Results 41 to 50 of about 915,441 (269)
On Shrinkage Estimation for the Scale Parameter of Weibull Distribution
Data Science Journal, 2009 In the present article, some shrinkage testimators for the scale parameter of a two-parameter Weibull life testing model have been suggested under the LINEX loss function assuming the shape parameter is to be known.
Gyan Prakash, D C Singh, S K Sinha
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Anomaly Detection Based on Markovian Geometric Diffusion
Machine Learning and Knowledge ExtractionAutomatic anomaly detection is vital in domains such as healthcare, finance, and cybersecurity, where subtle deviations may signal fraud, failures, or impending risks.
Erikson Carlos Ramos +2 more
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Uniqueness, scale, and resolution issues in groundwater model parameter identification
Water Science and Engineering, 2015 This paper first visits uniqueness, scale, and resolution issues in groundwater flow forward modeling problems. It then makes the point that non-unique solutions to groundwater flow inverse problems arise from a lack of information necessary to make the ...
Tian-chyi J. Yeh +6 more
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Parameter‐adaptive nighttime image enhancement with multi‐scale decomposition
IET Computer Vision, 2016 As a challenging problem, image enhancement plays an important role in computer vision applications and has been widely studied. As one of the most difficult issues of image enhancement, outdoor nighttime image enhancement suffers from noise ...
Shuhang Wang, Jin Zheng, Bo Li
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One-Bit Quantization and Distributed Detection with an Unknown Scale Parameter
Algorithms, 2015 We examine a distributed detection problem in a wireless sensor network, where sensor nodes collaborate to detect a Gaussian signal with an unknown change of power, i.e., a scale parameter.
Fei Gao, Lili Guo, Hongbin Li, Jun Fang
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Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
Technical Note: The horizontal scale dependence of the cloud overlap parameter α [PDF]
Atmospheric Chemistry and Physics, 2014 The cloud overlap parameter α relates the combined cloud fraction between two altitude levels in a grid box to the cloud fraction as derived under the maximum and random overlap assumptions. In a number of published studies in this and other journals, it
I. Astin, L. Di Girolamo
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Bayesian Generalized Self Method to Estimate Scale Parameter of Invers Rayleigh Distribution
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021 The purposes of this study are to estimate the scale parameter of Invers Rayleigh distribution under MLE and Bayesian Generalized square error loss function (SELF).
Ferra Yanuar +2 more
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