Abstract: Neural network-assisted (NNA) Kalman filters provide an effective solution to addressing the filtering issues involving partially unknown system information by incorporating neural networks ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

2017-07-06 Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks. A paper by Pranav Rajpurkar, Awni Y. Hannun et al. that uses a 34-layer convolutional neural network which maps a ...

Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...

I have an H: drive mapped in Windows to a network path \\colo-01-fs02\developers$\ollie. Required by my workplace. I can build my projects just fine in Java 21 and below. When I build with OpenJDK 25 ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...