About the Journal

IJSRSET

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   International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET) is peer-reviewed, online international journal published Bimonthly by Technoscience Academy. IJSRSET is a highly-selective journal, covering topics that appeal to a broad readership in various branches of Science, Engineering and Technology and related fields. The journal has many benefits, all geared toward strengthening research skills and advancing academic careers. Journal publications are a vital part of academic career advancement.
To maintain a high-quality journal, manuscripts that appear in the IJSRSET Articles section have been subjected to a rigorous review process. This includes blind reviews by one or more members of the international editorial review board, followed by a detailed review by the IJSRSET editors.

 Email addresses for submitting articles are ijsrset@gmail.com, editor@ijsrset.com

JOURNAL INFORMATION

Title : International Journal of Scientific Research in Science, Engineering and Technology
Frequency : Bimonthly
Online ISSN : 2394-4099 | Print ISSN : 2395-1990
Publisher : Technoscience Academy [ https://technoscienceacademy.com ]
Refereed : Peer Review
Copyright : Technoscience Academy, India
Starting Year : 2015
Subject : Science, Engineering and Technology
Language : English
Distribution : Open Access
Publication Format : PDF & HTML -> Online
Document Identifier Type : DOI (https://doi.org/10.32628/IJSRSET )
Email Id : editor@ijsrset.com, ijsrset@gmail.com
Mobile No. : +91-8160745806
Website : https://ijsrset.com

Current Issue

Vol. 11 No. 3 (2024): May-June
International Journal of Scientific Research in Science, Engineering and Technology
Published: 30-05-2024

Research Articles

  • Automatic Power Factor Compensation (APFC) For Industrial Power Use to Minimize Penalty

    Babar Omakr, Sonawane Akshay, Kaygude Akshay, Ghalame Suraj, Shende Yashvant (Author)
    01-07

  • Crime Prediction Using Machine Learning and Deep Learning

    P. Karthik, P. Jayanth, K. Tharun Nayak, K. Anil Kumar (Author)
    08-15
    DOI: https://doi.org/10.32628/IJSRSET241134

  • Convolutional Neural Network Technology and Deep Learning for X-ray Image-Based Pneumonia Identification

    E. Thenmozhi, Bharath R. K., Gokulselvam R, Anbarasu K (Author)
    16-22
    DOI: https://doi.org/10.32628/IJSRSET241132
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