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

                                                                                                                                                                                                   ISSN : 2278 7917 

Call For Papers

January 2019

  Submission         January 10

  Acceptance         January 20

  Publication          January 30

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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

December  2018

     Submission            December 10

      Notification            December 20

      Publication            December 31

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Open Access Database


IJASCSE is an online peer reviewed quality publication which publishes research papers from diverse fields in computers, science, 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 4 issue 8

                                                                                                                                                                                

 

 A Comprehensive Study on Intelligent Tutoring Systems

N. Sharada, M. Shashi, D. Madhavi


­­Dynamic Virtual Topology for Congestion Control in high speed LANs

Veera Nagaiah Maddikayala, R. Chandrasekhar

 

Multitasking Programming of OBDH Satellite Based On PC-104 

Haryono

 

Video Image Sequence Super Resolution using Optical Flow Motion Estimation

Saeid Fazli, Hamed Fathi  

 

WRAN Technologies: A survey 

KSk Gautam, N Gupt, A Wali


Users of Social Networking website: A study of behaviour

Nishtha Kesswani

 

educational_data_mining
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dynamic_algorithm_topology
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os_obdh
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optical_flow_motion_estimation
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wran technologies
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social_networking_website_users.pdf
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