Optimizations in Applied Machine Learning: Announcements
type: channel
description: Optimizations in Applied Machine Learning is an open-access, peer-reviewed academic journal dedicated to publishing cutting-edge research on optimization in machine learning applications across various fields. The journal aims to advance efficient solutions to real-world problems by showcasing innovative studies on optimizing machine learning algorithms, models, and systems. We particularly welcome applied research in industries such as healthcare, finance, transportation, intelligent manufacturing, and sustainable development. ISSN (online): 3078-7971 Impact Factor (2025): 3.71 | CiteScore: 8.45
language: en-US