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

01Multi-modal Biometric Authentication Based on Deep Adversarial Learning Utilizing ECG and Fingerprint Modality

Abdullah Alduhailan*, Nazhatul Hafizah Kamarudin, Siti Norul Huda Sheikh Abdullah, and Aminu Dau

02Evaluating Machine Learning Models for DDoS Detection in SDNs

Özgür Tonkal and Jeremia Anthony Mgungile*

03Graph Neural Network Based Personalized Recommendation with Edge Enrichment Using Ratings and Review Sentiments

Anu Mathews* and Sheba Selvam

04Explainable Hybrid Modeling of Stock Market Turning Points: An Integrated ARIMA-LSTM-SHAP Approach

Tsolmon Sodnomdavaa

05Optimization of Task Offloading and Resource Allocation in the Internet of Everything: A Comprehensive Survey

Dayong Wang*, Liping Lei, Zhen Wang, and Cui Cui

06DeepARTS: A Graph-Transformer Continual Learning Framework for Adaptive Regression Test Sequence Recommendation

Srinivasa Rao Kongarana*, Ananda Rao Akepogu, and Radhika Raju Palagiri

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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