The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient
monitoring (RPM) is one of the common healthcare applications that assist doctors to …

Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in
each domain is driven by a growing body of annotated data, increased computational …

Global and regional food security heavily relies on effective yield estimation results. Thus
precise and on-time rice yield estimate or prediction is a pivotal factor not only to ensure …

As with economic growth and urbanization, there is a significant impact on energy
consumption in residential and commercial buildings. Analyzing the energy consumption of …

Rise of predictive techniques have changed the manner we deal with disease diagnosis in
healthcare domain. Earlier detail analysis of patient data records was done for disease …

Most people are unable to identify their actual illness, and many patients die before they are
hospitalized. Therefore, in this research, a health monitoring system (HMS) is proposed and …

Background The rapid integration of artificial intelligence (AI) into healthcare has raised
concerns among healthcare professionals about the potential displacement of human …

In this paper, we discuss the usage of smart and machine learning based model to aid
children with autism. Children with autism require constant care because you never know …

Biomarkers obtained from a person's voice may provide interpretations into brain-related
risks like Parkinson's disease due to their cognitive aspects. This audit portrays as of late …

Electrocardiogram (ECG) is generally used to detect cardiac risks due to its lucidity and non-
invasiveness. During the past decades, several studies have helped to create an automatic …