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 Deep Learning Model for Flood Detection from Synthetic Aperture Radar Images

Thanh-Nghi Doan* and Duc-Ngoc Le-Thi

02An Efficacious Detecting Tomato Leaf Disease Using RCOA-Based RNN Method

T. George Princess* and E. Poovammal

03An Improved Pix2pix Generative Adversarial Network Model to Enhance Thyroid Nodule Segmentation

Huda F. AL-Shahad, Razali Yaakob*, Nurfadhlina Mohd Sharef, Hazlina Hamdan, and Hasyma Abu Hassan

04Enhanced Negation Detection in Arabic Reviews Using Supervised Classification Approach

Ahmed S. Abuhammad* and Mahmoud A. Ahmed

05Initial Coin Offerings Success Prediction Using Social Media and Large Language Models

Khouloud Safi Eljil*, Essia Hamouda, and Farid Nait-Abdesselam

06Deep Neural Networks for Skin Cancer Classification: Analysis of Melanoma Cancer Data

Stephen Afrifa, Vijayakumar Varadarajan, Peter Appiahene, Tao Zhang, Daniel Gyamfi, and Rose-Mary Owusuaa Mensah Gyening

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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