IEEE

Fire Danger and Intensity Response to Vegetation Properties and Weather Conditions in Eastern Asia Using Multi-Layer Perceptron

Abstract: While climate change has intensified wildfire danger, traditional prediction models primarily depend on weather-based indices and empirical thresholds, often neglecting the influence of time ...
Visual Studio Magazine

AdaBoost.R2 Regression Using C#

AdaBoost.R2 regression is a machine learning technique used to predict a single numeric value. AdaBoost.R2 builds a sequence of decision tree regressors where each accepted tree improves prediction ...
The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
IEEE

Differential Via Modeling Using Multilayer Perceptron-Sequential (MLP-SEQ) Neural Network

Abstract: In this paper, an encoder-decoder structured multi-layer perceptron-sequential (MLP-SEQ) networks are proposed to model high-speed differential vias for estimating differential insertion ...