IEEE

Research on Hybrid Architecture Neural Networks for Time Series Prediction

Abstract: In recent years, agricultural product price forecasting has played a crucial role in supply chain management and market decision-making. However, due to the influence of multiple factors ...
GitHub

scAgeClock: a single-cell transcriptome based human aging clock model using gated multi-head attention neural networks

% conda create -n scAgeClock % conda activate scAgeClock % conda install python=3.12 % pip install scageclock-0.1.3.tar.gz # download the latest release ...

How Prediction Markets Are Becoming Financial Infrastructure

Monthly trading volume in prediction markets surged from under $100 million in early 2024 to over $13 billion by the end of ...
IEEE

Machine Learning Techniques for Stock Market Prediction: Neural Networks and Soft Computing Approaches

Abstract: This paper provides an updated overview of recent literature on stock market prediction using machine learning methods. Neural network-based models, particularly those focused on predicting ...
Frontiers

Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration

Humanoid and Cognitive Robotics Laboratory, Department of Automatics, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia Collaboration between humans and robots is essential for ...