jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
Frontiers

Determining the risk factors of malaria and anemia in children between 6 and 59 months using the joint generalized linear mixed model on the 2021 Nigeria Malaria Indicator ...

School of Mathematics, Statistics, and Computer Science, University of Kwazulu-Natal, Pietermaritzburg, South Africa Background: Malaria and anemia are significant public health concerns that ...
IEEE

Multi-Agent Pruning and Quantization in Mixed-Precision Models

Abstract: In order to improve the size reduction of the deep learning models for deploying to edge devices, this study employs the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) method, ...
IEEE

Wind Power Scenario Generation based on the Generalized Dynamic Factor Model and Generative Adversarial Network

Abstract: For conducting resource adequacy studies, we synthesize multiple long-term wind power scenarios of distributed wind farms by using the spatio-temporal features: spatial and temporal ...