The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on computer vision — including object detection, image classification, face recognition, and image segmentation techniques and applications.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
To address the challenges of dense object distribution, scale variability, and complex shapes in remote sensing images, this paper proposes an improved YOLOv7-b model to enhance multi-scale target detection accuracy and…
Automated grafting is an important means for modern agriculture to improve production efficiency and graft seedling quality, among which the use of visual systems to quickly segment target rootstock seedlings is the key…
Object recognition in urban and residential settings has become more vital for urban planning, real estate evaluation, and geographic mapping applications. This study presents an innovative methodology for house detectio…
The monkeypox epidemic has spread to nearly every nation. Governments implement several strict policies, to stop the virus that causes monkeypox. For effective handling and treatment, early identification and diagnosis o…
Gas-tightness experiment is an effective means to detect leakage of stainless steel welded pipe, and the vision-based bubble recognition algorithm can effectively improve the efficiency of gas-tightness detection. This s…
This paper presents a deep learning methodology for a marked object-following system that incorporates the YOLOv8 (You Only Look Once version 8) object identification model and an inversely proportional distance estimati…
Art serves as a profound medium for humans to express and present their thoughts, emotions, and experiences in aesthetically and captivating means. It is like a universal language transcending the limitations of language…
Coastal monitoring is vital in environmental management, disaster mitigation, and addressing climate change impacts. Traditional methods are time-consuming and error-prone, prompting the need for innovative systems. This…
Deep learning techniques are becoming increasingly important in the field of facial expression recognition, especially for automatically extracting complex features and capturing spatial layers in images. However, previo…
Face attribute estimation has several applications in computer vision, biometric systems, face verification /identification and image retrieval. The performance of face attribute estimation has been improved by using mac…
