GJCST Volume 23
ISSN Online : 0975-4172
ISSN Print : 0975-4350
Print Estd. : 2001
DOI : 10.17406/gjcst
Publishing Frequency : Monthly
CODEN : GJCST
Society Accreditation : Yes
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
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...
Read Paper
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...
Read Paper
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 c...
Read Paper
Machine Learning Model Optimization with Hyper Parameter Tuning Approach
Hyper-parameters tuning is a key step to find the optimal machine learning parameters. Determining t...
Read Paper
