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

01EfficientNet Deep Learning Model for Lung Cancer Early Diagnosis from Computed Tomography Scan Images with Transfer Learning

Noor Ayesha, Ibrahim Hayatu Hassan, Abeer Rashad Mirdad, and Amjad R. Khan*

02A Frilled Lizard Optimization Based Energy Efficient Clustering Algorithm for Internet of Things

Prasad Nagelli* and Ramana Nagavelli

03Retrieving Math Information Based on Equation Detection and Recognition within Digital Images

Angel Wheelwright and Yiu-Kai Ng*

04IoT Intrusion Detection System for Modbus Networks with Explainable AI

Fayez Alharbi

05ConvNeXt for Breast Cancer HER2 Scoring Using Different Types of Histopathological Stained Images

Lamiaa Abdel-Hamid

06A Comparative Study of Neural Network Adaptations for Spatial Data

Bo-yu Chen and Hao Zhang*

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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