Combining Autoencoder and Cellular Neural Networks for Enhanced Direct Multi-Step Forecasting of Short and Long-Term Multivariate Time Series in Battery Health Monitoring: A Preliminary Feasibility Analysis

Bibliographic Details
Title: Combining Autoencoder and Cellular Neural Networks for Enhanced Direct Multi-Step Forecasting of Short and Long-Term Multivariate Time Series in Battery Health Monitoring: A Preliminary Feasibility Analysis
Authors: El Bahnasawi, Mohamed, Gebser, Martin, Kambale, Witesyavwirwa Vianney, Salem, Mohamed, Chedjou, Jean Chamberlain, Kyamakya, Kyandoghere
Source: 2024 International Conference on Applied Mathematics & Computer Science (ICAMCS) ICAMCS Applied Mathematics & Computer Science (ICAMCS), 2024 International Conference on. :191-193 Sep, 2024
Relation: 2024 International Conference on Applied Mathematics & Computer Science (ICAMCS)
Database: IEEE Xplore Digital Library