Abstract Internet of Things (IoT) frameworks generates data for large and remote agricultural
areas through sensors and use this data for crop predictions by several machine learning …

Data mining and quantum computing have become potent methods for analyzing massive
datasets and gaining insightful conclusions. However, conventional techniques for data …

This method of identifying plant leaf disease generally involves a large team of experts with
extensive knowledge of plant diseases, and it can be expensive, time-consuming, and …

INTRODUCTION: Life expectancy has steadily increased in the majority of countries over the
last few decades as a result of vast improvements in medical care, public health initiatives …

One of the most generic skincare products used by the majority of the masses is soap, which
is availablein a variety of colors, shapes and fragrances. People generally tend to purchase …

Cancerous cells can develop in the lungs, a condition known as lung carcinoma. One of the
most deadly and challenging malignancies to cure, lung cancer often spreads to other parts …

The Biggest demanding situations for the attention professional is the identification and
prognosis of the eye diseases from the given retinal pictures. The process of figuring out the …

Driver monitoring systems have been improved over time as artificial intelligence and
computer technology have advanced. Several experimental studies have collected real …

Ad hoc networks of quantum-enabled IoT devices require efficient resource allocation
techniques to optimize energy consumption and data transmission rates. This paper …

Artificial intelligence has transformed lung ultrasound analysis in medical imaging,
enhancing both accuracy and efficiency. However, this technological evolution introduces a …