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

01Privacy-Preserving Federated Learning in Oil Palm Industry for Fresh Fruit Bunch Ripeness Grading

Patchanee Laddawong, Yutthapong Pianroj, Piyanart Chotikawanid, Teerasak Punvichai, Saysunee Jumrat, and Jirapond Muangprathub*

02Real-Time Artificial Intelligence (AI) and Augmented Reality (AR)-Driven Virtual Saree Dressing: Mirroring Reality in Fashion Technology

Venkatesh Chennam Vijay*, Keerthivasan R. S., Guolong Zhong, Prem Kumar, and Man Zhao

03SDN-Driven Innovations in MANETs and IoT: A Path to Smarter Networks

Andrea Piroddi* and Riccardo Fonti

04Robust Approach to Improve Link Prediction Accuracy in Directed Social Networks Based on Ensemble Learning Models and Advanced Feature Extraction Techniques

Mohamed Badiy, Fatima Amounas, Mourade Azrour, Abdullah M. Alnajim*, Abdulatif Alabdulatif, Sheroz Khan, and Salma Bendaoud

05Enhanced Kidney Stone Detection through Hybrid Crow-Cuckoo Search Optimized Convolutional Deep Belief Network Model

G. Ramesh Babu*, N. Pushpalatha, Ganesh Khekare, Krishnamoorthy, Yousef A. Baker El-Ebiary, and S. Anjali Devi

06Application of Artificial Intelligence in Digital Breeding Industry Using Plant Genotype and Phenotype Data

Najeong Chae, Sung-Woo Byun*, Jiho Choi, Taehoon Lim, Ji Hoon Lim, Hye In Lee, and Hwa Seon Shin

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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