Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …

During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

Developing cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …

This study proposes a novel framework to improve intrusion detection system (IDS)
performance based on the data collected from the Internet of things (IoT) environments. The …

Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices,
applications, and communication networks are becoming increasingly connected and …

Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

The cloud provides infrastructure, applications, and storage services to users that need to be
protected by some policies or procedures. Hence, security in the cloud is to protect user data …

Cloud computing infrastructure is suitable for meeting computational needs of large task
sizes. Optimal scheduling of tasks in cloud computing environment has been proved to be …

Due to the plethora of data available today, text summarization has become very essential to
gain just the right amount of information from huge texts. We see long articles in news …

Secure vehicular communication is a critical factor for secure traffic management. Effective
security in intelligent transportation systems (ITS) requires effective and timely intrusion …