C&EN

SOH Estimation Based on Multisource Feature Extraction and SSA-LSTM Algorithm

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
GitHub

paulkusuma/LSTM-untuk-Klasifikasi-Trend-Saham-Evolutionary-Algorithm

Proyek ini merupakan implementasi model LSTM (Long Short-Term Memory) untuk melakukan klasifikasi tren harga saham Bitcoin (BTC-USD), yang dioptimalkan menggunakan Evolutionary Algorithm (EA). Proyek ...
EurekAlert!

Next-gen satellites: a leap in autonomous timekeeping with LSTM algorithm

A new study has developed a two-level satellite timing system using a sparse sampling Long Short-Term Memory (LSTM) algorithm. This innovative approach significantly boosts the autonomous time-keeping ...
IEEE

Time-Series Forecasting of Energy Consumption with LSTM Algorithm

With rising electricity prices, increasing power demands, and a focus on sustainability globally, household energy management, as a concept, is now more of a legitimate subject of interest. Household ...
Frontiers

Cable laying conveyor state prediction and fault warning based on attention-driven CNN-LSTM algorithm

1 State Grid Wuxi Power Supply Company, Wuxi, China 2 Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China The monitoring condition of the cable laying conveyor, such ...
GitHub

Using LSTM (Long Short Term Memory) based RNN - Time Series Forecasting Algorithm

There was an error while loading. Please reload this page. Developed 3-layer LSTM model forecasting stock prices 200 days ahead using 11+ years historical data ...
IEEE

Geo-LSTM: A Geometry and Temporal Feature Fusion Algorithm for Multi-Sensor 3D Localization

Abstract: Accurate three-dimensional (3D) localization is critical for robust human-robot collaboration (HRC) in dynamic indoor environments. However, realizing high-precision localization in complex ...