Optimizing LSTM Models for EUR/USD Prediction in the context of reducing energy consumption: An Analysis of Mean Squared Error, Mean Absolute Error and R …
R Echrigui, M Hamiche - E3S Web of Conferences, 2023 - e3s-conferences.org
The purpose of this study was to develop and evaluate a Long Short-Term Memory (LSTM)
model for Forex prediction. The data used was reprocessed and the LSTM model was …
model for Forex prediction. The data used was reprocessed and the LSTM model was …
Multi‐Step Forecasting for Household Power Consumption
Y Zheng, Z Xu, W Liao, B Lin… - IEEJ Transactions on …, 2023 - Wiley Online Library
It is of great importance to build an accurate model for the multi‐step forecasting of
household power consumption. In recent years, more and more researchers have focused …
household power consumption. In recent years, more and more researchers have focused …
[PDF][PDF] Prise en main de l'environnement de programmation du microcontrôleur
LS Saoud - 2017 - hal.science
Prise en main de l'environnement de programmation du microcontrôleur Page 1 HAL Id: hal-04390853
https://hal.science/hal-04390853 Submitted on 17 Jan 2024 HAL is a multi-disciplinary open …
https://hal.science/hal-04390853 Submitted on 17 Jan 2024 HAL is a multi-disciplinary open …
[引用][C] DaViTPose: An Enhanced Vision Transforme-Based Architecture for Accurate Human Pose Estimation
V Gupta, V Srivastava, V Tomar - Available at SSRN 4459900, 2023
[引用][C] TransNext: A vision enhanced Transformer model for accurate electricity load forecasting
A Mishra, H Jindal, J Jethi, B Jaint