IEEE

An Explainable Approach to Land-Use Classification Using CNN-LSTM and LIME

Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...
Frontiers

Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning algorithm under uncertain information

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...
IEEE

Automated Detection of Road Defects Using LSTM and Random Forest

Abstract: Road networks represent an essential factor in economic prosperity and well-being. Assorted damages and defects on the road surface mainly impact the transportation efficiency of road ...
C&EN

CNN-LSTM-Based Nonlinear Model Predictive Controller for Temperature Trajectory Tracking in a Batch Reactor

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Batch reactors are type of chemical reactors, where the reactants are loaded to ...
GitHub

Speech Recognition using LSTM

This repository contains the code for building a speech recognition model using Long Short-Term Memory (LSTM) networks. The model is trained using MFCC features extracted from audio files and is ...