Recent years have seen an increase in the amount of focus placed on the study of
Alzheimer's disease (AD) categorization and prediction. Historically, one would handle such …

Living in a major metropolitan area has been linked to an increased risk of develo**
multiple forms of chronic-kidney-disease (CKD). In developed nations, predicting CKDs is a …

Financial textual, statistical, and graphical data have all seen increased interest in machine
learning and deep learning as analytical tools in recent years. Anticipating the trend of a …

The Industrial-Internet-of-Things (IIoT) is a product of the extensive use of the Internet-of-
Things (IoT) in vital industries including manufacturing and industrial production. To improve …

Diabetics have elevated blood glucose levels for a lengthy period of time, either due to
insufficient insulin synthesis or a lack of effective insulin response by the body's cells. Long …

Many are wary of storing and processing data in the cloud because of the prevalence of
hostile assaults on mobile and wireless communication networks, which raises serious …

Aims and Background: Increased traffic volume is a major challenge for effective network
management in the wake of the proliferation of mobile computing and the Internet of Things …

Cancer is the one of the most leading cause of deaths among people The lifetime chance of
acquiring this malignancy is one in eight for females. The prognosis for this condition greatly …

Agriculture is the study and practice of raising plants and animals for human consumption.
Approximately 60.45% of India's land is devoted to farming, making it the country's second …

Coronary Heart-disease (CHD) is one the foremost causes of death globally, making the
accurate recognition of it vital. Machine-learning (ML) and deep-learning (DL) are two of the …