Submit Machine Learning Paper Online – IJSREAT

Researchers seeking to submit machine learning paper online can consider the International Journal of Scientific Research in Engineering & Technology (IJSREAT). The journal is described as a bi-monthly, international, peer-reviewed, open-access and multidisciplinary online journal with e-ISSN 2583-1240.

IJSREAT focuses on original research contributions, technological innovations and fundamental advancements across Science, Engineering and Technology. Its stated scope specifically includes Machine Learning, Artificial Intelligence, Data Science and Computer Science. :contentReference[oaicite:1]{index=1}

🟦 Submit Machine Learning Paper Online

IJSREAT welcomes high-quality original research papers, review articles and technical notes. Authors preparing a machine learning manuscript can use the journal's stated online editorial management system for submission and manuscript tracking.

A machine learning paper may address theoretical methods, experimental studies, applied machine learning systems or interdisciplinary research, provided the topic aligns with the journal's stated scope.

🟩 Machine Learning Research Topics

The IJSREAT scope identifies several Machine Learning research areas suitable for researchers preparing a manuscript to submit machine learning paper online:

• Supervised Learning: Research comparing and applying supervised learning approaches.
• Unsupervised Learning: Studies involving unsupervised learning methods and applications.
• Reinforcement Learning: Machine learning research involving gaming and robotics.
• Federated Machine Learning: Research into distributed and privacy-oriented learning approaches.
• Edge Machine Learning: Machine learning approaches designed for edge environments.
• Anomaly Detection and Forecasting: ML applications for identifying anomalies and developing predictive forecasts.

These topics are explicitly included within the Machine Learning section of the supplied IJSREAT scope. :contentReference[oaicite:2]{index=2}

🟪 AI, Data Science and Computer Science

Machine learning research often connects with other computer science disciplines. IJSREAT's scope includes Artificial Intelligence, Data Science and Analytics, Cybersecurity, Cloud Computing, IoT, Software Engineering, Blockchain Technology, Computer Networks, Image Processing and Computer Vision, HCI, Robotics, NLP and Quantum Computing.

• Artificial Intelligence: Explainable AI, NLP models, AI in autonomous vehicles and robotics, and AI applications in medicine and diagnostics.
• Data Science & Analytics: Hadoop, Spark, data visualization, predictive analytics and data ethics.
• Cybersecurity: AI-based malware detection, blockchain security, NIDS, cryptography and secure communication.
• Cloud Computing: Serverless architecture, cloud migration, hybrid cloud, virtualization and optimization.
• IoT: Smart cities, IoT security, sensor networks, edge computing and fog computing.
• Computer Vision: Image segmentation, classification, object detection, face recognition and medical image analysis.
• NLP: Sentiment analysis, text summarization, language translation, chatbots and virtual assistants.

🟢 Fast Publication and Rapid Publication

Researchers searching for fast publication or rapid publication can review the publication timeline stated by IJSREAT before submitting a machine learning manuscript. The journal describes a streamlined workflow intended to provide quick responses during the publication process.

IJSREAT states that its strict peer-review process delivers decisions within 3 days. The detailed publication process states that online submission is available 24/7, acknowledgment is provided within 12 hours, expert review is completed within 2 days, and acceptance or rejection notification is provided within 3 days. :contentReference[oaicite:3]{index=3} :contentReference[oaicite:4]{index=4}

🔵 Google Scholar and Indexing

The supplied IJSREAT information lists Google Scholar among its indexing and abstracting services. The same list includes Scribd, ISSUU, Elsevier Mendeley, EuroPub, DRJI, Academic Keys, Edocr, I2OR, PDFSR, ResearchBIB, SSRN, WorldCAT, Ex Libris, Thomson Reuters Research ID, Semantic Scholar, Dimensions and PlumX. :contentReference[oaicite:5]{index=5}

Authors who submit machine learning paper online can review the journal's stated indexing information along with its scope and publication workflow when planning their manuscript submission.

🟨 Low Cost Open-Access Publication

IJSREAT describes its publication model as open access and states that a minimal fee is required from authors after manuscript acceptance. The supplied Article Processing Charges cover case reports, original articles and review articles.

• Indian Authors – Without DOI: 1200 INR + 18% GST.
• Indian Authors – With DOI: 1400 INR + 18% GST.
• Other than Indian Authors – With DOI: $80 USD.

Researchers looking for a low cost open-access publication route can review these stated charges and confirm the applicable fee with the journal before submitting their machine learning paper. :contentReference[oaicite:6]{index=6}

🟩 How to Submit Machine Learning Paper Online

1. Select a suitable ML topic: Choose a research problem aligned with the journal's Machine Learning, Artificial Intelligence, Data Science or related computer science scope.
2. Prepare the manuscript: Develop the original research paper, review article or technical note for submission.
3. Submit online: Use the IJSREAT editorial management system to submit the manuscript.
4. Receive acknowledgment: The stated process provides acknowledgment within 12 hours.
5. Complete peer review: The supplied publication workflow specifies expert review within 2 days.
6. Receive the decision: The stated process specifies acceptance or rejection notification within 3 days, followed by publication and PDF/certificate access.

🔗 Submit Machine Learning Paper Online – IJSREAT Editorial System

🟦 Author Dashboard and Real-Time Tracking

IJSREAT describes an advanced editorial management system intended to support authors throughout the manuscript process.

• Author Dashboard: Personalized account with submission history and status updates.
• Real-Time Tracking: Monitor the progress of a paper through each stage.
• Automated Documents: Instant generation of acceptance letters and copyright forms.
• Easy Downloads: One-click access to certificates and published papers.

These features provide an online workflow for researchers who submit machine learning and computer science manuscripts. :contentReference[oaicite:7]{index=7}

🟣 UGC CARE and Machine Learning Journal Submission

The supplied prompt includes UGC CARE as an SEO keyword, but the provided IJSREAT content does not state that IJSREAT is currently UGC CARE-listed. Researchers who specifically require UGC CARE status should independently verify the current official listing before submitting a machine learning paper.

For authors planning to submit machine learning paper online, the supplied information provides details about the journal's ML scope, peer-review process, open-access model, Google Scholar indexing claim, publication timeline, Article Processing Charges and manuscript tracking system.

⚫ Contact IJSREAT for Machine Learning Submission

For queries regarding manuscript submission, the supplied journal information provides: editorinchief@ijsreat.com.

Authors can use the editorial management system to begin the submit machine learning paper online process and track their manuscript through the available author dashboard.