Breast cancer (BC) is closely linked with the maximum mortality rate for cancer detection
across the globe and has become a predominant public health issue. Earlier detection might …

Sepsis, a disease with an extremely high mortality rate in the Intensive Care Unit (ICU),
necessitates timely diagnosis and the administration of appropriate treatment. The physical …

This research endeavors by combining transfer learning techniques with Convolutional
Neural Networks (CNNs), this study aims to improve the categorization of breast cancer. The …

Recent developments in machine learning have produced new technologies that make it
simple to produce" deepfake" videos—videos with convincing face swaps and minimal …

The rise in blood glucose levels is the primary factor contributing to the development of
diabetes. Given the significance of preventing diabetes or delaying its onset, despite …

The importance of product ratings in determining the quality of products has increased
significantly in recent years, which is consistent with how e-commerce and online buying are …

Coastal areas around the world face a great threat from tropical cyclones, which makes
timely and accurate identification essential for efficient disaster response. An enhanced …

Parkinson's disease or paralysis agitans or shaking palsy is a nervous condition that limits
mobility. The condition may result in tremors, stiffness, or sluggishness of movement …

The severe potential of cyclones presents a serious risk to infrastructure, property, and
human life. For disaster planning and prevention strategies, early and accurate cyclone …

Automated textual data sentiment analysis is the main focus of sentiment analysis, a crucial
area within NLP. This abstract gives a succinct review of the state of sentiment analysis …