Publications related to Pearson's chi-squared test

Transportation-based functional ANOVA and PCA for covariance operators

Victor Panaretos, Yoav Zemel, Valentina Masarotto

We consider the problem of comparing several samples of stochastic processes with respect to their second-order structure, and describing the main modes of variation in this second order structure, if present. These tasks can be seen as an Analysis of Vari ...

Inst Mathematical Statistics-Ims2024

Flux correlators and semiclassics

Riccardo Rattazzi, Alexander Monin, Eren Clément Firat, Matthew Thomas Walters

We consider correlators for the flux of energy and charge in the background of operators with large global U(1) charge in conformal field theory (CFT). It has recently been shown that the corresponding Euclidean correlators generically admit a semiclassica ...

Springer2024

Near Collision Attack Against Grain V1

Daniel Patrick Collins, Subhadeep Banik, Willi Meier

A near collision attack against the Grain v1 stream cipher was proposed by Zhang et al. in Eurocrypt 18. The attack uses the fact that two internal states of the stream cipher with very low hamming distance between them, produce similar keystream sequences ...

2023

Probabilistic fatigue model for composites based on the statistical characteristics of the cycles to failure

Anastasios Vassilopoulos, Guangjian Xiang

A probabilistic model for estimating the fatigue life of composite laminates based on the mean value and standard deviation of the fatigue life is introduced here for predicting the distribution of fatigue life at any stress level for a constant stress rat ...

ELSEVIER SCI LTD2022

Adiabatic two-phase pressure drop of carbon dioxide in different channel orientations

Jürg Alexander Schiffmann, Rémi Revellin, David Schmid

Adiabatic pressure drop measurements of two-phase Carbon Dioxide (CO2) have been carried out in horizontal, vertical upward and downward direction with a dedicated test facility at the European Organization for Nuclear Research (CERN). A database of more t ...

2022

Attention-based domain adaptation for single-stage detectors

Mathieu Salzmann, Vidit Vidit

While domain adaptation has been used to improve the performance of object detectors when the training and test data follow different distributions, previous work has mostly focused on two-stage detectors. This is because their use of region proposals make ...

SPRINGER2022

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Nahal Mansouri, Sahand Jamal Rahi

Rationale: Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies.Objecti ...

FRONTIERS MEDIA SA2022

Water management of the proton exchange membrane fuel cells: Optimizing the effect of microstructural properties on the gas diffusion layer liquid removal

Jan Van Herle, Hossein Pourrahmani

The formation of water columns inside the gas diffusion layer (GDL) of the proton exchange membrane fuel cell (PEMFC), which is harmful phenomenon, can be controlled by the GDL's microstructure and material. Using computational fluid dynamics (CFD), a thre ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Frequency-Domain Non-intrusive Greedy Model Order Reduction Based on Minimal Rational Approximation

Fabio Nobile, Davide Pradovera

We present a technique for Model Order Reduction (MOR) of frequency-domain problems relying on rational interpolation of vector-valued functions. The selection of the sample points is carried out adaptively according to a greedy procedure. We describe seve ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

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Pearson's chi-squared test

Transportation-based functional ANOVA and PCA for covariance operators

Flux correlators and semiclassics

Near Collision Attack Against Grain V1

Probabilistic fatigue model for composites based on the statistical characteristics of the cycles to failure

Adiabatic two-phase pressure drop of carbon dioxide in different channel orientations

Attention-based domain adaptation for single-stage detectors

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Water management of the proton exchange membrane fuel cells: Optimizing the effect of microstructural properties on the gas diffusion layer liquid removal

Trajectory planning under environmental uncertainty with finite-sample safety guarantees

Frequency-Domain Non-intrusive Greedy Model Order Reduction Based on Minimal Rational Approximation

Graph Chatbot

Chat with Graph Search

Transportation-based functional ANOVA and PCA for covariance operators

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Attention-based domain adaptation for single-stage detectors

Probabilistic fatigue model for composites based on the statistical characteristics of the cycles to failure

Adiabatic two-phase pressure drop of carbon dioxide in different channel orientations

Near Collision Attack Against Grain V1

Frequency-Domain Non-intrusive Greedy Model Order Reduction Based on Minimal Rational Approximation

Water management of the proton exchange membrane fuel cells: Optimizing the effect of microstructural properties on the gas diffusion layer liquid removal

Trajectory planning under environmental uncertainty with finite-sample safety guarantees

Flux correlators and semiclassics