Machine Learning, Data Science and Artificial Intelligence Journal | Journal of Machine Learning, Data Science and Artificial Intelligence
The Journal of Machine Learning, Data Science and Artificial Intelligence is an esteemed peer-reviewed academic publication that serves as a comprehensive platform for disseminating advanced research and innovative developments in the domains of machine learning, data science, and artificial intelligence. The journal emphasizes the publication of high-quality original research articles, systematic reviews, and detailed case studies, with a focus on both theoretical advancements and practical implementations
- Editor-in-chief: Applied
- Editorial Board
- P-ISSN: XXXX-XXXX, E-ISSN: XXXX-XXXX
- Abbreviated Title: J. Mach. Learn. Data Sci. Artif. Intell.
- Publication Frequency: Half Yearly (2 Issues)
- © Comprehensive Publications
The scope of the journal encompasses, but is not limited to:
Artificial Intelligence, AI algorithms, Computer networks and communication, Natural language processing (NLP), Explainable artificial intelligence (XAI), Robotics and automation, Imbalanced learning, AI-driven automation and robotics, Predictive modeling and forecasting, Software engineering and development, Reinforcement learning for real life, Quantum machine learning, AI and ML tools and platforms, Deep learning theories and models, Data science, Big data analytics, Data preprocessing and cleaning, Data privacy and security, AI and ML in the internet of things (IoT), Real-world AI and data science applications, Data warehousing and business intelligence, Computer architecture and hardware design, Machine learning foundations for data science, AI in speech recognition for healthcare records, Explainable AI in finance: Risk assessment models, Human emotion recognition with machine learning, Machine learning for cybersecurity threat detection, Emerging impactful machine learning applications, Artificial Intelligence (AI) ethics and social implications, Quantum machine learning: Algorithms and applications, AI and ML in healthcare, finance, education, and industry, Deep learning applications in natural language processing, Machine learning for healthcare, finance, and other domains, Deep learning for multimodal data fusion and analysis, Machine learning for predictive maintenance in industry 4.0, Transfer learning techniques for small and imbalanced datasets, Artificial Intelligence (AI) in aerospace science and engineering, Applications of AI in the aerospace and defense industry, Artificial Intelligence (AI) developments for healthcare applications, Responsible AI and data science: Bias detection and mitigation, Data science techniques for anomaly detection in IoT networks, Machine learning for human-robot interaction and collaboration, Blockchain technology for secure and transparent data sharing, AI-powered mental health diagnostics: Ethical considerations, AI-enhanced cybersecurity strategies for critical infrastructure, Cognitive neuroscience meets AI: Insights into human intelligence, AI in criminal justice: Bias detection and fairness in sentencing, AI and ML ethics in autonomous weapons systems, AI in gaming: Player behavior prediction and content generation.
We invite you all to contribute to the Journal of Machine Learning, Data Science, and Artificial Intelligence. Online submission of the manuscript is strongly recommended. A manuscript number will be mailed to the corresponding author within one week or earlier. Prospective authors can submit their manuscripts at submit.datascience@gmail.com. Read Instructions to Author for more details. All manuscripts are subjected to peer review process (which are not previously published and are not under consideration for publication by another journal) would be published without any delay in a subsequent issue after acceptance.
Announcements
The Journal of Machine Learning, Data Science, and Artificial Intelligence provides a fast-track publication service to shorten the time to decision and publication. Authors if they wish can have their article published within 1 week of manuscript submission.
If you wish to use the fast-track publication service in this Journal of Machine Learning, Data Science, and Artificial Intelligence, please submit your manuscript and write to the editor at submit.datascience@gmail.com
