Abstract: A vital component of financial research is stock price prediction, This helps investors and traders make informed decisions about buying or selling stocks. This study proposes a model for ...

As a driving force of the Fourth Industrial Revolution, deep learning methods have achieved significant success across various fields, including genetic and genomic studies. While individual-level ...

If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into regex in Python. It lets you describe patterns instead of writing ...

This paper explores effective methods for predicting gold prices, proposing three modeling strategies: a standalone Long Short-Term Memory (LSTM) network, a Convolutional Self-Attention (CSA) Network, ...

DraftKings’ prediction markets went live on Friday, bringing sports event contracts to 17 states, including some, like California and Texas, that haven’t legalized sports betting.

Netflix is putting a lot on the line to buy Warner Bros. Discovery. HBO’s content and pricing model complement Netflix well. Netflix is a high-margin cash cow that can grow steadily, regardless of the ...

PyTorch Lightning implementation of an LSTM-based encoder-decoder for battery aging prediction. The model is optimized for training/prediction speed and prediction accuracy and can be applied for ...

In the context of global energy shortages, traditional energy sources face issues of limited reserves and high prices. As a result, the importance of energy storage technology is increasingly ...