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Sections
Topics
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
,
DOAJ
,
CNKI
, EBSCO,
etc
.
APC:
1000 USD
Acceptance Rate:
28%
Average Days to Accept:
105 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
2026-01-20
JAIT Vol. 17, No. 1 has been published online!
2025-12-18
Papers published in JAIT Vol.16, No. 11 have been indexed by Scopus.
2025-10-21
Exciting news! JAIT has been accepted for inclusion in the Directory of Open Access Journals (DOAJ)!
Home
>
Published Issues
>
2026
>
GCTformer: Generalizable Spatio-Temporal Traffic Forecasting Using Graph and Transformer Models
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ML and DL Approaches for Drug Review Classification Using a Composite Effectiveness–Satisfaction Score
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Advanced Techniques for Spatio-Temporal Data Management in Graph Databases—A Systematic Review
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Behavioral Authentication Model for Smartphone Users Based on Gyroscope and Accelerometer Data for Mobile Educational Resources
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Classification of Batik Patterns Using Inception-ResNetV2 with Data Augmentation
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PolyVision: Optimising Retinal Disease Detection Through Collaborative Neural Networks
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Evaluation of Databases for Digital Twins and Industrial Internet of Things: A Comparative Analysis
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Toward an Embedded Semantic Reasoning Database: From Similarity Search to Semantic Discovery
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A Comprehensive Study of Image-Based 3D Reconstruction Using Deep Learning
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Enhancing Gold Price Forecasting Using Machine Learning Models Optimized with Metaheuristic Algorithms
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Mapping Continental Water Bodies in the Peruvian Andes Using Machine Learning and Sentinel-2 Imagery
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SymLink: Multi-Agent NLP System for Medical Triage Optimization and Symptom Association Discovery
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Feature Selection for High-Dimensional Data: A Case Study of NFT Valuation
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Novel Human Object Detection Method Based on YOLO Deep Learning Optimization Strategy
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A Deep Knowledge-Infused Adaptive Hybrid Network for Speech-Based Depression and Severity Detection
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Smart Crop Recommendation for Precision Agriculture: A Comparative Analysis of Ensemble and Deep Learning Models Using Soil and Environmental Data
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Improved Minimum Sum-of-Squares Clustering (MSSC) Algorithm for Educational Big Data Recommendation Systems
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Intelligent Malware Detection through Bio-Inspired Optimization and Gradient Boosting
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Violence Detection in Videos Using Discriminant Frame Extraction and Convolutional Long Short-Term Memory
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Deep Learning Modeling for Baum Test Interpretation in Psychological Evaluation Using YOLOv8
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Enhancing Facility Asset Management through Graph-Based Asset Lifecycle Modeling: A Multi-Dimensional Approach
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Enhanced Sentiment Analysis Using Extended Corpus and Co-Occurrence Graph
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A Sentiment and Context-Aware Machine Translation Framework for Polite English-to-Tamil Conversion of Offensive Language with Cultural Sensitivity Consideration
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Hybrid ANN-LSTM with Attention: Predictive Analytics and Data Visualization for Solar Energy Systems
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Intelligent (LLM) Knowledge Management System with Asynchronous Technology and Text-to-Speech Using PHP Language
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HaloMed: Efficient Recursive Zero-Knowledge Proofs Using Pasta Curves for Privacy-Preserving Healthcare Data Verification
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Confidence-Aware BLSTM with CDLS for Crop Recommendation and Yield Prediction
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Benchmarking Federated Learning in Edge Computing Environments: A Systematic Review and Performance Evaluation
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Digital Representations in IoT: Cryptographic Tools for Improved Security
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Stock Market Prediction Using Machine and Deep Learning Models: Taxonomy and Comprehensive Analysis
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