Deep learning architectures have brought about new heights in computer vision, with the
most common approach being the Convolutional Neural Network (CNN). Through CNN …

Clinical text classification of electronic medical records is a challenging task. Existing
electronic records suffer from irrelevant text, misspellings, semantic ambiguity, and …

Poetry is a significant aspect of any language. Many cultures and the history of nations are
recognized in poems. Compared to prose, each poem has a rhythmic structure that is quite …

Music genre classification is significant to users and digital platforms. To enhance the
classification accuracy, this study proposes a hybrid model based on VMD-IWOA-XGBOOST …

Breast cancer is one of the leading causes of death among women worldwide. However,
early prediction of breast cancer plays a crucial role. Therefore, strong needs exist for …

Abstract Neural network-based Music Genre Classification is a key component in helping
users narrow down the selection of songs and listen to music in a certain genre. Audio …

Breast cancer continues to be a substantial worldwide health concern, affecting millions of
individuals each year; this emphasizes the critical nature of early detection in order to …

The categorization of music has received substantial interest in the management of large-
scale databases. However, the sound of music classification (MC) is poorly interesting …

Orchid flowers are one of the most popular ornamental plants, widely appreciated for their
unique features and aesthetic appeal, making them highly potential for sales in the global …

In the digital music era, effective classification of music genres is crucial for organizing vast
music databases. This study addresses the challenges of manual annotation by proposing …