The internet of things (ransomware refers to a type of malware) is the concept of connecting
devices and objects of all types on the internet. IoT cybersecurity is the task of protecting …

Abstract The Internet of Things (IoT) is made up of billions of interconnected devices that can
transmit and receive data over the Internet. IoT devices have many vulnerabilities that …

Clustering is still one of the most common unsupervised learning techniques in data mining
since it allows the discovery of meaningful and interesting patterns, knowledge, rules and …

Data clustering is the task of separating data samples into a set of clusters. K-means is a
popular partitional clustering algorithm. However, it has a lot of weaknesses, including …

The on-demand provision of computing resources as services over the internet is known as
cloud computing. The distributed denial of service (DDoS) attack is a major security risk that …

Heart disease (HD) is often regarded most complex and life-threatening human infection.
Recently, the extreme learning machine (ELM) method is used to handle a variety of health …

In the era of big data, the number of science and technology service resources has
proliferated, and the integration and clustering of science and technology documents …

A huge number of text documents are divided into a limited number of groups using the
unsupervised learning technique known as text clustering. While the clusters contain …

Due to the increased size of data, there is a need for retrieving the right document for the
user efficiently, which finds various applications in the research community. In this work, we …

Currently, the computational disease diagnostic models are mainly for approximating the
non-linear complex sensitive patterns in the medical data. For the most accurate diagnostic …