Deep Learning Google Scholar Indexed Journal | IJRTMR
🧠 🔬 Deep Learning Google Scholar Indexed Journal
Looking for a deep learning Google Scholar indexed journal for publishing original research in artificial intelligence and modern computer science? The International Journal of Recent Trends in Multidisciplinary Research (IJRTMR) (e-ISSN: 2583-0368) provides an international, peer-reviewed, open-access platform for research in deep learning, machine learning, artificial intelligence, computer science, and emerging digital technologies.
IJRTMR supports interdisciplinary deep learning research covering neural networks, computer vision, natural language processing, generative AI, big data analytics, cybersecurity, healthcare applications, and intelligent computing. Authors should independently verify current indexing coverage and journal information before submission.
🧠 🔬 Deep Learning Research Areas
The journal welcomes original and interdisciplinary research across a broad range of deep learning and artificial intelligence research areas, including:
- 🧬 Convolutional Neural Networks (CNNs)
- 🔁 Recurrent Neural Networks (RNNs) & LSTM
- 🧠 Transformer Models & Generative AI
- 🖼️ Computer Vision & Image Recognition
- 🗣️ Natural Language Processing (NLP)
- 🎯 Reinforcement Learning
- 📊 Deep Learning for Big Data Analytics
- ☁️ AI in Cloud & Edge Computing
- 🔐 AI & Cybersecurity Applications
- 🏥 Deep Learning in Healthcare & Bioinformatics
Researchers can contribute studies involving deep neural networks, machine learning algorithms, AI models, predictive analytics, intelligent systems, computer vision, NLP, generative AI, and data-driven applications. Interdisciplinary research connecting deep learning with emerging technologies is also relevant where it fits the journal's scope.
⚡ 🚀 Fast & Transparent Deep Learning Publication Workflow
📩 Online Manuscript Submission: Authors can submit manuscripts through the online editorial submission system.
🔍 Peer Review: Submitted manuscripts are subject to applicable editorial assessment and peer-review procedures based on the journal's requirements.
⚡ Efficient Processing: The editorial workflow is structured to support efficient manuscript processing. Actual review and publication timelines may vary according to manuscript quality, reviewer availability, revisions, and editorial requirements.
📜 DOI Options: DOI-supported publication options are available according to the applicable publication choice and journal requirements.
Researchers searching for fast deep learning publication should evaluate peer-review procedures, journal scope, publication ethics, APC information, DOI options, and current indexing status when selecting a suitable research journal.
💰 💳 Low Cost Article Processing Charges
🌎 International Authors: With DOI – $80 USD
🇮🇳 Indian Authors:
Without DOI – ₹1,200 + 18% GST
With DOI – ₹1,400 + 18% GST
This transparent low cost APC structure gives researchers an opportunity to evaluate open-access publication costs for deep learning and computer science research before submitting their manuscripts.
📚 🌍 Google Scholar Indexing & Academic Discoverability
Google Scholar is widely used by researchers to discover scholarly literature. Authors interested in a deep learning Google Scholar indexed journal should independently verify the journal's current Google Scholar coverage and other indexing or abstracting information through the relevant sources before relying on such coverage for academic purposes.
Other research-information and scholarly platforms that may be relevant to discoverability include Mendeley, DRJI, SSRN, WorldCat, Semantic Scholar, Dimensions, and other services, subject to their current coverage, policies, and indexing criteria.
🌐 🧠 Why Choose an Open-Access Deep Learning Journal?
🌍 Open Accessibility: Open-access publishing can make research more accessible to readers without subscription barriers, according to the applicable publication policy.
🤖 Emerging AI Research: Deep learning research can address rapidly developing areas such as generative AI, transformer architectures, intelligent automation, computer vision, and natural language processing.
💻 Computer Science Integration: Deep learning studies can be integrated with cybersecurity, cloud computing, edge computing, big data, software engineering, healthcare technologies, and other computer science domains.
📖 Scholarly Communication: Publishing original research through an appropriate peer-reviewed journal provides a structured way to communicate methods, results, analysis, and conclusions to the research community.
🚀 📝 Submit Your Deep Learning Research Paper
If you are preparing a deep learning research paper for open-access publication, review the IJRTMR scope, manuscript guidelines, editorial process, publication charges, and current indexing information before submission.
📧 Editorial Queries: editorinchief@ijrtmr.com
