The burgeoning challenges of waste management have propelled the integration of artificial
intelligence (AI) into waste management systems, aiming to enhance efficiency …

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 …

One of the most significant issues of our time is how stress affects depression and how
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …

In India, the impact of global weather variation has severely impacted the majority of
agricultural products. Farmer decision-making will be aided by this research, which will …

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 …

The morbidity of gestational diabetes mellitus (GDM) is increasing and is associated with
adverse perinatal outcomes and long-term maternal and infant health. The exact mechanism …

Solid waste management has become a significant concern in environmental issues. This
can be a problem, especially in cities where the population is quickly developing, and the …

Earthquake is one of the most devastating natural catastrophes, mainly because there is
rarely any advance notice and hence little opportunity to react. This makes the issue of …

Introduction Atmospheric pollution is a severe problem confronting the world today,
endangering not only natural ecosystem equilibrium but also human life and health. As a …