Results 181 to 190 of about 4,805,610 (298)

Non-linear point distribution modelling using a multi-layer perceptron

open access: yes, 1997
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 Foods: Current Status, Future Perspectives, and Artificial Intelligence–Driven Exploration

open access: yesFood Safety and Health, EarlyView.
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

Multi‐command wearable magnetic human‐machine interface enabled by low‐noise sensing and time‐series deep learning

open access: yesInfoScience, EarlyView.
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

Bias Correction of ERA5 Temperature Across Five Topoclimatic Clusters: A Comparative Evaluation of Four Methods

open access: yesInternational Journal of Climatology, EarlyView.
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]

open access: yesSci Rep
Srinivasu PN   +6 more
europepmc   +1 more source

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

open access: yesInternational Journal of Climatology, EarlyView.
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]

open access: yesSci Rep
Fahim-Ul-Islam M   +4 more
europepmc   +1 more source

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