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 ...
Deep Learning with Yacine on MSN
Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial
Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
This repository provides a complete workflow for rapid State of Health (SOH) estimation of lithium-ion batteries using Electrochemical Impedance Spectroscopy (EIS) and neural network models. The code ...
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 ...
A new artificial intelligence (AI)-powered penetration testing tool linked to a China-based company has attracted nearly 11,000 downloads on the Python Package Index (PyPI) repository, raising ...
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