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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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AI/ML in Healthcare Research — IJACSA

IJACSA research on disease prediction and diagnosis using machine learning and AI — covering heart, liver, kidney, respiratory, skin, and infectious disease prediction models.

Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026

Improving the Emergency Services for Accident Care in Saudi Arabia

Vol. 7, Issue 9 (2016) · 3 citations

The road safety is one of the serious challenges faced by most of the governments due to the involvement of various issues. Being perfect in driving is not enough on the roads but tackling the mistakes of other persons i…

The Role of Image Enhancement in Citrus Canker Disease Detection

Vol. 7, Issue 9 (2016) · 10 citations

Digital image processing is employed in numerous areas of biology to identify and analyse problems. This approach aims to use image processing techniques for citrus canker disease detection through leaf inspection. Citru…

Internet of Things based Expert System for Smart Agriculture

Vol. 7, Issue 9 (2016) · 105 citations

Agriculture sector is evolving with the advent of the information and communication technology. Efforts are being made to enhance the productivity and reduce losses by using the state of the art technology and equipment.…

Medical Image Inpainting with RBF Interpolation Technique

Vol. 7, Issue 8 (2016) · 18 citations

Inpainting is a method for repairing damaged images or to remove unwanted parts of an image. While this process has been performed by professional artists in the past, today, the use of this technology is emerging in the…

Towards Securing Medical Documents from Insider Attacks

Vol. 7, Issue 8 (2016)

Medical organizations have sensitive health related documents. Unauthorized access attempts for these should not only be prevented but also detected in order to ensure correct treatment of the patients and to capture the…