Grid Map Fusion Method for Multiple Mobile Robots in Large-Scale Packaging and Printing Workshops [PDF]
SensorsTo address the challenges in large-scale packaging and printing workshops, where the dense arrangement of electromechanical equipment leads to large-scale scenes and prominent repetitive structures, and where frequent dynamic disturbances impair the ...
Xingmei Wei +4 more
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The Survival Advantage of Prior Curative Hepatectomy in Patients with Hepatocellular Carcinoma Receiving First-Line Multikinase Inhibitors: A Propensity Score-Adjusted Study [PDF]
Journal of Hepatocellular CarcinomaJia-Min Wu,1 Guan-Hua Li,2 Cheng-Chun Lee,3 Jie-Ying Chen,4 Shun-Fa Yang,5,6 Kuan-Chun Hsueh7,81Department of Applied Statistics, National Taichung University of Science and Technology, Taichung, Taiwan; 2Division of Gastroenterology and Hepatology ...
Wu JM +5 more
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Bayesian analysis for the Lomax model using noninformative priors
Statistical Theory and Related Fields, 2023 The Lomax distribution is an important member in the distribution family. In this paper, we systematically develop an objective Bayesian analysis of data from a Lomax distribution. Noninformative priors, including probability matching priors, the maximal
Daojiang He, Dongchu Sun, Qing Zhu
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Characterizing the impact of category uncertainty on human auditory categorization behavior. [PDF]
PLoS Computational Biology, 2014 Categorization is an important cognitive process. However, the correct categorization of a stimulus is often challenging because categories can have overlapping boundaries.
Adam M Gifford +2 more
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Quantifying Privacy Risks for Continuous Trait Data
Applied Sciences, 2022 In the context of life sciences, the rapid biotechnical development leads to the creation of huge amounts of biological data. The use of such data naturally brings concerns on human genetic privacy breaches, which also discourage biological data sharing.
Muqing He +5 more
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Bayesian Analysis of Unit Log-Logistic Distribution Using Non-Informative Priors
Mathematics, 2023 The unit log-logistic distribution is a suitable choice for modeling data enclosed within the unit interval. In this paper, estimating the parameters of the unit-log-logistic distribution is performed through a Bayesian approach with non-informative ...
Mohammed K. Shakhatreh +1 more
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PFMNet: Few-Shot Segmentation with Query Feature Enhancement and Multi-Scale Feature Matching
Information, 2021 The datasets in the latest semantic segmentation model often need to be manually labeled for each pixel, which is time-consuming and requires much effort.
Jingyao Li +5 more
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Frontiers in Earth Science, 2020 Effective decision making for resource management is often supported by combining predictive models with uncertainty analyses. This combination allows quantitative assessment of management strategy effectiveness and risk.
Brioch Hemmings +3 more
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Multitarget-tracking Method for Airborne Radar Based on a Transformer Network
Leida xuebao, 2022 Conventional multitarget-tracking data association algorithms must have prior information, such as the target motion model and clutter density. However, such prior information cannot be obtained timely and accurately before tracking.
Wenna LI, Shunsheng ZHANG, Wenqin WANG
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Primitive fitting based on the efficient multiBaySAC algorithm. [PDF]
PLoS ONE, 2015 Although RANSAC is proven to be robust, the original RANSAC algorithm selects hypothesis sets at random, generating numerous iterations and high computational costs because many hypothesis sets are contaminated with outliers.
Zhizhong Kang, Zhen Li
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