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

Editor-in-Chief


Dr. K. Saravanan
Affiliation: Department of Computer Science and Engineering, College of Engineering, Anna University, Sardar Patel Road, Chennai – 600025, Tamil Nadu, India
Expertise: Machine Learning, Cloud Computing, Semantic Web, Smart Cities, IoT, Blockchain

Associate Editors


Dr. Weiwei Jiang
Affiliation:Beijing University of Posts and Telecommunications, and Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing, China
Expertise: Artificial Intelligence, Machine Learning, Big Data, Edge Computing, and Wireless Communication.
Mrs. V. Sowjanya
Affiliation: Dept.of Artificial Intelligence and Data Science 
Lakireddy Bali Reddy College of Engineering, Mylavaram, NTR Dist., Andhra Pradesh, India.
Prof. P. Annadurai
Affiliation: Department of Computer Science and Engineering, M S Ramaiah University of Applied Sciences,
Bengaluru, India.
Expertise: ML, Image Processing, Cloud Computing
Dr. Ragunthar T
Affiliation: Department of Computing Technologies, SRM Institute of Science and Technology,
Kattankulathur, Chennai, India-603203.
Expertise: AI, ML, IoT, Cloud Computing
Dr. K.S. Sendhil Kumar
Affiliation: Head, School of Computer Science & Engineering, Vellore Institute of Technology, Vellore, India
Expertise: Machine Learning, IoT, Deep Learning, Cloud Computing

The Journal of Intelligent Machine Learning and IoT Enabled Applications has been abstracted or indexed by: 

• Google Scholar
• Index Copernicus 

Peer Review Policy

The journal follows a single-blind peer review model. Reviewers remain anonymous, while authors’ identities are visible to reviewers.


Initial Screening

All submissions undergo plagiarism checking using Turnitin. Manuscripts are screened by the Editor-in-Chief for relevance, clarity, scope fit, and originality.


Peer Review Process

A handling editor assigns reviewers. Typically three reviews are requested, but two may suffice. Expected first decision time: 3 months.


Review Criteria

  • Originality and novelty
  • Technical soundness
  • Clarity and organization
  • Significance and impact

Decision Categories

Accept – Minor improvements

Minor Revision – Small corrections

Major Revision – Full re-review needed

Reject – Out of scope or poor quality

Journal Insights


FREE
Article Processing Charge

90 Days
Review Time

30 Days
Acceptance after Review

30 Days
Publication after Acceptance


Bi-Annually (May, Dec)
Publication Frequency

E-ISSN No
3139-3667

Subjects
Computer Science

40%
Acceptance Rate

Current Issue

May 2026- Journal of Intelligent Machine Learning and IoT Enabled Applications
Published: 14-05-2026

Articles

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