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Diversity

Gender Diversity of Editors and Editorial Board Members

We value transparency and inclusion in the gender distribution among our editorial team:

Men: 7 members (87.5%)
Women: 1 member (12.5%)
Prefer not to disclose: 0 members (0%)
Non-binary or gender diverse: 0 members (0%)

Our Vision Statement:

To be the leading international journal that shapes the future of intelligent systems by fostering innovation and excellence in machine learning and IoT applications, driving advancements that empower sustainable and interconnected global ecosystems.

Our Mission Statement:

Our mission is to advance the frontier of knowledge in machine learning and IoT by publishing high-quality, original research that bridges theory and practice. We aim to provide a platform for researchers and practitioners to share groundbreaking innovations, methodologies, and applications that contribute to the development of intelligent, autonomous, and adaptive systems. Through rigorous peer review and a commitment to ethical standards, we strive to disseminate knowledge that drives technological progress and addresses real-world challenges in IoT and AI-driven environments.

Journal of Intelligent Machine Learning and IoT Enabled Applications (JIML-IEA).
https://jiml-iea.com

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