Results 181 to 190 of about 4,805,610 (298)
A hybrid multi-layer perceptron with selective stacked ensemble learning approach for recognizing human activity using sensor dataset. [PDF]
Sennan S, Somula R, Cho Y, Pandey BK.
europepmc +1 more source
Non-linear point distribution modelling using a multi-layer perceptron
Objects of the same class sometimes exhibit variation in shape. This shape variation has previously been modelled by means of point distribution models (PDMs) in which there is a linear relationship between a set of shape parameters and the positions of ...
Cootes, T. F.; id_orcid +4 more
core
The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao +5 more
wiley +1 more source
Early Diabetic Retinopathy Detection from OCT Images Using Multifractal Analysis and Multi-Layer Perceptron Classification. [PDF]
Aziz A, Tezel NS, Kaçmaz S, Attallah Y.
europepmc +1 more source
This study integrates a wrist‐worn sensing platform based on a low‐noise planar Hall magnetoresistive sensor with time‐series deep learning to enable long‐range, single‐sensor, multi‐command gesture recognition with high accuracy. Further evaluations show reliable generalization across different days, previously unseen users, wearing‐position ...
Guannan Mu +5 more
wiley +1 more source
Effectiveness of Multi-Layer Perceptron-Based Binary Classification Neural Network in Detecting Breast Cancer Through Nine Human Serum Protein Markers. [PDF]
Lee EG +8 more
europepmc +1 more source
ERA5 near‐surface temperature over South America exhibits systematic cold biases in daily maximum temperature and warm biases in daily minimum temperature. To address the continent's strong climatic and topographic heterogeneity, South America was partitioned into five topoclimatic clusters, and four bias‐correction approaches were evaluated. The Multi‐
José Roberto Rozante, Gabriela Rozante
wiley +1 more source
XAI-driven CatBoost multi-layer perceptron neural network for analyzing breast cancer. [PDF]
Srinivasu PN +6 more
europepmc +1 more source
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo +5 more
wiley +1 more source
Advancing mango leaf variant identification with a robust multi-layer perceptron model. [PDF]
Fahim-Ul-Islam M +4 more
europepmc +1 more source

