Machine Learning Journal with Fast Publication
Machine Learning Journal with Fast Publication
Searching for a machine learning journal with fast publication that ensures quality peer review and global visibility? The International Journal of Recent Trends in Multidisciplinary Research (IJRTMR) (e-ISSN: 2583-0368) offers a peer-reviewed, open access platform for advanced research in machine learning and computer science.
With rapid publication timelines, low cost APC, indexing in Google Scholar, and editorial standards aligned with UGC CARE best practices, IJRTMR ensures high academic credibility and strong citation potential.
🤖 📊 Machine Learning Research Areas
- 🧠 Supervised & Unsupervised Learning
- 🔁 Reinforcement Learning
- 🧬 Deep Learning & Neural Networks
- 📈 Predictive Analytics & Data Mining
- 🖼️ Computer Vision & Image Recognition
- 🗣️ Natural Language Processing (NLP)
- ☁️ ML in Cloud & Edge Computing
- 🔐 ML for Cybersecurity
- 🏥 ML Applications in Healthcare
- 📡 Intelligent IoT Systems
We welcome innovative, interdisciplinary research advancing the field of machine learning and modern computer science technologies.
⚡ 🚀 Fast & Transparent Publication Process
- 📩 Online submission available 24/7
- ⏱️ Acknowledgment within 12 hours
- 🔍 Peer review completed within 2–7 days
- ✅ Editorial decision within 3–7 days
- 📜 DOI assigned for every article
- 📢 Immediate online publication after acceptance
Our structured workflow ensures fast publication while maintaining rigorous peer review and academic integrity.
💰 💳 Low Cost Article Processing Charges
Foreign Authors: With DOI – $60 USD
Indian Authors:
Without DOI – 1200 INR + 18% GST
With DOI – 1400 INR + 18% GST
Our low cost APC model supports affordable rapid publication without compromising quality.
📚 🌍 Indexing & Academic Visibility
Indexed in Google Scholar, Scribd, ISSUU, Elsevier Mendeley, DRJI, SSRN, WorldCAT, Semantic Scholar, Dimensions, and other major academic databases to enhance discoverability and citation impact.
🚀 📝 Submit Your Machine Learning Research Today
For queries: [email protected]