About the Journal
Published academically, the Australian Journal of Machine Learning Research & Applications (AJMLRA) aims to provide current advancements in machine learning (ML) techniques across several fields. By giving researchers, engineers, and industry specialists a forum to share ideas and experiences regarding the application of ML methods to solve problems and grab opportunities in many areas, AJMLRA seeks to foster innovation and encourage economic development. The journal covers industry, agriculture, mining, finance, healthcare, and transportation among numerous sectors. Original research publications, review papers, and case studies showing the effectiveness and impact of machine learning technologies in improving efficiency, productivity, and decision-making procedures inside industrial uses are invited by AJMLRA. By encouraging cooperation between academia and industry, AJMLRA aims to improve the acceptance and integration of machine learning technology, therefore producing positive effects for businesses, communities, and the world economy.