Results 41 to 50 of about 991,414 (299)
A Novel Robust Classification Method for Ground-Based Clouds
Atmosphere, 2021 Though the traditional convolutional neural network has a high recognition rate in cloud classification, it has poor robustness in cloud classification with occlusion.
Aihua Yu +6 more
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, 2006 Econometrics often deals with data under, from the statistical point of view, non-standard conditions such as heteroscedasticity or measurement errors and the estimation methods need thus be either adopted to such conditions or be at least insensitive to them.
Pavel Cizek, Wolfgang Härdle
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Adaptive Robust Vehicle Motion Control for Future Over-Actuated Vehicles
Machines, 2019 Many challenges still need to be overcome in the context of autonomous vehicles. These vehicles would be over-actuated and are expected to perform coupled maneuvers.
Moad Kissai +4 more
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Improving the Robustness of Online Social Networks: A Simulation Approach of Network Interventions
Frontiers in Robotics and AI, 2020 Online social networks (OSN) are prime examples of socio-technical systems in which individuals interact via a technical platform. OSN are very volatile because users enter and exit and frequently change their interactions.
Giona Casiraghi, Frank Schweitzer
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Applied Sciences, 2023 This paper introduces a novel and robust data-driven algorithm designed for Aircraft Trajectory Prediction (ATP). The approach employs a Neural Network architecture to predict future aircraft trajectories, utilizing input variables such as latitude ...
Seyed Mohammad Hashemi +3 more
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Robust Growth Determinants [PDF]
SSRN Electronic Journal, 2011 This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors compared to the normal benchmark case. Applying robust model
Doppelhofer, Gernot, Weeks, Melvyn
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
wiley +1 more source
Research on the robustness of convolutional neural networks in image recognition
网络与信息安全学报, 2022 Convolutional neural network is one of the key technologies in the application of image recognition and processing in artificial intelligence.Its wide application makes researches on its robustness more and more important.Previous researches on ...
Dian LIN, Li PAN, Ping YI
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Animals, 2013 It is a difficult task to improve animal production by means of genetic selection, if the environment does not allow full expression of the animal’s genetic potential. This concept may well be the future for animal welfare, because it highlights the need
Schalk Cloete +2 more
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Robust Forecast Comparison [PDF]
SSRN Electronic Journal, 2015 Forecast accuracy is typically measured in terms of a given loss function. However, as a consequence of the use of misspecified models in multiple model comparisons, relative forecast rankings are loss function dependent. In order to address this issue, a novel criterion for forecast evaluation that utilizes the entire distribution of forecast errors ...
JIN, Sainan +2 more
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