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 Novel Advanced Performance Ensemble-Based Model (APEM) Framework: A Case Study on Diabetes Prediction

Arda Yunianta

02Efficient Mitosis Segmentation and Detection in Breast Cancer Histopathological Images Using YOLOv5 Model

Jithy Lijo* and Saleema J. S.

03Machine Learning to Detect Fungal Infections in Stored Pome Fruits via Mass Spectrometry Data: Industry, Economic, and Social Implications

Razia Sulthana Abdul Kareem*, Nageena K. Frost, Charles A. I. Goodall, Timothy Tilford, and Ana Paula Palacios

04Optimizing Deep Learning Efficiency through Algorithm-Hardware Co-design

Joseph T. Santoso*, Mars C. Wibowo, and Budi Raharjo

05LLM4QA: 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

06A Nature Inspired Optimization for Retinal Lesion Detection

Kanchan S. Gorde* and Ajay A. Gurjar

Featured Articles

01Performance of Machine Learning Techniques in Anomaly Detection with Basic Feature Selection Strategy - A Network Intrusion Detection System

Md. Badiuzzaman Pranto, Md. Hasibul Alam Ratul, Md. Mahidur Rahman, Ishrat Jahan Diya, and Zunayeed-Bin Zahir

02An Optimized Neural Network Using Genetic Algorithm for Cardiovascular Disease Prediction

Jan Carlo T. Arroyo and Allemar Jhone P. Delima

03Effect of Features Extraction Techniques on Cyberstalking Detection Using Machine Learning Framework

Arvind Kumar Gautam and Abhishek Bansal

04Government Construction Project Budget Prediction Using Machine Learning

Wuttipong Kusonkhum, Korb Srinavin, Narong Leungbootnak, Preenithi Aksorn, and Tanayut Chaitongrat

05Multi-view Deep CNN for Automated Target Recognition and Classification of Synthetic Aperture Radar Image

Sudeshna Chakraborty, Amrita, Tanupriya Choudhury, Roohi Sille, Chiranjit Dutta, and Bhupesh Kumar Dewangan

06Multimodal Wearable Sensing for Sport-Related Activity Recognition Using Deep Learning Networks

Sakorn Mekruksavanich and Anuchit Jitpattanakul

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Editor-in-Chief

Prof. Kin C. Yow

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