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

01A Real-Time Deep Neural Network-Based System’s Ability to Identify and Classify Active Assaults on Networks

Karthikeyan Kaliyaperumal, Raja Sarath Kumar Boddu, and Sai Kiran Oruganti

02Smart Firewall for Phishing Detection Powered by Bio-Inspired Algorithms

Mosleh M. Abualhaj*, Sumaya N. Al-Khatib, Ahmad A. Abu-Shareha, Abdallah Hyassat, and Mohammad Sh. Daoud

03EC-EBMs: Skin Lesion Classification with EBMs

Quyen Van Vo, An Cong Tran, and Hiep Xuan Huynh*

04Advancing Sentiment Analysis for Colloquial Arabic: A Comparison of Machine Learning and Lexicon-Based Approaches for the Palestinian Dialect

Khalid Rabaya, Ahmad Hasasneh*, and Khalil Rantisi

05Enhanced Urban Infrastructure Management: IoT-Based Smart Manhole Monitoring System

Saniya Ansari*, Kanchan Vaidya, Ankush Kadu, Deshinta Arrova Dewi, Farook Sayyad, Shabnam Sayyad, and Vijayakumar Varadarajan

06A Multi-agent Framework for Autonomous Process Mining and Optimization

Abhishek Baidya and Sonali Sen Baidya*

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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General Information

Editor-in-Chief

Prof. Kin C. Yow

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