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

01GPU-accelerated Fine-grained Multi-class Intrusion Detection for IoMT Networks: A 51-Class Benchmark with Latency-aware Evaluation

Ali Haider*, Omar Bin Samin, Ammar Bathich, Haleem Farman, and Sohaib Bin Altaf Khattak

02Advanced Blood Cell Analysis for Cancer Detection Using Deep Learning

Sanjit Kumar Dash, Dibya Ranjan Sahoo, Likuna Pradhan, Mohammed Altaf Ahmed*, Qutubuddin Mohammed, and Sultan Alqahtani

03Automatic Recognition of Speech Sounds Using Convolutional Neural Networks

Yasir Hashim, Mahmood Yashar, Hussein M. Ali, Abdulbari Yousif, Mohd Abdul Rahim Khan, and Tarik A. Rashid

04A Systematic Review of Facial Data Augmentation for Deepfake Detection

Naveed Ur Rehman Ahmed, Afzal Badshah, Ayesha Tajammul, Omar Alghushairy, Riad Alharbey, and Ali Daud*

05SecureEdge-IoT: An Intelligent Adaptive Cryptographic Model for Zero-trust Data Confidentiality in Resource-constrained Edge Computing Networks

Deepthi Kamidi* and Pvrd Prasada Rao

06Sentiment Classification on IMDb Movie Reviews: A Controlled Comparative Study of Classical, Deep-learning, Feature-fusion, and Fine-tuned Transformer Models

Santosh Kumar Banbhrani, Wang Shaojie, Liu Baiyang, Chen Wei, Pir Dino Soomro, Ali Raza Rang, Dhani Bux Talpu, and Asad Ullah Shah

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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