The International Journal of Machine Learning for Sustainable Development is a peer-reviewed publication dedicated to advancing the intersection of machine learning and sustainable development. This journal serves as a platform for researchers, academics, and practitioners to share their innovative research and insights on how machine learning techniques can be applied to address critical challenges in sustainability.
Our journal welcomes contributions from various domains, including environmental science, energy, agriculture, healthcare, and more, where machine learning is leveraged to create practical and impactful solutions. We aim to foster a global community of experts committed to harnessing the power of AI and machine learning to drive positive environmental, economic, and social change.
Key areas of interest include but are not limited to:
- Environmental monitoring and conservation using ML algorithms
- Sustainable energy management and optimization
- Smart agriculture and precision farming
- Healthcare solutions for resource-constrained regions
- Climate change prediction and mitigation strategies
- Data-driven policy-making for sustainable development
We invite researchers to submit their original research, reviews, case studies, and practical applications that demonstrate the transformative potential of machine learning in building a more sustainable world. Join us in this exciting journey towards a future where technology and sustainability go hand in hand.
Important: If your article is selected, there is an open access fee of $2100 USD, which may be waived based on the paper's quality.
Note: If you required the Full paper contact us at [email protected]