2 天前 - … Through this analysis, we aim to identify prevalent … , we apply machine learning
models to health records, clinical data, and imaging studies to explore the respiratory health …

3 天前 - … of machine learning, deep learning, NLP, and IoT … The literature review also reveals
the main subject of this study, … , integration, and growth in health care settings. It is crucial for …

3 天前 - … of cutting-edge IoT technologies like machine learning, deep learning, and fuzzy …
systematic literature reviews, with a stronger emphasis on the most recent developments in IoT …

4 天前 - … the model's robustness, highlighting its efficacy in remote patient care. This … deep
learning in remote patient monitoring (RPM) and related fields in this review of the literature. …

4 天前 - … The analysis is based on a pre-trained machine learning model … Medical errors in
health care are defined as … for medical IoT devices to manage the patient information system …

5 天前 - … categorization model based on machine learning. However… This study employs
principal component analysis (PCA) … fed into multiple Support Vector Machine (SVM) models …

7 天前 - … Furthermore, smart farming incorporates data analytics and machine learning
algorithms to evaluate the large volumes of data provided by Internet of Things (IoT) sensors. This …

8 天前 - … survey of the utilization of IoT in medical services … for isolated patients using machine
learning approaches to detect any … Inspired by the motivation of the literature survey, in this …

8 天前 - … This paper explores the use of AI-driven IoT systems for the early detection of
influenza … IoT devices to collect real-time health data from populations and machine learning …

9 天前 - … These systems are assessed for their effectiveness in … evaluation. Key methodologies
include field acoustics … , sonification, the Internet of Things (IoT), tiny machine learning, …