models. The central focus of the research was the development and evaluation of a short-term memory model (LSTM) specifically … designed to predict customer leakage. The choice of LSTM as the mainstay of the research is based on its proven ability to … various sequence prediction tasks. The model implementation, configured sequentially with Keras, comprised of an initial LSTM …

-short-term memory (LSTM) has been used as an initial experiment on how Artificial Intelligence (AI) can be used in the energy outlook …

-Term Memory (LSTM), and Gated Recurrent Units (GRU), are utilized to assess the similarity between stocks, which is crucial in the … utilizing LSTM models demonstrated the highest performance, achieving an approximate cumulative return of 51.25353%. This …