Multilayer perceptron

Deep Interest Network for Click-Through Rate Prediction

Using recurrent neural network models for early detection of heart failure onset

Photonic Perceptron Based on a Kerr Microcomb for High‐Speed, Scalable, Optical Neural Networks

Streamflow and rainfall forecasting by two long short-term memory-based models

An Intrusion Detection System Using a Deep Neural Network With Gated Recurrent Units

Fault diagnosis of rotating machinery based on recurrent neural networks

Data-Driven Design of HPDC Aluminum Alloys Using Machine Learning and Inverse Design

Interpretable machine learning for thermoelectric materials design with Kolmogorov–Arnold networks

Deep Learning-Driven Insights into Hardness and Electrical Conductivity of Low-Alloyed Copper Alloys