
Call for Papers
Vol 2, Issue 2 — December 2026
Join our upcoming issue on "Journal of Intelligent Machine Learning and IoT Enabled Applications". We invite researchers to submit their latest findings.
Editor-in-Chief: Dr. K. Saravanan
Publishing Model: Open Access (No APC)
Online ISSN: 3139-3667
Scientific
Intelli-Press (SIP)
The Journal of Intelligent Machine Learning and IoT Enabled Applications invites contributions on pioneering advancements in machine learning, artificial intelligence, and Internet of Things (IoT) applications. It is published by Scientific Intelli-Press (SIP), biannually in May and December since 2025.
Authors are encouraged to submit original research showcasing innovations in intelligent algorithms, ML models, IoT-driven data processing, edge and cloud computing, smart sensors, autonomous systems, and real-time data fusion. The journal also welcomes work on performance evaluation of intelligent systems, optimization of ML models for IoT ecosystems, and integrated AI-IoT solutions.
Our mission is to disseminate cutting-edge knowledge that bridges machine learning theory with IoT-based practical applications, enabling intelligent, responsive, and sustainable next-generation systems.
Journal Title: Journal of Intelligent Machine Learning and IoT Enabled Applications
Country / Region: India
Primary Language: English
Publisher: Scientific Intelli-Press (SIP)
1st Year Published: 2025
Access: Open Access
Responsible Person: Ashok P
Publication Format: Online
Email: ashokit009@gmail.com
Mobile: 8072438194
Address: No.59, Kancheepuram Street, Podaturpet, Thiruvallur District
City/Town: Podaturpet
Pincode: 631208
State: Tamil Nadu
The Journal of Intelligent Machine Learning and IoT Enabled Applications has been abstracted or indexed by:
• Google Scholar
• Index Copernicus
The journal follows a single-blind peer review model. Reviewers remain anonymous, while authors’ identities are visible to reviewers.
All submissions undergo plagiarism checking using Turnitin. Manuscripts are screened by the Editor-in-Chief for relevance, clarity, scope fit, and originality.
A handling editor assigns reviewers. Typically three reviews are requested, but two may suffice. Expected first decision time: 3 months.
Accept – Minor improvements
Minor Revision – Small corrections
Major Revision – Full re-review needed
Reject – Out of scope or poor quality









Vol 2, Issue 2 — December 2026
Join our upcoming issue on "Journal of Intelligent Machine Learning and IoT Enabled Applications". We invite researchers to submit their latest findings.
| Year | No. of Manuscripts Received | Documents Published | Percentage (%) of Acceptance |
|---|---|---|---|
| 2025 | 35 | 12 | 34% |
| 2026 | 10 | Current Issue Ongoing | - |

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


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 |