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 ...

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 ...

Time-series data in manufacturing (temperature, pressure, vibration, current...) is tricky. Data preprocessing, windowing, normalization, the format to pass to the model... "I'll visualize that data ...

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 ...

This repository contains the code accompanying the research paper "Emotion estimation from video footage with LSTM" by Samer Attrah. The project focuses on developing and evaluating an LSTM-based ...

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 ...

股票市场在经济发展中占据重要地位。由于股票的高回报特性，股票市场吸引了越来越多机构和投资者的关注。然而，由于股票市场的复杂波动性，有时会给机构或投资者带来巨大损失。考虑到股票市场的风险，对股价变动的研究与预测能够为投资者规避风险。

Abstract: For ensuring the safe operation of IGBT, Artificial Intelligence technology can be used to predict the life of IGBT. Aiming at problem that the remaining life prediction method of IGBT lacks ...