About Science and Engineering Research Journal

Science and Engineering Research Journal (SERJ) is an international, peer-reviewed, open-access journal dedicated to advancing knowledge and innovation across the fields of science, engineering, and technology. SERJ provides a platform for researchers, engineers, and scholars to publish high-quality original research, reviews, and case studies that drive progress and foster collaboration in both fundamental and applied sciences. Click here for more detail.

Science and Engineering Research Journal Cover

ISSN: 2997-7142

Impact Factor: 6.84

Current issue:

Current issue: Volume 13, Number 3

Distribution: Open Access

Frequency: Published continously online with 6 issues per year.

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Recent Publications

Volume 13, Number 3

Recognizing And Explaining Bias In Job Descriptions: A Roberta-powered Recruitment Framework

Rohan Prakash Sharma ⁽¹⁾

(1) Department of Artificial Intelligence, GHRCEM, Nagpur, India

PDF JATS Abstract View: 2680 PDF downloads: 1418 JATS downloads: 228 DOI: 10.5281/zenodo.17242159

Adapting Urban Marketplaces: Performance Indicators For Sustainable Public Space Development

Ananya Suresh Verma ⁽¹⁾

(1) Mathura Devi Group of Institution, Indore, Madhya Pradesh, India

PDF JATS Abstract View: 2842 PDF downloads: 1496 JATS downloads: 158 DOI: 10.5281/zenodo.17242163

Personalized And Efficient Shopping: Ai-powered Smart Grocery Ordering System

Aarav Saleem Khan ⁽¹⁾

(1) Department of Computer Science & Engineering, Galgotias University, India

PDF JATS Abstract View: 990 PDF downloads: 383 JATS downloads: 195 DOI: 10.5281/zenodo.17242204

Derivation And Modelling Of Dynamic Equations Of Synchronous Generator For Hydro Power Plant

Victor Olumuyiwa Babarinde ⁽¹⁾, Stanley Esobinenwu Chizindu ⁽²⁾

(1) Department of Electrical/Electronic Engineering, University of Port Harcourt, Rivers State, Nigeria
(2) Department of Electrical/Electronic Engineering, University of Port Harcourt, Rivers State, Nigeria

PDF JATS Abstract View: 1744 PDF downloads: 528 JATS downloads: 344 DOI: 10.5281/zenodo.17242224

Improving Corrosion Penetration Rate Estimates Through Meta-analysis

Samir Mohamed Saleh Al-Khoja ⁽¹⁾

(1) Faculty of Engineering, University of Benghazi, Libya

PDF JATS Abstract View: 690 PDF downloads: 1555 JATS downloads: 426 DOI: 10.5281/zenodo.17241951