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

01Event-Driven Crowd Forecasting: Wi-Fi Sensing, Event Schedules, and Weather Data for Foot Traffic Prediction

Kurumi Muto*, Akihisa Kodate, Noboru Sonehara, and Nobuharu Hiruma

02Development of Avalanche Prediction Algorithms Based on a Set of Parameters

Natalya Denissova, Olga Petrova, Evgeny Fedkin, Gulzhan Daumova*, and Evgeny Sergazinov

03A Hybrid Ensemble Learning Approach for Cervical Cancer Detection: Combining Multiple CNN Models for Enhanced Diagnostic Accuracy

Aishwarya N. Kumar* and Meenakshi Sundaram A.

04Comparison of the Balanced Truncation and Balanced Stochastic Truncation Algorithms in Model Order Reduction for IIR Digital Filters

Quoc-Xuyen Hoang, Van-Cuong Pham, Viet-Anh Nguyen, Dinh-Chung Dang, and Hong-Quang Nguyen*

05Predicting Dengue Fever Outbreaks through Support Vector Machine: The Role of Climate Variables and Time-Lagged Data

Hetty Meileni, Ermatita*, Abdiansah, and Nyayu Latifah Husni

06Beyond Classical Approaches: Fine-Tuning Clinical BERT Model on Structured Data for Alzheimer’s Disease Diagnosis

Hager Saleh*, Michael McCann, John G. Breslin, Shaker El-Sappagh, and Alzheimer’s Disease Neuroimaging Initiative

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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