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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
5%
APC:
1000 USD
Average Days to Accept:
87 days
Journal Metrics:
Impact Factor 2023: 0.9
4.2
2023
CiteScore
57th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-06-26
Vol. 15, No. 6 has been published online!
2024-06-07
JAIT received the CiteScore 2023 with 4.2, ranked #169/394 in Category Computer Science: Information Systems, #174/395 in Category Computer Science: Computer Networks and Communications, #226/350 in Category Computer Science: Computer Science Applications
2024-05-28
Vol. 15, No. 5 has been published online!
About JAIT
Current Issue
Forthcoming Issue
Submit to JAIT
Journal of Advances in Information Technology
Welcome to the website of the
Journal of Advances in Information Technology
.
JAIT
is centered around the idea of new and emerging IT advancements geared towards finding solutions in tackling the problems and challenges that we face in the 21st century. This necessitates a forward-looking and multidisciplinary/convergent approach and aims at harnessing advances in computing and IT both to improve our everyday life in a multitude of ways and to meet the challenges of tomorrow.
The published articles would immediately demonstrate ‘useful’ research. All papers will be blind reviewed and accepted papers will be published in online version (
open access
).
Latest Articles
01
Maximizing Learning Outcomes through Fuzzy Inference System and Graph Theory Based on Learning Analytics
J. Chandra Sekhar, Balajee J., Sanjiv R. Godla, Vuda Sreenivasa Rao, Yousef A. B. El-Ebiary, and Chamandeep Kaur*
02
Movie Box-Office Revenue Prediction Model by Mining Deep Features from Trailers Using Recurrent Neural Networks
Canaan T. Madongo*, Zhongjun Tang, and Jahanzeb Hassan
03
Classifying Alzheimer’s Disease Phases from sMRI Data Using an Adaptive Clonal Selection Approach
Mathews Emmanuel* and J. Jabez
04
A Minimization Number of Final Exponentiations and Inversions for Reducing the Decryption Process Time in ELiPS-Based CP-ABE
Le Hoang Anh*, Yuta Kawada, Samsul Huda, Md. Arshad Ali, Yuta Kodera, and Yasuyuki Nogami
05
A Hybrid Deep Learning Based Deep Prophet Memory Neural Network Approach for Seasonal Items Demand Forecasting
Praveena S* and Prasanna Devi S
06
Bridging the Gap: A Hybrid Approach to Medical Relation Extraction Using Pretrained Language Models and Traditional Machine Learning
Nesma A. Hassan, Rania A. Abul Seoud, and Dina A. Salem*
Featured Articles
01
An Optimized Neural Network Using Genetic Algorithm for Cardiovascular Disease Prediction
Jan Carlo T. Arroyo and Allemar Jhone P. Delima
02
Performance of Machine Learning Techniques in Anomaly Detection with Basic Feature Selection Strategy - A Network Intrusion Detection System
Md. Badiuzzaman Pranto, Md. Hasibul Alam Ratul, Md. Mahidur Rahman, Ishrat Jahan Diya, and Zunayeed-Bin Zahir
03
Multimodal Wearable Sensing for Sport-Related Activity Recognition Using Deep Learning Networks
Sakorn Mekruksavanich and Anuchit Jitpattanakul
04
Performance Evaluation of Sentiment Analysis on Text and Emoji Data Using End-to-End, Transfer Learning, Distributed and Explainable AI Models
Sirisha Velampalli, Chandrashekar Muniyappa, and Ashutosh Saxena
05
IoT-Based Garbage Container System Using NodeMCU ESP32 Microcontroller
Anthony Anggrawan, Sirojul Hadi, and Christofer Satria
06
Chronic Kidney Disease Prediction Using Machine Learning
Chamandeep Kaur, M. Sunil Kumar, Afsana Anjum, M. B. Binda, Maheswara Reddy Mallu, and Mohammed Saleh Al Ansari*
Faqs
Can I submit an abstract?
The journal publishes full research papers. So only full paper submission should be considered for possible publication. Papers with insufficient content may be rejected directly in preview process.
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