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  3. Vol. 15 No. 15 (2023): TRAIML

Vol. 15 No. 15 (2023): TRAIML

Published: 2023-12-31

Articles

  • Sustainable Industrial Machine Learning and Artificial Intelligence: A Framework for Environmentally Responsible Innovation

    Nnidhi Makan
  • AI and Machine Learning-Enabled IoT and Cloud ERP Integration: Transforming Business Ecosystems for Value Creation

    Paveen kumar
  • Cognitive Convergence: AI, ML, IoT, and Cloud ERP Integration for Business Transformation

    Madhu
  • AI and IoT Integration: Maximizing Business Value through Data-Driven Insights

    dheeraj
  • AI-Driven Edge Computing for Real-time Decision Making in IoT Environments

    Prof. Mahesh Khan
  • Adversarial Machine Learning: Attacks and Defenses in Deep Learning Models

    Dr. Mehak Kumari
  • Quantum Machine Learning: Exploring the Intersection of Quantum Computing and AI

    Dr. Kiran yadav
  • Deep Reinforcement Learning for Robotics: From Simulated Environments to Real-World Applications

    Prof. Raman Kumar
  • AI-Powered Sentiment Analysis: Understanding Consumer Opinions in Social Media

    Prof. Hang Kumne
  • The Ethics of AI: Addressing Bias, Transparency, and Accountability

    Prof. Kimnkl lkoin
  • Data Augmentation in Computer Vision: Techniques and Applications

    Dr. Vaobhave kuar
  • AI-Enhanced Intrusion Detection Systems for Retail Cloud Networks: A Comparative Analysis

    Somnath Banerjee, Sunil Kumar Parisa

Indexing

  • Scopus (Under Evaluation)
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  • Academic Search Complete
  • Academic Search Research and Development
  • Advanced Technologies Database
  • Current Abstracts
  • Current Index to Statistics (CIS)
  • Directory of Open Access Journals (DOAJ)
  • EBSCO Discovery Service
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Acceptance Rate

Year Rate
2023                       12.6%
2022                       18.3%
2021                       16.9%
2020                       18.8%
2019                        22.9%
2018                        28.9%
2017                        26.1%

Citation

Citation Indices

All

Since 2018

Citation

50854

30996

h-index

28

23

i10-index

119

72

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