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

01Enhancing Precision: Leveraging Diverse Acquisition Functions in Dynamic Data Segmentation Using GPR-KNN Approach for Improved Nominal Current Forecasting

W. M. R. Jamaludin, W. M. Wan Mohamed, and N. H. Nik Ali

02An Adaptive Multi-Scale Feature Fusion Framework for Detecting Depression and Assessing Its Severity from Speech Signals

Raminder Kaur Nagra and Vikram Kulkarni*

03A Comprehensive Study on Deep Learning Techniques for IoT Security

Abdeslem Blali, Souhayla Dargaoui*, Mourade Azrour, Azidine Guezzaz, Abdulatif Alabdulatif, and Fatima Amounas

04Cloned Social Media Account Detection with Machine Learning

Madi Muthker Alsubie and Mohd Shahrizal Sunar*

05Sentiment Analysis with Deep Learning: Benchmarking CNNs vs. Prompt-Tuned BERT Models

Bo Huang and Fei Song*

06Experiential-Adaptative Hybrid Model for Hospitality Based on CNN Neural Networks, Case-Based Reasoning (CBR) and 360° VR

Samuel Quecara and Luis Alfaro*

Featured Articles

01Evaluating the Effectiveness of YOLO Models in Different Sized Object Detection and Feature-Based Classification of Small Objects

Luyl-Da Quach*, Khang Nguyen Quoc, Anh Nguyen Quynh, and Hoang Tran Ngoc

02A Novel Fuzzy-Based Thresholding Approach for Blood Vessel Segmentation from Fundus Image

Farha Fatina Wahid, Raju G., Shijo M. Joseph, Debabrata Swain, Om Prakash Das, and Biswaranjan Acharya*

03Chronic Kidney Disease Prediction Using Machine Learning

Chamandeep Kaur, M. Sunil Kumar, Afsana Anjum, M. B. Binda, Maheswara Reddy Mallu, and Mohammed Saleh Al Ansari*

04Efficient Brain Tumor Classification with a Hybrid CNN-SVM Approach in MRI

Shweta Suryawanshi* and Sanjay B. Patil

05Ovarian Tumors Detection and Classification from Ultrasound Images Based on YOLOv8

Thi-Loan Pham and Van-Hung Le*

06Hybrid Deep Learning Network Intrusion Detection System Based on Convolutional Neural Network and Bidirectional Long Short-Term Memory

Anindra Ageng Jihado* and Abba Suganda Girsang

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Editor-in-Chief

Prof. Kin C. Yow

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