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7981
Applications of Probabilistic Machine Learning Models to Semiconductor Fabrication
Published 2022“…These methods are often less prone to overfitting compared to alternative machine learning methods, while still being flexible enough to model complex systems. Specifically, we investigate the application of probabilistic machine learning methods in four distinct case studies. …”
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Thesis -
7982
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7983
Stochastic optimization methods for structure learning in Gaussian graphical models and the general log-determinant optimization
Published 2020“…Graphical models compactly represent the most significant interactions of multivariate probability distributions, provide an efficient inference framework to answer challenging statistical queries, and incorporate both expert knowledge with data to extract information from complex systems. When the graphical model is assumed to be Gaussian, the resulting model features attractive properties and appears frequently in cutting-edge applications. …”
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Thesis-Doctor of Philosophy -
7984
High resolution indoor localization system using ultra wideband impulse radio
Published 2020“…Internet of things (IoT) is an emerging technology which enables integration of billions of objects and complex systems over internet with the help of many technologies such as Wi-Fi, ZigBee, Bluetooth, UWB etc. …”
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Thesis-Doctor of Philosophy -
7985
Nonreciprocal electrical transport in two-dimensional heterostructures
Published 2024“…Despite the ubiquity of nonreciprocal electrical transport in various complex systems, the origin can be simplified into two categories based on microscopic mechanisms, namely, chiral and polar structures. …”
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Thesis-Doctor of Philosophy -
7986
Beyond Gaussian : copula graphical models for non-Gaussian data
Published 2015“…Graphical models, which can be viewed as a marriage of graph theory and probability theory, provide a powerful formalism for multivariate statistical modeling of complex systems. Graphical models harness the complexity of large-scale systems by representing the statistical relations among a large number of variables in a compact manner. …”
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Thesis -
7987
Mixed Cation Halide Perovskite under Environmental and Physical Stress
Published 2021-07-01Get full text
Article -
7988
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7989
Science–policy challenges for biodiversity, public health and urbanization: examples from Belgium
Published 2013-01-01Get full text
Article -
7990
PP2A is activated by cytochrome c upon formation of a diffuse encounter complex with SET/TAF-Iβ
Published 2022-01-01Get full text
Article -
7991
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7992
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7993
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7994
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7995
COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China
Published 2023-12-01Get full text
Article -
7996
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7997
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7998
Mucosal immune response after the booster dose of the BNT162b2 COVID-19 vaccineResearch in context
Published 2023-02-01Get full text
Article -
7999
Modularizing Product Architectures Using Dendrograms
Published 2003“…Also Design Structure Matrix clustering [10] [11] is intended for single products, but it has an advantage that it has been reduced to a repeatable algorithms that 2 can be run by a computer, which enables the modularizing of also complex systems. Stake [11] introduces a clustering algorithm for MFD to group functions according to modularity driver scores. …”
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Working Paper -
8000