Indexing Information

Welcome to the Journal of Research in Engineering and Applied Sciences(JREAS)


The Journal of Research in Engineering and Applied Sciences is a peer-reviewed international forum for academicians and engineers involved in research to publish good quality and refereed papers. The journal is published quarterly i.e. 4 issues in year in the month of January, April, July and October. It provides a fast and free review for authors with no publication charges so as to publish their original quality work. The typical review time is around 4 weeks. Papers for publication are selected through peer review to ensure originality, relevance, and readability. The journal has a strong editorial board with its team members all across the globe. The papers are accepted throughout the year and are available online open access in order to have wider visibility across the globe. Earlier this journal was named as an International journal of research in Engineering and Applied Sciences, which started from year 2013 with biyearly and later named as JREAS in the year 2016 published quarterly in line with the requirement of Scopus and other indexing agencies.
This journal is published by Yeshwantrao Chavan College of Engineering (YCCE), is established in 1984 by the Nagar Yuwak Shikshan Sanstha, Nagpur from central India. The college is affiliated to Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur. YCCE is a one of the premier engineering education and research institute and has large number of renowned and experienced faculty members in the field of Engineering and Technology.


Journal of Research in Engineering and Applied Sciences

  • Double blind peer reviewed
  • Easy Online Submission
  • No Processing Fee
  • No Publication Fee
  • Wide access
  • Prompt Review

Volume 5 Issue 4 : Oct 2020


Original articles
ANALYSIS OF POWER LOSSES IN 33/11 KV DISTRIBUTION FEEDER CIRCUITS VIA LOSS FACTOR TECHNIQUE
Hachimenum Nyebuchi Amadi

Original articles
Modeling and Multi-Objective Optimization of Thermophysical Properties for Thermal Conductivity and Reynolds number of CuO-Water Nanofluid using Artificial Neural Network
Amin Moslemi Petrudi

Original articles
RELIABILITY ASSESSMENT OF SABON-GARI DISTRIBUTION SUBSTATION BASED ON COMPONENTS PERFORMANCE
Hachimenum Nyebuchi Amadi

Original articles
WELL DETECTION USING IMAGE PROCESSING
T.R.Ravi, Kshitij Kuhikar, Yashaswi Kalambe, Ameya Wagh and Utkarsha Deshkar

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Yeshwantrao Chavan College of Engineering, Hingna Road, Wanadongri, Nagpur- 441110
 Phone : +91-7104-237919, 329249, 329250     Email : editorijreas@gmail.com