About the Journal

Welcome to IJARR

The International Journal of Advanced Research and Review (IJARR) is a peer-reviewed, open-access international scientific journal dedicated to the rapid monthly publication of high-quality, original research articles, case reports, and review papers across all disciplines. With an internationally recognized editorial board, IJARR is committed to producing research content of the highest standard.

Our goal is to foster long-lasting, mutually beneficial relationships with our authors, providing comprehensive support throughout the entire publishing process—from submission to post-publication.

  • Editor- In-Chief :  Dr. Rajeev Mehra
  • Title proper : INTERNATIONAL JOURNAL OF ADVANCED RESEARCH AND REVIEW (IJARR)
  • Issn : 2455-7277
  • Subject : Research Sciences
  • Publisher : IJARR Publishers
  • Dates of publication : 2016
  • Frequency : Monthly
  • Language : English
  • Country : India
  • Medium : Online
  • Indexed by : CROSSREF
  • Indexed by :  ROAD
  • Indexed by : THE KEEPERS
  • Title DOI of the Journal : http://doi.org/10.70914/issn.2347-2251

Current Issue

Vol. 10 No. 6 (2025): Volume 10 Issue 6 2025
Published: 2025-06-21

Articles

  • Metazoan parasite study of Wallago attu from Sunkesula Dam, Kurnool District, Andhra Pradesh

    Bandapalli Sujatha, Dr. M. Rajashekar (Author)
    1-8
    DOI: https://doi.org/10.70914/

  • Comprehensive Assessment of the Trophic State Index of Okachetty vagu reservoir, Wanaparthy district Telangana

    Sriram. Thriveni, P. Vijaya (Author)
    9-17
    DOI: https://doi.org/10.70914/

  • RP-HPLC Method for Simultaneous Quantification and Validation of Sofosbuvir and Velpatasvir in Bulk Drugs and Formulations

    Mr. K. Vijaya Saradhi, Dr. Ramesh kola (Author)
    18-43
    DOI: https://doi.org/10.70914/

  • Hybrid Classification Methods for Assessing Academic Achievement

    Dr. P. Ramasubramaniam, Thota Bharghavi (Author)
    44-52
    DOI: https://doi.org/10.70914/

  • Using Image Processing and Machine Learning to Identify IT Workers' Stress Levels

    S. Sushmitha, U. Rohini (Author)
    53-57
    DOI: https://doi.org/10.70914/

  • The Use of Convolutional Neural Networks for the Monitoring of Driver Drowsiness

    S. Venkateswar Rao, V. Deepthi (Author)
    58-65
    DOI: https://doi.org/10.70914/

  • Evaluating the Effectiveness of Machine Learning Techniques for Flower Recognition

    Mangalagiri Anitha, V. Srija (Author)
    66-72
    DOI: https://doi.org/10.70914/

  • Analyzing Twitter Data for Text Classification

    Thirluka Balanandini, V. Sravani (Author)
    73-81
    DOI: https://doi.org/10.70914/

  • Evaluating and Integrating Deep Learning and Audio Processing Capabilities for Heartbeat Sound Classification

    Azim, V. Prathyusha (Author)
    82-88
    DOI: https://doi.org/10.70914/

  • Machine Learning-Based Real-Time Emotion Detection System For Employees

    P. Venu Madhav, Y. Manasa (Author)
    89-96
    DOI: https://doi.org/10.70914/

  • The Use of Machine Learning for the Prediction of Crime Type and Occurrence

    P. Ramakrishna, Y. Kavya (Author)
    97-104
    DOI: https://doi.org/10.70914/

  • Location-To-Channel Mapping Using Model-Based Learning

    G. Sudheer Kumar, Y. Chandana (Author)
    105-111
    DOI: https://doi.org/10.70914/

  • Hepatitis Disease Prognosis Using Random Forest, K-Nearest Neighbors, Naive Bayes, Support Vector Machine, and Multi-Layer Perceptron

    M. Nageshwarappa, Swetha (Author)
    112-119
    DOI: https://doi.org/10.70914/
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