Transactions on Recent Developments in Artificial Intelligence and Machine Learning

About the Journal

Transactions on Recent Developments in Artificial Intelligence and Machine Learning

Scope:

The "Transactions on Recent Developments in Artificial Intelligence and Machine Learning" is an international peer-reviewed journal dedicated to providing a platform for the dissemination of cutting-edge research, innovations, and developments in the fields of artificial intelligence (AI) and machine learning (ML). The journal aims to foster collaboration, share knowledge, and advance the frontiers of AI and ML research by offering a comprehensive scope that encompasses various aspects of these dynamic and rapidly evolving fields.

1. Research Articles: The journal invites high-quality research articles covering a wide range of topics in AI and ML. This includes but is not limited to:

• Advanced machine learning algorithms and techniques
• Deep learning models and applications
• Natural language processing and understanding
• Computer vision and image recognition
• Reinforcement learning and robotics
• AI ethics, explainability, and fairness
• AI and ML in healthcare, finance, and other domains
• AI-driven data analytics and decision support systems
• AI for autonomous systems, including self-driving cars and drones

2. Review Articles: The journal publishes comprehensive review articles that provide in-depth analyses of specific AI and ML subfields, summarizing recent developments, challenges, and future directions.

3. Case Studies and Applications: We welcome case studies and practical applications of AI and ML in real-world scenarios, highlighting their impact on industries, businesses, and society.

4. Ethical and Regulatory Considerations: We encourage submissions addressing the ethical and regulatory aspects of AI and ML, including discussions on bias, privacy, transparency, and responsible AI development and deployment.

5. Interdisciplinary Research: The journal promotes interdisciplinary research by accepting contributions that bridge the gap between AI/ML and other domains such as healthcare, finance, environmental science, and more.

6. Emerging Technologies: We provide a platform for exploring emerging AI and ML technologies, including quantum machine learning, federated learning, and AI at the edge.

7. Reproducibility and Open Source: We support open-source initiatives and encourage authors to provide code and data to enhance the reproducibility of their research.

8. Surveys and Trends: The journal includes surveys and trend articles that offer an overview of the current state of AI and ML research and their implications.

9. Educational Resources: We publish educational resources, including tutorials, to help researchers, students, and practitioners stay updated with the latest advancements in AI and ML.

The "Transactions on Recent Developments in Artificial Intelligence and Machine Learning" is committed to promoting interdisciplinary collaboration, fostering a global research community, and advancing knowledge in AI and ML. We invite researchers, scientists, professionals, and academics to contribute their original work and share their insights in order to drive innovation and shape the future of AI and machine learning.

Transaction on Recent Development in Artificial Intelligence and Machine Learning

is a double-blind peer-reviewed journal  indexed in several  databases like Google Scholar, Wos, Dooj, EI