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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

01Text-Independent Speaker Identification Using Arabic Phonemes
Samiha R. Alarjani*, Imran Rao, Iram Fatima, and Hafiz Farooq Ahmad
02Co-occurrence and Ontology Reinforcement Learning: CoO-RL in Food Recommendations
Nataporn Thammabunwarit*, Amornvit Vatcharaphrueksadee, Puttakul Puttawattanakul, and Maleerat Maliyaem
03Rice Farmer Registry Application and Management System Using Classification and Regression Trees Algorithm
Belen M. Tapado
04A Bioinspired Visual Object Edge Detection for Autonomous Grasping
Hamid Isakhani* and Samia Nefti-Meziani
05Optimizing Intrusion Detection: Advanced Feature Selection and Machine Learning Techniques Using the CSE-CIC-IDS2018 Dataset
Qusay M. Alzubi*, Sharif Naser Makhadmeh, and Yousef Sanjalawe
06Multi-GW Simulation for LoRa LPWANs
Alaa Amar*, Tallal Elshabrawy, and Minar El-Aasser

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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The journal publishes full research papers. So only full paper submission should be considered for possible publication. Papers with insufficient content may be rejected directly in preview process. 

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