🤖 Peer Reviewed Machine Learning Journal – IJSREAT

The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access, multidisciplinary online journal dedicated to advancing research across Science, Engineering, Technology, and computer science.

Researchers searching for a peer reviewed machine learning journal can explore IJSREAT for original research papers, review articles, and technical notes covering machine learning, artificial intelligence, data science, cybersecurity, cloud computing, software engineering, computer vision, robotics, and other emerging computing technologies.

IJSREAT was established by academicians, educationists, engineers, and industry professionals with the objective of providing a platform for innovative research findings, technological development, and fundamental advancements. The journal encourages research that connects academic theory with practical applications across Science, Engineering, and Technology.

🧠 Peer Reviewed Machine Learning Journal for Research

Machine learning is a core area of modern computer science and artificial intelligence. It includes methods that enable computer systems to learn from data, identify patterns, make predictions, detect anomalies, and support intelligent decision-making. A peer reviewed machine learning journal can provide researchers with a structured platform for communicating methodologies, experiments, results, and technical innovations.

The IJSREAT scope includes machine learning together with artificial intelligence, data science, cybersecurity, cloud computing, IoT, software engineering, computer networks, image processing, HCI, robotics, NLP, and quantum computing. The supplied journal information also highlights fast publication and rapid publication through its stated editorial workflow.

Researchers comparing a low cost machine learning publication option should review the journal's scope, peer-review process, APC structure, publication ethics, indexing information, and institutional requirements. If UGC CARE recognition is required, verify the current status through the appropriate official sources before submission.

📚 Scope of the Journal

The International Journal of Scientific Research in Engineering & Technology welcomes high-quality original research papers, review articles, and technical notes contributing to Science, Engineering, Technology, machine learning, artificial intelligence, and computer science.

Electrical, Electronics, and Communication Engineering
Computer Science and Information Technology
Mechanical and Civil Engineering
Chemical and Environmental Engineering
Biomedical and Biotechnology Engineering
Artificial Intelligence, Machine Learning, and Data Science
Robotics, Automation, and Internet of Things (IoT)
Renewable Energy Systems and Sustainable Technologies
Materials Science and Nanotechnology
Applied Physics, Chemistry, and Mathematics

⚙️ Machine Learning Research Areas

📈 Supervised and Unsupervised Learning

Supervised learning algorithms and applications
Unsupervised learning and pattern discovery
Classification and regression techniques
Clustering and dimensionality reduction

🎮 Reinforcement Learning

Reinforcement learning in gaming
Learning-based robotic control
Reward-based decision systems
Intelligent autonomous agents

🔗 Federated and Edge Machine Learning

Federated learning architectures
Privacy-aware distributed learning
Edge machine learning systems
Resource-efficient intelligent models

📊 Anomaly Detection and Forecasting

Machine learning for anomaly detection
Predictive modeling and forecasting
Time-series prediction
Intelligent risk and event detection

🧠 Artificial Intelligence Research

Explainable AI (XAI) techniques
Natural Language Processing (NLP) models
AI in autonomous vehicles and robotics
AI applications in medicine and diagnostics

📊 Data Science & Analytics

Big data frameworks such as Hadoop and Spark
Data visualization and storytelling
Predictive analytics in business and healthcare
Ethics in data collection and usage

🔐 Cybersecurity and Machine Learning

Malware detection using AI and machine learning
Blockchain applications for cybersecurity
Network intrusion detection systems (NIDS)
Cryptography and secure communication

☁️ Cloud Computing and Machine Learning

Serverless architecture and functions
Cloud migration and hybrid cloud
Virtualization using VMs and containers
Cost and energy optimization in cloud systems

🌐 IoT, Edge and Fog Computing

Smart cities and connected devices
IoT security and encryption protocols
Sensor networks for agriculture and environment
Edge and fog computing in IoT

💻 Software Engineering and Machine Learning

Agile and DevOps practices
Software quality assurance and testing
Requirements engineering and prototyping
Model-Driven Development (MDD)

⛓️ Blockchain Technology

Smart contracts and decentralized applications (dApps)
Blockchain in financial services and voting
Energy-efficient consensus mechanisms
Blockchain scalability and security

📡 Computer Networks

5G and 6G wireless technologies
Software Defined Networking (SDN)
Network security protocols
Internet performance optimization

🖼️ Image Processing & Computer Vision

Image segmentation and classification
Object detection in video surveillance
Face recognition and biometrics
Medical image analysis using CNNs

🖥️ Human-Computer Interaction

Usability in web and mobile applications
Gesture and speech-based interfaces
Eye-tracking and AR/VR interfaces
Accessibility in UI/UX design

🤖 Robotics and Embedded Systems

Autonomous navigation systems
Real-time operating systems (RTOS)
Robot kinematics and control
Embedded AI for intelligent systems

💬 Natural Language Processing

Sentiment analysis and text summarization
Language translation models
Chatbots and virtual assistants
NLP for low-resource languages

⚛️ Quantum Computing

Quantum algorithms such as Shor's and Grover's algorithms
Quantum cryptography
Challenges in building quantum systems
Hybrid quantum-classical architectures

🎓 Interdisciplinary Machine Learning Research

IJSREAT aims to promote innovative research, technological development, and academic excellence by providing a platform for researchers, scholars, academicians, engineers, and industry professionals to share their findings.

