• COMPUTER

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

    Describing Algorithm to bring Positive ChangeAn algorithm must be seen to be believed.
    -Donald Knuth
    Read More
  • NETWORK

    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.

Peer-reviewed

The peer review workflow and process is rigorous and double-blind following recognized standards.
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Print Journal

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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3D virtual journal, e-journal, PDF, PS, HTML, and PKP Open Journal System’s XML formats are available for each article.
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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 22

GJCST 11

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

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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

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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Artificial Intelligence Assisted Consumer Privacy and Electrical Energy Management

Smart metering infrastructure brings unique benefits for Utility Companies as well as consumers, however, massive consumer data collected and transmitted by the smart meters have raised consumers’ privacy concerns. This paper presents a novel solution that is based on Artificial Intelligence Agent that continuously computes the gap between “Ave...

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Steam Package Boiler Expert System for Control and Maintenance of Fertilizer Plants using Rule-Base Fuzzy Logic

Generally, expert systems have been found very useful and even in fertilizer plants it has been deployed in handling operations in critical sections, such as material handling systems, online detection systems, granulation, air compressor among others. This paper presents research work for steam package boiler expert system for control and maint...

Review on the Application of Machine Learning to Cancer Research

This study reviews the application of machine learning through different algorithms in cancer research. The research on machine learning is digitalized through improved artificial network connectivity and computational power. This shifted the effect of machine learning from artificial intelligence to solving practically natural problems. Cancer h...

Use of Techniques and Tools for Investigative Process in Computational Forensic Expertise

Computer forensics investigates and retrieves information about a fact, as well as examining digital evidence that can be decisive in any technological situation. The research will explain techniques that are used during the expertise, ensuring the integrity of the data so that the analysis is not impaired. First, a bibliographic survey will be ...

Articles under Press

 

A Machine Learning-Based Model for Implementing the Cybersecurity for Organizations ‘Assets

Abstract—In the current era, cybersecurity problems are one of the critical problems that threaten the organizations’ assets, since they may cause a big financial and moral loss. and in the parallel the with the advent of the Machine Learning and Artificial Intelligence techniques, It is important and wise to use these technologies to help in a...

Seaweeds and its Applications: A Review

Kelp is one of the main living assets of the sea. Despite their wide applications in food and feed businesses, they have acquired significance as restorative sources due to their high mending, antimicrobial and antioxidative properties. As a rich wellspring of important compound parts, ocean growth is utilized in different businesses like beauty ca...

Crop Production Modeling System for Diverse Physiographical Areas in Nueva Vizcaya

The wide range of environmental factors affecting cropping is very difficult to ascertain most especially with the absence of climate monitoring equipment and dissemination of an up-to-date weather data forecasting. Due to climate change, irregular weather patterns cause major disruptions in agricultural activities and heavy damage to crop yields. ...

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...

Blind Assistance System using Image Processing

Eye diseases usually cause blindness and visual impairment. As per the statistics, there are over 285 million visually impaired people living worldwide. They come across many troubles in their daily life, especially while navigating from one place to another on their own. They often depend on others for help to satisfy their day-to-day needs. So, i...

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