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Internet of Things (IoT) in Smart Systems and Applications
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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
DOAJ
,
CNKI
, EBSCO,
etc
.
APC:
1000 USD
Acceptance Rate:
27%
Average Days to Accept:
99 days
Managing Editor:
Ms. Mia Hu
E-mail:
editor@jait.us
Journal Metrics:
Impact Factor 2024: 1.5-Q3; CiteScore 2024: 4.8-Q3
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
2026-04-24
JAIT Vol. 17, No. 4 has been published online!
2026-04-16
All papers published in JAIT Vol.17, No. 3 have been indexed by Scopus.
2025-10-21
Exciting news! JAIT has been accepted for inclusion in the Directory of Open Access Journals (DOAJ)!
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
A Novel Lightweight Multi-Octave Dilated Temporal Convolutional Network with Explainable AI and Meta-Learning Approach Based Digital Financial Fraud Detection
Mohd Abdul Rahim Khan*, Yasir Hashim Naif, and Salima Sarahan ALMughairi
02
Federated Multi-Omics Breast Cancer Prognosis Using Optimized Graph-Enhanced Capsule Tab Transformer with Explainability Support
Umme Najma, Kalai Vani Yenamandram Sathyanarayana, Bhavya Ganga Reddy*, Savitha Suguna Kumar, Tirumalasetti Lakshmi Narayana, Sangita Chakraborty Bagchi, Sushil Lekhi, Belathur Ramanna Vatsala, M. Dash, P. Kumar Das, M. Thimmasandra, and J. N. Mohan
03
Enhancing Heart Rate Estimation with POS-SSA Remote Photoplethysmography
Ruixuan Wang*, Wei Quan, Bogdan Matuszewski, Nick A. Heywood, Christopher Gaffney, and Katie Hoad
04
Machine Learning Approaches for Imbalanced Post-Disaster Building Damage Classification: A Case Study of the 2022 Cianjur Earthquake
Eka Rahmawati*, Catur Edi Widodo, and Sorja Koesuma
05
Deep Learning-Based Occupancy Detection in Unmarked Parking Zones
Irina Dyomina, Natalya Denissova*, Mukhamed Tolegenov, Saule Rakhmetullina, Aizhan Tlebaldinova, and Zarina Khassenova
06
Implementation of GRU Model in Badminton Time Series Data for Movement Trajectory Prediction
Ming-Hung Lin, Luu-Ly Tran*, Han-Yu Chen, and Chih-Chieh Chang
Featured Articles
01
LLM4QA: Leveraging Large Language Model for Efficient Knowledge Graph Reasoning with SPARQL Query
Mingjing Lan, Yi Xia*, Gang Zhou, Ningbo Huang, Zhufeng Li, and Hao Wu
02
It Takes a Village: Youth Online Safety Research Highlights Need for Interdisciplinary, Multistakeholder Solutions
Elizabeth A. Sweigart*, Jinkyung Katie Park, and Pamela J. Wisniewski
03
Unveiling the Potential of Transformer-Based Models for Efficient Time-Series Energy Forecasting
Imane Moustati* and Noreddine Gherabi
04
Optimizing Intrusion Detection: Advanced Feature Selection and Machine Learning Techniques Using the CSE-CIC-IDS2018 Dataset
Qusay M. Alzubi*, Sharif Naser Makhadmeh, and Yousef Sanjalawe
05
A Novel Deep Learning Model for Flood Detection from Synthetic Aperture Radar Images
Thanh-Nghi Doan* and Duc-Ngoc Le-Thi
06
AI Driven Anomaly Detection in Network Traffic Using Hybrid CNN-GAN
Vuda Sreenivasa Rao*, R. Balakrishna, Yousef A. Baker El-Ebiary, Puneet Thapar, K. Aanandha Saravanan, and Sanjiv Rao Godla
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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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