International Journal of Advanced Studies in Computer Science and Engineering (IJASCSE)

                                                                                                                                                                                                   ISSN : 2278 7917 

Call For Papers

May 2019

  Submission         May 10

  Acceptance         May 20

  Publication          May 31

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International Journal of advanced studies in Computer Science and Engineering (IJASCSE) is here to provide a timely and broad coverage of research in ever-challenging field of Computer Science and Computer Science Engineering. IJASCSE is an interdisciplinary, peer reviewed, fully refereed, monthly, Open Access journal for research scholars with a mix of regular and theme based issues to share their new and advanced research in Computer Science and Engineering. 


The papers published at IJASCSE are currently Abstracted & Indexed by some world famous databases.

 Call For Papers

April  2019

     Submission                     April 10

      Notification                     April 20

      Publication                     April 30

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Open Access Database


IJASCSE is an online peer reviewed quality publication, which publishes rearch papers from diverse fields in computers, sciences, engineering and technologies that emphasizes new research, development and their applications. It provides an open access database for all who are interested to exchange their research work, technical notes & surveying results among professionals through out the world.


 IJASCSE volume 2 special issue 2                                                                                                                

A Workflow-Forecast Approach To The Task Scheduling Problem In Distributed Computing Systems
Andrey Gritsenko


Embedded Sub Tree Mining for Discovering Patterns

P. Maheswari, Dr. R. Manavalan


HRCTL: A Specification Logic for Hierarchical Hybrid Automata

Ammar Mohammed


Optimizing Structuring Element Using Eagle Optimization for Image Denoising: Performance Analysis

V. Mythili, Dr. R. Manavalan


The Novel Approach of Adaptive Twin Probability for Genetic Algorithm

Anagha P. Khedkar, Dr. Shaila Subbaraman


The USA Coffee market: Computational Analysis

Richard Eduma, Gary Priencten

distributed_computing_systems
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human_interaction
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hrctl_1
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image_denoising
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genetic_algorithm
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us_coffee_market
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