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 Multi-agent Framework for Autonomous Process Mining and Optimization

Abhishek Baidya and Sonali Sen Baidya*

02Flow-Guided Feature Alignment and Global Attention for Fine-Grained Scene Change Detection

Yong Yang, Li C. Chen, Yun P. Liao, Chang Yang, Peng Liu, Li W. Zhang, and Qin Bao

03Indo-ASR+: Enhancing Indonesian Automatic Speech Recognition by Fine-Tuning Wav2Vec2 with FAdam

Irfan Darmawan, Alam Rahmatulloh*, Rohmat Gunawan, R. Wahjoe Witjaksono, and Ghatan Fauzi Nugraha

04Exploring Multimodal Deep Learning: Comparing Pre-trained and Custom Models for COVID-19 Classification

Kazeem Oyebode, Ebenezer Esenogho*, and Modisane Cameron

05A Conflict-Reduced Task-to-Host Matching Scheme for Task Offloading in Edge Computing-Enabled IoT Network

Wang Dayong*, Kamalrulnizam Bin Abu Bakar, Babangida Isyaku, and Lei Liping

06Innovative Software Development and Project Management Framework for Technology Startups

Song-Kyoo Kim

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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