Computing the better
    The World is no more about computers than astronomy is about telescopes.- Edsger W.Dijkstra Read More

    Describing Algorithm to bring Positive ChangeAn algorithm must be seen to be believed.
    -Donald Knuth
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    Having Strong Base and a Huge NetworkThe Internet is becoming the town square for the global village of tomorrow. -Bill Gates Read More
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Introduction & Purpose
Section D, Neural and AI of the Global Journal of Computer Science and Technology, focuses on foundational aspects of modern computing and technology. It is an international, peer-reviewed, double-blind journal accepting original research papers and articles spanning domains and not limited to software and computing, hardware and ICs, AI and distributed computing, networks, databases, and the cloud.


With advancements in computers and sensors, humans are collecting more data every day and automating it to generate better results. Studying and designing better algorithms and computing methods is now one of the major elements of research and science. This journal aims to provide academia with new methodologies and applications. Special editions of this journal may contain white papers, reports, accepted standards, and theses.


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Global Journal of Computer Science and Technology

Since 2001, Global Journal of Computer Science and Technology: (D) Neural & AI, has been an interdisciplinary, academic, open-access, peer-reviewed, refereed journal focusing on all aspects of computer science. The GJCST is superintended and sponsored by the Open Association of Research Society USA (OARS). The OARS has been esteemed internationally since 1964, aiming to highlight the research of frontiers and enhance research and development.


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Best Practices

Type of License Creative Commons
Open Access Yes
Does the author retain unrestricted copyright? Yes
Does the author retain publishing rights? Yes
Permanent article identifier DOI (Digital Object Identifier)

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Latest eJournals of GJCST

GJCST-G Volume 17 Issue 1

Journal Specification

GJCST-D Volume 17


ISSN Online 0975-4172
ISSN Print 0975-4350
Print Estd. 2001
DOI 10.17406/gjcst
Publishing Frequency Monthly
Society Accreditation Yes

Journal Metrics

Recent Citations

Citation indices  All Since 2011
Citations 3804   3560
h-index 26 25
i10-index 100 93
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Technology and Innovation Blog of Computer Science

Recent Articles Published in GJCST-D

Artificial Intelligence: Uses and Misuses

Artificial Intelligence (AI) was mostly regarded as science-fiction in the past but with the recent advancements in technology, it has silently crept into our lives. From social media to computer games to self-driving cars to military gadgets to personal digital assistants, AI is everywhere. This progress is also due to a paradigm shift in AI commu...

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A Neural Network Approach to Transistor Circuit Design

Transistor amplifier design is an important and fundamental concept in electronics, typically encountered by students at the junior level in electrical engineering. This paper focuses on two configurations that employ neural networks to design bipolar junction transistor circuits. The purpose of this work is to determine which design best fits the ...

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Artificial Intelligence and Customer Communication

There is a rapid increase in the usage of artificial intelligence in the most recent decade. Use of Artificial Intelligence in the customer interaction is gaining traction in the market. It is saving a lot of money because chat bots are taking away the need of physical resources. Best utilization of AI is past the customary contact focus, where an ...

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Relevance Search via Bipolar Label Diffusion on Bipartite Graphs

The task of relevance search is to find relevant items to some given queries, which can be viewed either as an information retrieval problem or as a semi-supervised learning problem. In order to combine both of their advantages, we develop a new relevance search method using label diffusion on bipartite graphs. And we propose a heat diffusion-based...

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Articles under Review

Level of Satisfaction using Moodle as an E-Learning Tool for Students in B-School

This study is to find the level of satisfaction using Moodle as an E-Learning Tool for Students in B-School. As Moodle being free open source software there are many institutes using Moodle as their e-learning platform to run and execute their courses, to interact with students and faculty members. Moodle is being used for conducting on-line test, ...

Color Image Segmentation using Automated K-Means clustering with RGB and HSV Color Spaces

Segmentation implies the division of an image into different objects or connected regions that do not overlap. Though, extensive research has been done in creating many different approaches and algorithms for image segmentation, however, it is still not very clear to assess whether one algorithm produces more accurate segmentations than another, wh...

A Review of Intrusion Detection Systems

An intrusion detection system (IDS) are devices or software’s that are used to monitors networks for any unkind activities that bridge the normal functionality of systems hence causing some policy violation. This paper reviews some of the intrusion detection systems and software’s highlighting their main classifications and their performance ev...

Automatic Detection for Healthy and Unhealthy Kidneys on Abdominal CT Images using Machine Learning Algorithm

In this paper, we have proposed a machine learning (Support Vector Machine) approach for detecting healthy and unhealthy kidneys in CT (Computed Tomography) images. At first, kidney region have been segmented from the abdomen area using region growing algorithm. After successful segmentation, the kidney region is extracted and it is given to Suppor...

Prediction of Total Electron Content using Nonlinear Autoregressive Models with eXogenous input Recurrent Neural Network

The satellite navigation system needs the prediction of the ionospheric information. It is crucial to select a competent ionospheric model and predict the value of Total Electron Content (TEC) data. Determining the TEC from dual-frequency GPS observations has become important since it is used by many researchers for different research areas. In thi...

Articles under Press


A Survey on Bandwidth Management Techniques Via the OSI Model Network and Application Layers

Nowadays, virtually all the basic aspects of human endeavor is computer and network dependent. Therefore bandwidth being one of the most valued resource and component of any network must be properly managed to yield a reliable performance. Over the years, different algorithms, models, techniques and applications have been developed for network and ...

An Efficiency Study on Fault Tolerent Fir Filters

In this Digital World, Digital filters are the boom for modern digital communications in which Fir filters play a vital role. But the reliability of these filters is still a paradox. Nowadays electronic devices with multiple numbers of filters are used in various fields. Hence the performance and reliability of the filters must be improved. A numbe...

FREE HIT – A Novel History based Reinforcement Approach for Fast Path Construction in Vehicular Ad hoc Networks

Vehicular ad hoc networks playing significant role in development of intelligent transport system and rise in demand for accessing fascinated applications such as entertainment and advertisements in vehicles via internet leverages to build efficient routing mechanisms. Due to rapid vehicles flow in Vanets, network often subjected to link breaks and...

Capacity-aware Control Topology in MANET

The wireless mobile adhoc networks are dynamically Varying, the network performance may change by different unknown parameters such as the total number of nodes in the network, the transmission power range of the network and area of deployment of the network. The main aim is to increase the efficiency of the system through dynamically changing the ...

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