Abstract: Federated learning is increasingly being considered for sensor-driven human activity recognition, offering advantages in terms of privacy and scalability compared to centralized methods.

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 ...

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 ...

Human echolocation has at times allowed people to ride bikes or play basketball despite being completely blind from a very young age. These echolocators typically perceive their environment by ...

Abstract: Vehicle counting systems detect, classify, and count vehicles with sensors or image processing, providing valuable information for road management. Image processing systems provide detailed ...

I read “Middlemarch” for the first time during my sophomore year of college. I didn’t get it. Why would Dorothea, a young and intelligent woman, marry that annoying old man? How could she be so stupid ...