TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
GitHub

LIKITHKANDULA/-Human-Activity-Recognition-

This project implements a Human Activity Recognition (HAR) system using an LSTM-based recurrent neural network built with TensorFlow. The model is trained on segmented time-series sensor data (e.g., ...
GitHub

CLAM: CNN-LSTM-AM Stock Price Prediction Model

This project implements CLAM (CNN-LSTM-AM), a hybrid deep learning model combining Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and an Attention Mechanism (AM) for ...
IEEE

Time-Aware LSTM Neural Networks for Dynamic Personalized Recommendation on Business Intelligence

Abstract: Personalized recommendation plays a critical role in providing decision-making support for product and service analysis in the field of business intelligence. Recently, deep neural ...
IEEE

Profit Prediction Using ARIMA, SARIMA and LSTM Models in Time Series Forecasting: A Comparison

Abstract: Time series forecasting using historical data is significantly important nowadays. Many fields such as finance, industries, healthcare, and meteorology use it. Profit analysis using ...