Single-cell RNA sequencing (scRNA-seq) enables detailed comparisons of gene expression across cells and conditions. Single-cell differential expression analysis faces challenges like sample ...
Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...
In the early 1970s, statisticians had difficulty in analysing data where the random variation of the errors did not come from the bell-shaped normal distribution. Besides normality, these traditional ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd.
topotherm is a pyomo-based mixed-integer linear programming district heating network design model which scales well into larger districts for single and multiple time steps. It has been benchmarked ...
We transform global operations with Decision AI, empowering businesses in logistics, production, and workforce management to overcome complex scheduling and routing challenges with our adaptive, ...
One of the most important tools in psychometrics is the Generalized Linear Mixed-Effects Model (GLMM). GLMMs are powerful statistical models that allow for the analysis of non-normal data, such as ...
Abstract: In this article, we propose a framework for the stability verification of mixed-integer linear programming (MILP) representable control policies. This framework compares a fixed candidate ...
Abstract: The work presents a hardware aware modeling and learning rule for mixed-signal Spiking Neural Network (SNN). The Python-based models are compared with transistor simulation in 65nm CMOS ...
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