Tag: multilayer perceptron

Physicists showed that machine-learning pulse shape classifiers trained only on gamma-ray data can reject alpha events in germanium detectors with ...

A simulation-only proof of concept shows a compact residual-based neural system can distinguish severe faults across a nanosatellite electrical power ...

A lightweight AI pipeline combining wavelet and texture features classified hemorrhagic stroke, ischemic stroke and normal tissue on brain CT ...

A four-color offset-printing study found stable optimal-density estimates across validation designs despite major changes in model performance and rankings.

A benchmark of the KLF neural filtering framework found high recall and compact candidate sets on two million-scale vector datasets ...

Researchers trained a deep multilayer perceptron on finite element and numerical data to predict the performance of a rectangular touch-mode ...

Researchers in Kazakhstan have developed a two-stage deep learning method that forecasts the solar spectrum itself and uses it to ...

Researchers at KTH Royal Institute of Technology show that geometry-aware normalization lets simple neural networks rapidly approximate Lambert transfer solutions ...

Researchers have trained an artificial neural network to reconstruct the full vertical profile of tropospheric humidity from a single ground-based ...

New research shows that layer-wise pruning cuts neural network inference time and energy by up to a third while preserving ...