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.


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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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

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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

Generative AI and Algorithmic Art: Disrupting the Framing of Meaning and Rethinking the Subject-Object Dilemma

In the revision of treatments of contemporary art in the 21st century, art historians are recognizing 2022 as the dawn of the age of creative artificial intelligence (AI). The emergence of generative AI tools like ChatGPT and Stable Diffusion in late 2022 immediately disrupted the established practices of the art world, leading to debates about the...

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The Poetry of Prompts: The Collaborative Role of Generative Artificial Intelligence in the Creation of Poetry and the Anxiety of Machine Influence

2022 has been heralded as the year of generative artificial intelligence (AI). Generative AI like ChatGPT and Stable Diffusion, along with a host of others launched late in the year and immediately disrupted the status quo of the literary and artworlds, leading to outcries to ban “AI Art” and spawning an entirely new market of NFTs. Fears over ...

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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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Articles under Press


Neural Reasoning Machines for Recommendation

Most of the existing recommendation models are designed based on the principles of learning and matching: by learning the user and item embeddings and using learned or designed functions as matching models, they try to explore the similarity pattern between users and items for recommendation. However, recommendation is not only a perceptual matchin...

An Efficient Decision Making system for Sustainable Fertilization

Farmers often face challenges in effectively managing fertilizer use and must rely on expert advice to maximize yields while minimizing fertilizer waste. Precipitation plays an essential role in the loss of nutrients after each rainfall event. Timely rainfall can help nutrients penetrate into the root zone of the soil and dissolve dry fertilizer, t...

Aho-Corasick Trees for Efficient Data Storage and Machine Learning

In this work we present to reader the novel research on account for efficiency of compression algorithms like Lempel-Ziv Welch and Aho-Corasick trees. We use them to build the proper storage which is called file system in a separate or generalized stream of data. These streams weren’t adopted before for big data to be compressed and queried at a ...

The Efficacy of an Automated Reminder System for Employee Clock-in and Clock-out Times

Effective timekeeping is the foundation of many business processes. It’s crucial to the management of work hours, overtime, employee productivity, and payroll. It’s also important for legal compliance in many jurisdictions where labor laws require accurate tracking of employee hours. Despite the importance of accurate timekeeping, businesses o...

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