JAIT-Journal of Advances in Information Technology

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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

01Considering Cluster Validity in Attribute Extension for Small Data Set Predictions

Luu-Ly Tran, Chih-Chieh Chang*, and Hsiang-An Yu

02AI-Powered Detection of Advanced Persistent Threats (APTs): A Decision Tree Model for Intrusion Detection Using MITRE ATT&CK Behavioral Analysis

Asem Daoud* and Mohamed Hamdi

03A Stacking Ensemble Approach Integrating XGBoost and Deep Neural Networks with SMOTE for Financial Fraud Detection

Noor Amer Ahmed* and Fadi Al-Turjman

04Region-Aware Attention with Hybrid Angular-Cosine Margin Loss for Prosopagnosia Face Recognition

Bhavana Nagaraj* and Rajanna Muniswamy

05AgroExpense-OCR: Vision Transformer-Based Optical Character Recognition for Agricultural Receipt Digitization

Wongpanya S. Nuankaew, Chanapa Phikhason, Watthana Kayowaen, Tatsaneewan Yenwattana, and Pratya Nuankaew*

06A Comparative Analysis of Hypertension Risk Detection Using Machine Learning and Deep Learning Techniques

Areen Arabiat*, Hamza Abu Owida, and Muneera Altayeb

Featured Articles

01LLM4QA: 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

02It Takes a Village: Youth Online Safety Research Highlights Need for Interdisciplinary, Multistakeholder Solutions

Elizabeth A. Sweigart*, Jinkyung Katie Park, and Pamela J. Wisniewski

03Unveiling the Potential of Transformer-Based Models for Efficient Time-Series Energy Forecasting

Imane Moustati* and Noreddine Gherabi

04Optimizing Intrusion Detection: Advanced Feature Selection and Machine Learning Techniques Using the CSE-CIC-IDS2018 Dataset

Qusay M. Alzubi*, Sharif Naser Makhadmeh, and Yousef Sanjalawe

05A Novel Deep Learning Model for Flood Detection from Synthetic Aperture Radar Images

Thanh-Nghi Doan* and Duc-Ngoc Le-Thi

06AI 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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Editor-in-Chief

Prof. Kin C. Yow

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