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
    Read More

    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.


Objective of Journal
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.


The peer review workflow and process is rigorous and double-blind following recognized standards.
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The multi-colored print journal is impressed on 110 GSM paper and matt-laminated photo paper binding. After e-journal launch using an innovative and eco-friendly production process, a complimentary copy is dispatched to authors within ten days.


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Global Journals Incorporated is Delaware, USA-based and a well-established international organization which is governed by ISO-certified groups and accredited by non-profit societies. For more than a decade, thousands of universities and authors from 153 countries have acknowledged and published with us.
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Our inviolable and mandatory practice of thorough peer review at the heart of our scholarly publishing is to ensure that only good science is published in our refereed journal.

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The journal is indexed/being indexed by almost all relevant indexing organizations with world-class standards for journal assessment to match the requirements of top universities and institutions.
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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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Journal Specification

GJCST-D Volume 23


ISSN Online 0975-4172
ISSN Print 0975-4350
Print Estd. 2001
mEDRA DOI 10.17406/gjcst
CrossRef DOI 10.34257/gjcst
Publishing Frequency Monthly
Society Accreditation Yes

Journal Metrics

Recent Citations

Citation indices  All Since 2015
Citations 7924   5778
h-index 37 31
i10-index 188 127

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Technology and Innovation Blog of Computer Science

Recent Articles Published in GJCST-D

Using Unlabeled Data for Increasing Low-Shot Classification Accuracy of Relevant and Open-Set Irrelevant Images

In search, exploration, and reconnaissance tasks performed with autonomous ground vehicles, an image classification capability is needed for specifically identifying targeted objects (relevant classes) and at the same time recognize when a candidate image does not belong to anyone of the relevant classes (irrelevant images). In this paper, we prese...

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Neural Network Design using a Virtual Reality Platform

The evolution of Deep Learning (DL), a subset of machine learning, has made their use very effective in many artificial intelligence (AI) fields. In parallel Virtual Reality is going wide in many applications thanks to the proliferation of cameras in mobile devices and improved processing efficiency. Data visualization in deep learning is a fundame...

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Vehicle Routing Problem with Time Window Constrain using KMeans Clustering to Obtain the Closest Customer

In this paper, the problem statement is solving the Vehicle Routing Problem (VRP) with Time Window constraint using the Ant Colony Algorithm with K-Means Clustering. In this problem, the vehicles must start at a common depot, pickup from various ware houses, deliver to the respective nodes within the time window provided by the customer and returns...

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Machine Learning Model Optimization with Hyper Parameter Tuning Approach

Hyper-parameters tuning is a key step to find the optimal machine learning parameters. Determining the best hyper-parameters takes a good deal of time, especially when the objective functions are costly to determine, or a large number of parameters are required to be tuned. In contrast to the conventional machine learning algorithms, Neural Network...

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Detailed Analysis and Identification of Key Factors Resulting in Motor Accidents Across the UK

Motor accidents across the globe amount to a large number of deaths every year. The collisions result in not just the personal injury to people involved but also in the loss of money to the motor insurance companies, trauma to the people involved, and added pressure on the emergency services. With the help of data analytics techniques, this project...

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Articles under Review

Context Free Grammar with Pushdown Automata and Chomsky Normal form

CFGs are used as models of syntax for both natural and programming languages. The notion of constituency plays a critical role in developing grammars. A significant aspect of developing grammar for a natural language lies in discovering constituents present in the language. A noun phrase refers to a sequence of words surrounding one or more no...

Applications of Hidden Markov Model

A Hidden Markov Model (HMM) is a statistical model which is also used in machine learning. It can be used to describe the evolution of observable events that depend on internal factors, which are not directly observable. A Hidden Markov Model (HMM) is a statistical model which is also used in machine learning....

Accurate Prediction of Startup Unicorns using Machine Learning Algorithms

Artificial intelligence is now a prominent topic in study, and it will soon exceed human decision-making. Whether or not humans or machines are superior at complex and creative endeavours like innovation remains a point of contention. The inability of a machine to process and interpret "soft" data (information that can be quantified) and the inab...

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