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

01Phase-adaptive Model Routing in LLM-driven SSH Honeypots: A Systematic Mapping Review

Raiymbek Magazov, Fatima Uralova, Kuanysh Abeshev, Bagdat Yagaliyeva, Zhuldyz Alimseitova, and Yernar Shamuratov

02Enhancing Edge AI Security in IoT with Zero Trust Principles Using Federated Learning and Blockchain-based Access Control

H L Chandrakala, C Emilin Shyni, G. Vennira Selvi, C. Gnanaprakasam, and Leelambika KV

03An Enhanced Artificial Intelligence Model for Alzheimer Disease Diagnosis

Sabah Sayed, Ashraf A. Mohamed, and Fatma A. Omara

04Deep Feature-based Image Retrieval via CNN and Autoencoder with Grey Wolf Optimized K-means Clustering

Ali Mohsin Ahmed Al-Sabaawi, Balqees Talal Hasan, Zaid J. Al-Araji, and Mohsin Hasan Hussein

05Privacy-preserving Federated Learning for Echocardiographic Ejection Fraction Stratification under Non-IID Clinical Distributions

Abhigna Jalli, Kodukula Subrahmanyam, and Pachipala Yellamma

06A-HRAB: Adaptive Hybrid Residual Attention for CNN-based Malware Family Classification

Omar Al-Harbi and Areej AlShorman

Featured Articles

01Testing the Limits: Evaluating AI Detectors’ Accuracy and the Impact of Obfuscation Techniques on AI-Generated Text

Alfira Makhmutova, Batyr Sharimbayev, Altynbek Amirzhanov, and Ardak Shalkarbay-uly

02PolyVision: Optimising Retinal Disease Detection Through Collaborative Neural Networks

Sultan Ahmad, Swathi Kalam, Eali Stephen Neal Joshua, Hikmat A. M. Abdeljaber, and Hessa Alfraihi

03A Lightweight Real-Time CCTV Surveillance Framework for the Education Sector Using Machine Learning

Hassan Ali, Abid Mehmood, Naeem Ahmed, Muhammad Saeed, and Ahmad Ijaz

04Unveiling the Potential of Transformer-Based Models for Efficient Time-Series Energy Forecasting

Imane Moustati and Noreddine Gherabi

05Optimizing Intrusion Detection: Advanced Feature Selection and Machine Learning Techniques Using the CSE-CIC-IDS2018 Dataset

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

06A Novel Deep Learning Model for Flood Detection from Synthetic Aperture Radar Images

Thanh-Nghi Doan and Duc-Ngoc Le-Thi

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Editor-in-Chief

Prof. Kin C. Yow

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