Anomaly detection, a critical aspect of data analysis and cybersecurity, aims to identify
unusual patterns that deviate from the expected norm. In this study, we propose a hybrid …

Microgrids (MGs) have become a reliable power source for supplying energy to rural areas
in a secure, consistent, and low-carbon emission manner. Power quality disturbance (PQD) …

Hadoop is a big data processing system that enables the distributed processing of massive
data sets across multiple computers using straightforward programming techniques. Hadoop …

Web browsers have become an integral part of our daily lives, granting us access to vast
information and services. However, this convenience significantly risks personal information …

Abstract Big Data Analytics (BDA) is an unavoidable technique in today's digital world for
dealing with massive amounts of digital data generated by online and internet sources. It is …

Abstract Machine learning techniques commonly used for intrusion detection systems (IDSs
face challenges due to inappropriate features and class imbalance. A novel IDS comprises …

For large data, data mining methods were used on a Hadoop-based distributed
infrastructure, using map reduction paradigm approaches for rapid data processing. Though …

Technology development brought numerous lifestyle changes. People move around with
smart gadgets and devices in the home, work environment, and familiar places. The Internet …

The ability to learn and to comprehend is fundamental to a human being. In this article,
authors intend to develop a system to enhance the cognitive skills specifically of …

Rainfall forecasting is essential because heavy and irregular rainfall creates many impacts
like destruction of crops and farms. Here, the occurrence of rainfall is highly related to …