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

01Evaluating the Effectiveness of YOLO Models in Different Sized Object Detection and Feature-Based Classification of Small Objects

Luyl-Da Quach*, Khang Nguyen Quoc, Anh Nguyen Quynh, and Hoang Tran Ngoc

02A Novel Fuzzy-Based Thresholding Approach for Blood Vessel Segmentation from Fundus Image

Farha Fatina Wahid, Raju G., Shijo M. Joseph, Debabrata Swain, Om Prakash Das, and Biswaranjan Acharya*

03Chronic Kidney Disease Prediction Using Machine Learning

Chamandeep Kaur, M. Sunil Kumar, Afsana Anjum, M. B. Binda, Maheswara Reddy Mallu, and Mohammed Saleh Al Ansari*

04Efficient Brain Tumor Classification with a Hybrid CNN-SVM Approach in MRI

Shweta Suryawanshi* and Sanjay B. Patil

05Ovarian Tumors Detection and Classification from Ultrasound Images Based on YOLOv8

Thi-Loan Pham and Van-Hung Le*

06Hybrid Deep Learning Network Intrusion Detection System Based on Convolutional Neural Network and Bidirectional Long Short-Term Memory

Anindra Ageng Jihado* and Abba Suganda Girsang

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Editor-in-Chief

Prof. Kin C. Yow

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