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

01AI-Based Detection of Legal Violation for Shared Electric Scooters

Sung Hyun Oh, Seung Hyun Lee, and Jeong Gon Kim*

02Determining Intent: Sentiment Analysis Based on the Classification of Indonesian Tourist Destination Review Texts

Abulwafa Muhammad*, Sarjon Defit, and Gunadi Widi Nurcahyo

03Exploring Non-Euclidean Approaches: A Comprehensive Survey on Graph-Based Techniques for EEG Signal Analysis

Harish C. Bhandari, Yagya R. Pandeya, Kanhaiya Jha, Sudan Jha, and Sultan Ahmad*

04Smart Technologies for Whole Life Asset Management

Chee Kit Ho*, Yee Loon Sum, and King Jet Tseng

05Effective Approaches for Intrusion Detection Systems in the Face of Low-Frequency Attacks

Chadia El Asry*, Ibtissam Benchaji, Samira Douzi, and Bouabid El Ouahidi

06Improvement of Packet Delivery Ratio in MANET Using ADLR: A Modified Regularization-Based Lasso Regression

Sayan Majumder*, Debika Bhattacharyya, and Subhalaxmi Chakraborty

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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