Abstract: Recently, Machine Learning (ML) has become an essential methodology for medical science. Deoxyribonucleic Acid (DNA) carries all the genetic information of every individual. The extraction ...
Abstract: Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach ...
Abstract: As AI technology evolves, seeing is not believing. The boundary between human and machine creativity is increasingly blurred, presenting challenges for the art industry. This is more ...
Abstract: A person who is addicted to alcohol is most likely to have problems related to health and brain function, such as in doing cognitive tasks. Thus, detecting the alcoholic condition is ...
Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
Abstract: Identifying skin lesions accurately is necessary for immediate diagnosis of skin cancer, particularly melanoma, which can significantly reduce mortality rates. However, automating the ...
Abstract: Emotion Recognition is a gravitating concept in Speech Data Analysis due to its adaptability in identifying human emotion. Emotion is an inherent human trait exhibited through attitude, ...
The latest trends in software development from the Computer Weekly Application Developer Network. Yes, data loss prevention tools i.e. cybersecurity services built to detect, monitors and protects ...
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