Frontiers

Emotion estimation from video footage with LSTM

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...
IEEE

Enhanced privacy in Real time Data offloading using Federated Hybrid MLP and LSTM approach for Optimized solutions

Abstract: Using a privacy-preserving federated hybrid architecture that combines Long Short-Term Memory (LSTM) and Multilayer Perceptron networks (MLP), the research suggests a novel method. Our ...
GitHub

LSTM and QRNN Language Model Toolkit

Regularizing and Optimizing LSTM Language Models An Analysis of Neural Language Modeling at Multiple Scales This code was originally forked from the PyTorch word level language modeling example. The ...
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 ...
GitHub

Pytorch 1.0 port of the AWD LSTM Language model

Reference paper for the temporal regularization property of the low pass filtering cells: A neuromorphic boost to RNNs using low pass filters If you use the code or find the paper useful, please use ...
Frontiers

An explainable Bi-LSTM model for winter wheat yield prediction

Accurate, reliable and transparent crop yield prediction is crucial for informed decision-making by governments, farmers, and businesses regarding food security as well as agricultural business and ...
Analytics Insight

How to Build AI Models with TensorFlow

TensorFlow has emerged as one of the most popular frameworks for building machine learning models. Whether you are a beginner or an experienced data scientist, understanding how to build AI models ...