Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle ...
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
Abstract: An entry of manual journal input classification and accounting error detection, with the challenge of time, is prone to human error and inefficiency, while ...
Abstract: Encrypted traffic classification is crucial for enhancing network management, service quality, and security. However, real-world network environments are inherently open-world scenarios in ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
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