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Internet of Things (IoT) in Smart Systems and Applications
Human-Computer Interaction (HCI) in Modern Technological Systems
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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
, EBSCO,
etc
.
Acceptance Rate:
17%
APC:
1000 USD
Average Days to Accept:
95 days
Managing Editor:
Ms. Mia Hu
E-mail:
editor@jait.us
Journal Metrics:
Impact Factor 2024: 1.5-Q3; CiteScore 2024: 4.8-Q3
4.8
2024
CiteScore
64th 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
2025-07-25
JAIT Vol. 16, No. 7 has been published online!
2025-06-26
Papers published in JAIT Vol.16, Nos. 4&5 have been indexed by Scopus.
2025-06-18
Recent News! JAIT JIF 2024: 1.5; Q3 in category of Computer Science, Information Systems
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
Item-Based Context-Aware Collaborative Filtering Using Energy Distance with Pre-filtering Contextual Feature
Linh Thuy Thi Nguyen, Lan Phuong Phan, and Hiep Xuan Huynh*
02
AI-Generated Text Detection and Source Identification
Anjana Priyatham Tatavarthi*, Faranak Abri*, and Nada Attar
03
Performance Evaluation of CoAP Communication Method Extensions in Internet of Video Things
Yoanes Bandung, Mokhamad A. Wicaksono, Sean Pribadi, Kusprasapta Mutijarsa, Armein Z. R. Langi, and Dion Tanjung*
04
Degradation of Lidar-Based 3D Object Detection under the Influence of Artificial Rain
Christoph Rohmann*, Bashar Hoary, Silas Scholz, and Harald Konrad Bachem
05
EfficientNet Deep Learning Model for Lung Cancer Early Diagnosis from Computed Tomography Scan Images with Transfer Learning
Noor Ayesha, Ibrahim Hayatu Hassan, Abeer Rashad Mirdad, and Amjad R. Khan*
06
A Frilled Lizard Optimization Based Energy Efficient Clustering Algorithm for Internet of Things
Prasad Nagelli* and Ramana Nagavelli
Featured Articles
01
Evaluating the Effectiveness of YOLO Models in Different Sized Object Detection and Feature-Based Classification of Small Objects
Luyl-Da Quach*, Khang Nguyen Quoc, Anh Nguyen Quynh, and Hoang Tran Ngoc
02
A Novel Fuzzy-Based Thresholding Approach for Blood Vessel Segmentation from Fundus Image
Farha Fatina Wahid, Raju G., Shijo M. Joseph, Debabrata Swain, Om Prakash Das, and Biswaranjan Acharya*
03
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*
04
Efficient Brain Tumor Classification with a Hybrid CNN-SVM Approach in MRI
Shweta Suryawanshi* and Sanjay B. Patil
05
Ovarian Tumors Detection and Classification from Ultrasound Images Based on YOLOv8
Thi-Loan Pham and Van-Hung Le*
06
Hybrid Deep Learning Network Intrusion Detection System Based on Convolutional Neural Network and Bidirectional Long Short-Term Memory
Anindra Ageng Jihado* and Abba Suganda Girsang
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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