IEEE

MAML-KalmanNet: A Neural Network-Assisted Kalman Filter Based on Model-Agnostic Meta-Learning

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 ...
IEEE

A Hybrid Multimodal Neural-Network-Based Anomaly Detection Model for UAVs

Abstract: Uncrewed aerial vehicles (UAVs) are susceptible to malfunctions caused by environmental and human factors. Anomaly detection is a critical technique for ensuring the safe operation of UAVs.