Scientific Research Publishing

An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM ()

With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...
IEEE

Enhancing Security Through the Implementation of Deep Learning Techniques GRU and LSTM for Intelligent Intrusion Detection

Abstract: Anomaly-based intelligent intrusion detection systems (IDS) employ advanced algorithms and deep learning (DL) techniques to monitor network traffic, system behavior, and user activities in ...
IEEE

Criminal behavior detection using the LSTM model and tweet dataset

Abstract: The science of digital forensics is crucial in detecting and pursuing criminals since criminal behaviour depends more and more on digital technology. A model for behaviour detection is ...
Frontiers

Bacteriophage Genetic Edition Using LSTM

Bacteriophages are gaining increasing interest as antimicrobial tools, largely due to the emergence of multi-antibiotic–resistant bacteria. Although their huge diversity and virulence make them ...
Frontiers

Automated Cloud Based Long Short-Term Memory Neural Network Based SWE Prediction

Snow derived water is a critical component of the US water supply. Measurements of the Snow Water Equivalent (SWE) and associated predictions of peak SWE and snowmelt onset are essential inputs for ...
Analytics India Magazine

Introduction to LSTM Autoencoder Using Keras

An LSTM autoencoder combines encoder-decoder architecture to compress and reconstruct data effectively. Long Short Term Memory networks excel in learning dependencies in sequential data. The article ...