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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

67

Published Articles (2024)

51.04

Days Acceptance Time

76.38

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
DOI: 10.37591/JOCTA
Starting Year: 2010
Publication Format: Hybrid Open Access
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,

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Latest Articles

Ahead of Print

Edutrade Web Portal: A Comprehensive Educational Trading Platform for Students

EduTrade is a comprehensive online portal developed to address the challenges faced by students in accessing academic resources and fostering collaboration in a digital learning environment.

EduTrade, academic resources, student collaboration, sustainability, digital learning, Educational Web Portal, Student Resources, Peer-to-Peer Exchange, Chatbot Support, Academic Technology.

Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts

Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc.

Sentiment analysis, social media, RoBERTa, large language models (LLMs), text classification, natural language processing (NLP), machine learning, deep learning, twitter data

Artificial Intelligence and the Future of Education

Artificial Intelligence (AI) refers to the capability of a computer system to mimic human intelligence by performing tasks such as learning, reasoning, problem-solving, and decision-making.

Artificial intelligence in education, machine learning in learning systems, NEP 2020, AI, educational technology innovation

Adaptive E-Learning Algorithms and Heutagogy: A Systematic Analysis

The proliferation of artificial intelligence (AI) and machine learning (ML) technologies has transformed the digital education landscape by enabling adaptive e-learning systems capable of personalizing content and optimizing learning paths.

Adaptive learning, heutagogy, artificial intelligence in education, self-directed learning, deep knowledge tracing (DKT)

Harnessing NLP for Automation and Intelligence Across Sectors

Natural Language Processing or NLP is a vital subset of Artificial Intelligence or AI which enables machines to interpret, understand, and communicate using human language in a remarkable way.

NLP (natural language processing), AI (artificial intelligence), deep learning, EHRs, BERT, GPT

Design and Implementation of a Smart Irrigation System for Efficient Water Management in Agriculture

Water is one of the most important resources in farming, and using it wisely has become more important than ever.

Relay module, voltage regulator IC 7805, soil moisture sensor, DC motor, water pump