In the recent past, a huge number of cameras have been placed in a variety of public and
private areas for the purposes of surveillance, the monitoring of abnormal human actions …

Providing, an on-demand facility in the cloud network is one of the finest services for cloud
users. To maintain this dynamic and foremost service, a cloud network must pose the best …

Speech is a unique characteristic of humans that expresses one's emotional viewpoint to
others. Speech emotion recognition (SER) identifies the speaker's emotion from the speech …

Anomaly detection from video surveillance inputs helps to improve security in crowded
places and outdoors. The captured image is analyzed to identify human faces, objects, and …

Wind turbine anomaly detection is an important but challenging work. Though deep learning
is promising in this filed, it may fail for large error distributions and often lacks interpretability …

Morphological features-based leaf identification algorithms provide highly accurate results.
But it is required a single-lined edge extraction algorithm for morphological feature …

The uncontrolled blood sugar levels in diabetes patients lead to an eye disease called
diabetic retinopathy. The high sugar levels in the blood vessels of the retina cause blockage …

At present, the transportation industry is developing rapidly. Studying intelligent highway
systems in the Internet of Things (IoT) context is of practical significance. This paper aims to …

The past decades witnessed an unprecedented urbanization and the proliferation of modern
information and communication technologies (ICT), which makes the concept of Smart City …

In this article, we survey the different data-driven techniques for smart anomaly detection at
the Internet of Things (IoT) edge. Anomaly detection is a significant study issue because of …