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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 Study on Task Offloading and Service Caching Integration in Edge-Cloud Collaborative Systems
Yuhua Li* and Yancong Deng
02Leveraging Quantum Computing for Context-Aware Restaurant Recommendations
Venugopal Boppana and Sandhya Prasad*
03A YOLOv10-Based System for Automated FPT University Student Card Information Extraction
Toan Quy Nguyen*, Tuan Minh Le, Linh Van Nguyen, Phuc Hoang Minh Lai, Khang Vo Hoang Nguyen, Thuan Van Tran, and Thu Vo Minh Le
04Applying the Yule-Simon Process to Ranking Network Accesses
Naoshi Sakamoto
05Signal Error Analysis Approach Implicated Supervised Neural Networks
Farhan Ali*, He Yigang*, Cheng Wei Ding, Atta-ur-Rahman*, Aghiad Bakry, Dania Alkhulaifi, and Mohammad Ahmad Saleem Khasawneh
06A Lightweight Binarized Convolutional Block Attention Module: B-CBAM
Shaoqing Wu* and Hiroyuki Yamauchi*

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*
03An Approach for Person Detection along with Object Using Machine Learning
Srikanth Bethu *, M. Neelakantappa, A. Swami Goud, B. Hari Krishna, and P. N. V. Syamala Rao M
04Ovarian Tumors Detection and Classification from Ultrasound Images Based on YOLOv8
Thi-Loan Pham and Van-Hung Le*
05Hybrid Deep Learning Network Intrusion Detection System Based on Convolutional Neural Network and Bidirectional Long Short-Term Memory
Anindra Ageng Jihado* and Abba Suganda Girsang
06Enhancing Text Sentiment Classification with Hybrid CNN-BiLSTM Model on WhatsApp Group
Susandri Susandri*, Sarjon Defit, and Muhammad Tajuddin

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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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