Abstract: This paper addresses the challenge of memory-efficient time-series forecasting in resource-constrained environments. To this end, an imagification method is proposed that enables lightweight ...

This project analyzes transaction data and generates forecasts using machine learning models like ARIMA, Prophet, and others. It outputs forecasted data, visualizations, and saved models for further ...

In the ever-evolving digital landscape, the intersection of Python and Artificial Intelligence (AI) has revolutionized the way machine learning and data science evolve, making complex computational ...

Diffusion-weighted magnetic resonance imaging is essential for diagnosing ischemic stroke and identifying targets for emergency revascularization. Apparent diffusion coefficient (ADC) maps derived ...

Strategic behavior requires learning and decision processes to interact. The role of subcortical regions in these processes has been demonstrated in animal research but is less well known in humans.

Machine learning is an aspect of Artificial Intelligence, which provides computers the ability to teach themselves to automatically improve and learn. It happens to be one of the greatest fields ...