The journal encourages interdisciplinary research connecting machine learning with computer science, artificial intelligence, healthcare, robotics, data analytics, cybersecurity, cloud systems, IoT, and other emerging technologies.

⚡ Why Consider IJSREAT for Machine Learning Research?

🚀 Rapid Peer Review

The supplied journal information states that its peer-review process delivers decisions within 3 days. Actual processing times may vary depending on reviewer availability, manuscript quality, revisions, and editorial requirements.

🌍 Open Access Policy

IJSREAT describes its publication model as open access, allowing published research to be freely available online to readers.

⏱️ Efficient Editorial Process

The journal describes a streamlined workflow from submission through publication. This can be relevant to authors seeking fast publication or rapid publication, subject to the actual review and editorial process.

🛡️ Plagiarism Protection

Rigorous screening is described as part of the journal's approach to maintaining academic integrity and supporting manuscript quality.

📖 COPE Compliance

IJSREAT states that it follows COPE's Best Practice Guidelines. Authors should review the journal's current publication ethics policies before submitting machine learning research.

🌐 Impact Beyond Academia

The journal emphasizes research that can contribute to academic knowledge, technological development, industry applications, and broader societal outcomes.

🔎 Indexing & Abstracting Information

The supplied IJSREAT information lists the following services under indexing and abstracting. Researchers should independently verify current inclusion and coverage, particularly when Google Scholar visibility or institutional indexing requirements are important.

Google Scholar
Scribd
ISSUU
Elsevier Mendeley
EuroPub
DRJI
Academic Keys
Edocr
I2OR
PDFSR
ResearchBIB
SSRN
WorldCat
Ex Libris
Thomson Reuters Research ID
Semantic Scholar
Dimensions
PlumX

📝 Streamlined Publication Process

The supplied publication workflow describes an author-friendly process from manuscript submission through peer review and final publication.

Submit Online: 24/7 submission through the editorial management system.
Initial Response: Acknowledgment is stated as being provided within 12 hours.
Expert Review: The supplied information states that peer review can be completed within 2 days.
Decision Notification: Acceptance or rejection is stated as being communicated within 3 days.
Publication & Certificate: Instant PDF access and a digital certificate are stated as available after publication.

Authors should confirm current review and publication timelines with the editorial office because processing times can vary according to reviewer availability, revisions, and editorial requirements.

💰 Article Processing Charges

IJSREAT describes its publication as open access and freely available online to readers. However, open access does not necessarily mean zero publication charges for authors. The supplied information states that a fee is applicable after manuscript acceptance.

🇮🇳 For Indian Authors

Without DOI: INR 1200 + 18% GST
With DOI: INR 1400 + 18% GST

🌎 For Authors Outside India

With DOI: $80 USD

APCs, taxes, and DOI options may change. Authors should confirm the current fee schedule with IJSREAT before submitting a manuscript or making payment.

🖥️ Advanced Editorial Management System

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

✅ How to Evaluate a Peer Reviewed Machine Learning Journal

Before submitting to a peer reviewed machine learning journal, researchers should evaluate several factors to determine whether the publication venue fits their research and academic requirements.

Check whether the journal scope matches your machine learning research.
Review peer-review procedures and editorial policies.
Verify indexing and abstracting claims independently.
Check institutional requirements for journal recognition.
Verify current UGC CARE-related requirements when applicable.
Review APCs, taxes, DOI options, and payment terms.
Examine plagiarism, publication ethics, correction, and retraction policies.
Consider the journal's relevance to your intended computer science research audience.

🔍 Peer Reviewed Machine Learning Journal for Computer Science

IJSREAT provides a multidisciplinary platform covering machine learning, artificial intelligence, data science, software engineering, cybersecurity, cloud computing, IoT, networking, computer vision, HCI, robotics, NLP, and other areas of computer science.

Researchers searching for a peer reviewed machine learning journal can evaluate IJSREAT based on its stated machine learning and computing scope, editorial workflow, open-access model, APC structure, publication ethics, indexing information, and institutional suitability. A low cost publication option should be considered alongside peer-review and academic requirements.

Authors interested in Google Scholar visibility or UGC CARE requirements should independently verify current information before submission because indexing coverage and institutional recognition can change.

📨 Submit Your Machine Learning Research

Researchers whose manuscripts fit the stated IJSREAT scope can submit their work through the editorial management system. Before submission, authors should review the latest author guidelines, peer-review requirements, APC details, publication ethics, and indexing information.

For queries: editorinchief@ijsreat.com

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International Journal of Scientific Research in Engineering & Technology (IJSREAT) — e-ISSN: 2583-1240 | Bi-monthly | Open Access | Machine Learning, Artificial Intelligence & Computer Science Research

Peer Reviewed Machine Learning Journal | IJSREAT Open Access