GJCST Volume 25

MATRICES
TITLE AND INDICESALLLAST FIVE YEARS
Citations43034056
h-index2827
i10-index109101

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 thesis.
RECENT MANUSCRIPTS
Intelligent Ticket Assignment System: Leveraging Deep Machine Learning for Enhanced Customer Support
In the evolving customer support domain, traditional ticketing systems struggle to meet increasing d...
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Advancing Real-Time Crime Weapon Detection and High-Risk Person Classification in Pre-Crime Scenes: A Comprehensive Machine Vision Approach Utilizing SSD Detector
The application of state-of-the-art in deep learning detection algorithms, such as You Only Look Onc...
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An Integrated Strategic Architectural Framework for AI-Augmented HRM
Academic literature is currently lacking on the topic of how to acquire, deploy, integrate, and reco...
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Unveiling Customer Sentiments: A Comprehensive Analysis of Product Reviews on Amazon
This research delves into the multifaceted implications of customer feedback within the e-commerce l...
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