Journal Press India®

Computology: Journal of Applied Computer Science and Intelligent Technologies

Double-blind Peer-reviewed (Refereed) Journal, No publication charges

Published By: Journal Press India
e-ISSN: 2584-0967
Editor/s: Prof. (Dr.) Thipendra P. Singh
Frequency: Bi-annual
Indexation: Index Copernicus International, Google Scholar, Cross-Ref, Research Gate.

 

About the Journal

Title Computology: Journal of Applied Computer Science and Intelligent Technologies
Frequency Bi-annual
Print-ISSN Applied for
E-ISSN 2584-0967
Starting Year 2021
Subject Computer Science
Language English
Publication Format Online & Print
Editor-in-chief Prof. (Dr.) Thipendra P. Singh
Publisher Name Journal Press India
Landline No. 011-42631517
Publisher Contact No. +91 8826623730
Publisher E-mail Ids editorial@journalpressindia.com; info@Journalpressindia.com
Publisher Website www.journalpressindia.com
Journal Website https://www.journalpressindia.com/computology-journal-of-applied-computer-science-and-intelligent-technologies 
Publisher Address Block A, Pocket 4, No. 17, 1st Floor, Sector-15, Rohini, Delhi - 110089, India
 

Mission

To provide the research community with a platform for exchanging new and innovative ideas in the development of intelligent computer systems, and their trans-disciplinary applications in different domains of life with a focus on state-of-the-art research which includes exploitation of various areas of Computer Science.

 

Aim and Scope

This journal provides a platform for research community to publish and disseminate their new innovative ideas to readers across the globe. The main focus of the journal is the development of new and advanced computer systems around cutting-edge technologies. Computer science is a field which has all three Vs (volume, velocity and variety) of change, and addressing and keeping track of these quick-paced changes becomes the aim of this journal.

The areas of consideration include algorithms, computer networks, computer architecture, distributed systems, communication technologies, data bases, intelligent technologies including machine intelligence, deep learning, natural language processing, convolutional neural networks, evolutionary computing, genetic algorithms, intelligent agents, optimization techniques, cognitive approaches, intelligent medical imaging, classification and clustering, computer vision, pattern recognition, pattern analysis, fuzzy logic, bio-informatics, handling big data, social network, crowd-sourcing,  & streaming data, feature selection, advances in social network systems, recommender systems, as well as other related generic and evolving topics in computer science

 

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