A fog-based IoT model can be helpful for patients from remote areas with cardiovascular
disease. An expert cardiologist is usually not available in such remote areas. There are …

The triumphant utilization of data mining in extremely evident areas like trade, commerce,
and e-business has directed to its application in another industry. The medical conditions …

Internet of things (IoT) enables the smart electrical grids (SEGs) to support a lot of tasks
throughout the generation, transmission, distribution and consumption of energy. Large …

Today's internets are made up of nearly half a million different networks. In any network
connection, identifying the attacks by their types is a difficult task as different attacks may …

Generally, for high-dimensional datasets, only some features are relevant, while others are
irrelevant or redundant. In the machine learning field, the use of a strategy for eliminating …

Executing customer analysis in a systemic way is one of the possible solutions for each
enterprise to understand the behavior of consumer patterns in an efficient and in-depth …

The use of text data with high dimensionality affects classifier performance. Therefore,
efficient feature selection (FS) is necessary to reduce dimensionality. In text classification …

Classification of gene expression data is a pivotal research area that plays a substantial role
in diagnosis and prediction of diseases. Generally, feature selection is one of the extensively …

Diagnosis of diseases at an early stage is a crucial task in the medical field. A hybrid
machine learning framework is presented for the diagnosis of breast cancer and diabetes …

Abstract The Intrusion Detection System (IDS) can be used broadly for securing the network.
Intrusion detection systems (IDS) are typically positioned laterally through former protecting …