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International Journal of Soft Computing and Engineering (IJSCE)

Publisher :

Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)

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Peer reviewed only
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Open Access
  • Soft Computing
  • Engineering
e-ISSN :

2231-2307

Issue Frequency :

Bi-Monthly

Est. Year :

2010

Mobile :

9669981618

DOI :

YES

Country :

India

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

support@blueeyesintelligence.org

Journal Descriptions

The journal aims to publish high-quality peer–reviewed original articles in the area of Soft Computing and Engineering that covers Data Communication and Networking, Artificial Intelligence and Neural Networking, Image Processing and Recognition, Software Engineering and Project Management (SEPM), Computer Graphics and Multimedia (CGM), Data Mining, Cryptography and Network Security, Smart Computing and Information Processing, Internet of Things (IoT), Computation Intelligence and Analytics, Machine Learning (ML) and Knowledge Mining (KM), Operating System, Data Base Management System (DBMS), Data Structure and Algorithm (DSA), Object Oriented Analysis and Design (OOAD), and all interdisciplinary streams of Soft Computing and Engineering.


International Journal of Soft Computing and Engineering (IJSCE) is :

International, Peer-Reviewed, Open Access, Refereed, Soft Computing, Engineering , Online Bi-Monthly Journal

UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2231-2307, Established in - 2010, Impact Factor

Provide Crossref DOI

Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

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Google Scholar
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Crossref
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Mendeley

+15 More

Publications of IJSCE

  • dott image January, 2014

Implementation of Network Reconfiguration Technique for Loss Minimization on a Standard 16 Bus Distribution System

Due to deregulation and restructuring it is expected that a large number of distributed generators will be connected to the distribution network. This will result in power distribution syste...

Adaptive Particle Swarm optimization with Neural Network for Machinery Fault Detection

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