International Journal of Machine Learning for Sustainable Development is a double-blind peer-reviewed journal it Publish the latest researches going on in the field of ML
IJMLSD is an open-access journal that focuses on publishing original and peer-reviewed research papers on all aspects of machine learning and computing. The subject covered by the journal includes machine learning theory, algorithms, approaches, models, and applications. The topics include but are not limited to:
Adaptive systems
Business intelligence
Biometrics
Bioinformatics
Data and web mining
Intelligent agent
Financial engineering
Inductive learning
Geo-informatics
Pattern Recognition
Logistics
Intelligent control
Media computing
Neural net and support vector machine
Hybrid and nonlinear system
Fuzzy set theory, fuzzy control, and system
Knowledge management
Information retrieval
An intelligent and knowledge-based system
Rough and fuzzy rough set
Networking and information security
Evolutionary computation
Ensemble method
Information fusion
Visual information processing
Computational life science
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