The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

With the rise in Internet of Things (IoT) technology in recent years the amount of resource
requirement of various IoT applications substantially increases. The data generated by …

Abstract Crop Recommendation Systems are invaluable tools for farmers, assisting them in
making informed decisions about crop selection to optimize yields. These systems leverage …

Agriculture faces a significant challenge in predicting crop yields, a critical aspect of decision-
making at international, regional, and local levels. Crop yield prediction utilizes soil, climatic …

In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

The COVID-19 pandemic has had a significant impact on human migration worldwide,
affecting transportation patterns in cities. Many cities have issued" stay-at-home" orders …

In recent years, the increasing prevalence of credit card usage has raised concerns about
accurately predicting and managing credit card defaults. While machine learning and deep …

A significant issue in the field of illness diagnostics is the early detection and diagnosis of
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …

Prostate cancer, the most common cancer in men, is influenced by age, family history,
genetics, and lifestyle factors. Early detection of prostate cancer using screening methods …

The prevalence of heart disease has remained a major cause of mortalities across the world
and has been challenging for healthcare providers to detect early symptoms of cardiac …