International Journal of Engineering & Technology (IJET)

Publisher : Science Publishing Corporation

Engineering

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e-ISSN 2227-524X

Issue Frequency Monthly

Est. Year 2016

Country Jordan

Language English

APC YES

Impact Factor Assignee Google Scholar

Email tavi.tabara@gmail.com

Journal Descriptions

The aim of the International Journa l of Engineering &Technology (IJET) (ISSN 2227-524X) is to provide fast publication of refereed, high quality original research papers in all areas of engineering and technology. The journal covers following disciplines:

International Journal of Engineering & Technology (IJET) is :-

International, Peer-Reviewed, Open Access, Refereed, Engineering , Online , Monthly Journal
UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2227-524X, Established: 2016,
Does Not Provide Crossref DOI
Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

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Google Scholar

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Publications of IJET

Advancing the Cryptographic Hash-Based Message Authentication Code

Ashish Avasthi July, 2011

In today’s word the authentication is very much required for the purpose of the transfer of the information from one place to another. Now a day’s the use of E-mail become very popular b...

Performance of Bluetooth in Homogeneous Environment

Anil S. Shirsat July, 2018

Various wireless technologies use unlicensed ISM band in a frequency range 2.4GHz. Due to collocated, services causes mutual interference to one other; it degrades performance regarding Bit ...

Sine Cosine Optimization Based Multilevel Segmentation of Digital Images

Rakoth Kandan

Effect of Saw Wood Dust and Cattle Bone Powder on Mechanical Properties of Polyester Based Glass Reinforced Hybrid Composites

Raffi Mohammed January, 2018

Biometric user authentication using Gray Wolf Optimization

V CHANDRASEKAR February, 2026

Design and Implementation of Web Prefetching Solution

G.N.K. Suresh Babu

Deep Learning based Intelligent Human Diseases- Gene -Association Prediction Technique for High Dimensional Human Disease Data Sets

N. K. Sakthivel January, 2019

ECAGS : An Enhanced Cancer- Associated Gene Selection Technique for Cancer Patterns Classification and Prediction

N. K. Sakthivel