ABSTRACT: This paper explores the application of various time series prediction models to forecast graphical processing unit (GPU) utilization and power draw for machine learning applications using ...

In this tutorial, we walk through Hugging Face Trackio step by step, exploring how we can track experiments locally, cleanly, and intuitively. We start by installing Trackio in Google Colab, preparing ...

Abstract: In this paper, we propose an improved image preprocessing method to address the challenges of low resolution, cluttered backgrounds, and susceptibility to lighting, occlusion, and weather ...

We begin this tutorial to demonstrate how to harness TPOT to automate and optimize machine learning pipelines practically. By working directly in Google Colab, we ensure the setup is lightweight, ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

This notebook presents a complete machine learning pipeline designed to predict future outcomes based on historical data. It combines data preprocessing, exploration, modeling, evaluation, and ...

Abstract: We propose a novel image preprocessing algorithm (IPA) for coherent Doppler wind lidar (CDWL) wind spectrum inversion under low signal-to-noise ratio (SNR) conditions. By utilizing prior ...

ABSTRACT: Over the past ten years, there has been an increase in cardiovascular disease, one of the most dangerous types of disease. However, cardiovascular detection is a technique that analyzes data ...