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

01Hybrid Table Formats for Lakehouse Systems: A Functional Benchmark of Iceberg, Hudi, and Delta

Srinivas Lakkireddy

02Hybrid Deep Learning Approach with Attention Mechanism for Predicting Student Success in Higher Education Institutions

M. Nazir, A. Noraziah, Abdullah Alsaleh, and M. Rahmah

03FSTS Fog-Based Smart Transportation System a Novel Approach: Navigating towards Future of Urban Mobility

Deepa Arora and Oshin Sharma*

04LSGELU: Improved Gaussian Error Linear Units for Enhanced Performance in Simple and Complex Neural Networks

Suwichai Phunsa and Thawatchai Chomsiri*

05Dual Metric Learning for Few-Shot Weakly-Supervised Optic Disc and Cup Segmentation on Fundus Images

Pandega Abyan Zumarsyah, Igi Ardiyanto, Kazuhiko Hamamoto, and Hanung Adi Nugroho*

06Self-Supervised Semantic Learning for Trustworthy Anomaly Detection in 6G-Enabled Smart Grid Communication

S. Arockia Babi Reebha*, P. C. Karthik, J. Umamageswaran, and J. Shobana

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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