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Journal of Computer Technology & Applications Cover

Journal of Computer Technology & Applications

E-ISSN: 2229-6964 | P-ISSN: 2347-7229 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Computer Technology & Applications [2229-6964(e)] is a peer-reviewed hybrid open-access journal launched in 2010, focused on the rapid publication of fundamental research papers in all areas concerning the latest and recent research and review work in computers and their commercial and research contributions.

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Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

80

Published Articles (2024)

46

Days Acceptance Time

83.41

Day Publication Time

Total Visits

Journal Information

Title: Journal of Computer Technology & Applications
Abbreviation: jocta
Issues Per Year: 3 Issues
P-ISSN: 2347-7229
E-ISSN: 2229-6964
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JOCTA
Starting Year: 2010
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

View Full Editorial Board

jocta maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Varsha Kiran Bhosale, Professor & HOD

Arvind Gavali College of Engineering, Maharashtra, India, 415015

Email :

Latest Articles

Ahead of Print

Skin Disease prediction and classification from dermoscopy images using Neural Network

Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions.

Skin Disease, Neural Network, CNN, Medical Imaging, Deep Learning, CNN, dermoscopy

Automated Intelligence, Machine Learning, and Big Data in Education: A Practical Framework, Synthetic Demonstration, and Deployment Guidance

Artificial intelligence (AI), machine learning (ML), and big-data methods are increasingly used to improve educational decision making through personalization, early-warning systems, scalable feedback, and operational analytics.

educational data mining; learning analytics; machine learning; big-data pipelines; responsible AI

A SHAP - Enhanced Voice-Based Conversational Agent for Agriculture Using BERT

The integration of advanced artificial intelligence technologies into modern agriculture has become increasingly important for narrowing the persistent knowledge gap faced by farmers, especially in regions with limited access to expert advisory services.

Conversational Agent, BERT, Explainable AI (XAI), SHAP, Agriculture, Voice Interface, Natural Language Processing (NLP)

An Automated Smart Contract Repair Framework for Reentrancy, Integer Overflow, and Dos Vulnerabilities

This paper introduces a novel static analysis framework designed to bridge a long-standing gap in Ethereum smart contract security: the disconnect between vulnerability detection and automated remediation.

Smart Contract Security, Static Analysis, Automated Vulnerability Remediation, Reentrancy Detection, Integer Overflow Prevention, Denial-of-Service Protection, Solidity, Ethereum, Regex-Based Analysis, Blockchain Security Tools

Comparative Analysis of Supervised Learning Algorithms

Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output.

Machine learning, supervise learning, logistic regression, support vector machine learning, Random Forest

LOG IDENTIFICATION AND MONITORING SYSTEM USING GEN-AI

In contemporary software ecosystems, application and infrastructure logs play a vital role in ensuring system reliability, performance optimization, fault diagnosis, and security compliance.

Log Monitoring, Generative AI, Anomaly Detection, Distributed Systems, Real-Time Alerting