IEEE

Imbalanced Data Problem in Machine Learning: A Review

One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates achieving ...
IEEE

Harnessing Machine Learning for Intelligent Networking in 5G Technology and Beyond: Advancements, Applications and Challenges

Abstract: A revolutionary age in telecommunications is being ushered in by the confluence of machine learning (ML) with fifth-generation (5G) wireless communication technologies and beyond. This ...
The Lancet

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study

aDepartment of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany bUniversity Department of Anesthesiology and Intensive Care Medicine, ...
GitHub

A model-driven approach to building AI agents in just a few lines of code.

This repository contains the documentation for the Strands Agents SDK, a simple yet powerful framework for building and running AI agents. The documentation is built using Astro with the Starlight ...