Semi-supervised clustering-based dana algorithm for data gathering and disease detection in healthcare wireless sensor networks (wsn)
Wireless sensor networks (WSNs) have emerged as a promising technology in healthcare,
enabling continuous patient monitoring and early disease detection. This study introduces …
enabling continuous patient monitoring and early disease detection. This study introduces …
FL-XGBTC: federated learning inspired with XG-boost tuned classifier for YouTube spam content detection
The problem of spam content in YouTube comments is an ongoing issue, and detecting
such content is a critical task to maintain the quality of user experience on the platform. In …
such content is a critical task to maintain the quality of user experience on the platform. In …
Automated speed breaker system using IoVT generated data for Electric Vehicle using Machine Learning
The identification of speed breakers on roads is crucial for ensuring a safe and comfortable
driving experience for motorists. In this paper, we present an approach to identify speed …
driving experience for motorists. In this paper, we present an approach to identify speed …
Prediction of cardiovascular diseases using explainable AI
AS Deokar, MA Pradhan - Artificial Intelligence, Blockchain …, 2023 - taylorfrancis.com
Cardiovascular diseases (CVDs) are heart and blood vessel abnormalities. Immediately
following covid-19 Many people died as a result of a heart condition. The primary cause is …
following covid-19 Many people died as a result of a heart condition. The primary cause is …
[PDF][PDF] MACHINE LEARNING ASSISTED PNEUMONIA DETECTION
The creation of hardware and software with intelligence that mimics human behaviour is the
focus of the branch of computer science known as artificial intelligence (AI). Computers …
focus of the branch of computer science known as artificial intelligence (AI). Computers …