Ensemble of neural networks with associative memory (ENNA) for estimating software development costs

Performance of Using Cascade Forward Back Propagation Neural Networks for Estimating Rain Parameters with Rain Drop Size Distribution

The aim of our study is to estimate the parameters M (water content), R (rain rate) and Z (radar ref

Pavement Roughness Prediction Using Long Short-Term Memory (LSTM) Neural Networks

Accurate prediction of pavement roughness — quantified by the International Roughness Index

Morphological Segmentation with LSTM Neural Networks for Tigrinya

Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks

The study of South African distribution (Dx.) network’s load forecasting using recent and state of t

Long Short-Term Memory Networks for CSI300 Volatility Prediction with Baidu Search Volume

Intense volatility in financial markets affect humans worldwide. Therefore, relatively accurate pred

"Data For \u201cContingency Analysis of Ethiopian Extra High Voltage Transmission Networks with Deep Neural Networks\u201d"

"Contingency analysis (CA) evaluates power system resilience during component outages by identifying