The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on deep learning — covering neural network architectures such as CNNs, RNNs, and transformers, and their applications across computer science domains.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Arabic calligraphy is famous for its distinct artistic style. It is written by skilled calligraphers to highlight the beauty of Arabic letters and represent its rich artistry. Due to the complexity of Arabic text compare…
Large Language Models (LLMs) have revolutionized natural language processing (NLP); however, their effectiveness remains limited for low-resource languages and dialects due to data scarcity. One such underrepresented var…
Financial forecasting is a crucial factor for decision-making in numerous fields, it demands very accurate predictive models. Traditional methods, like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)…
The field of landscape architecture is constantly evolving to address sustainability and climate change. There is a rising chance to use these technology into landscape design as renewable energy sources become more prev…
Small object detection has many applications, including maritime surveillance, underwater computer vision, agriculture, traffic flow analysis, drone surveying, etc. Object detection has made notable improvements in recen…
Floods are among the most frequent and devastating natural disasters, significantly impacting infrastructure, ecosystems, and human communities. Accurate satellite-based flood image classification is crucial for assessin…
The study of sports movement analysis technologies based on video has significant practical applications. Digital video footage, human-computer communication, as well as additional technologies can greatly improve the ef…
Air pollution poses significant threats to human health and the environment, making effective monitoring increasingly essential. Traditional methods using fixed monitoring stations have challenges related to high costs a…
The high prevalence of cellphones and social networking platforms such as Snapchat are obviously dissolving traditional barriers between information providers and end-users. It is certainly relevant in emergency events,…
During the COVID-19 pandemic, the precise evaluation of lung impairments using computed tomography (CT) scans became critical for understanding and managing the disease; however, specialists faced a high workload and the…
