enhance the real-time monitoring of traffic-flow problems by an intelligent ...
Chang-Yu Cao, Jia-Chun Zheng, Yi-Qi Huang, Jing Liu, Cheng-Fu Yang   +4 more
doaj   +1 more source