In modern‐day medicine, medical imaging has undergone immense advancements and can
capture several biomedical images from patients. In the wake of this, to assist medical …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Data security and resource allocation are two important terms associated with the Internet of
Things (IoT). This recent technical evolution has made its mark in industrial applications …

This work presents SafeFac, an intelligent camera-based system for managing the safety of
factory environments. In SafeFac a set of cameras installed on the assembly line are used to …

Paying landowners for conservation results rather than paying for the measures intended to
provide such results is a promising approach to biodiversity conservation. However, key …

Software-Defined Networking (SDN) has attracted great attention from both academia and
industry. However, the deployment of SDN has faced some critical security issues, such as …

Intrusion detection is a critical issue in the wireless sensor networks (WSNs), specifically for
security applications. In literature, many classification algorithms have been applied to …

Deep Learning is the subset of artificial intelligence and various techniques are available to
predict the performance of real time applications. Wireless devices are available to access …

The potential of Internet of Things and wireless sensor networks technologies can be used
to build a picture of a future intelligent surveillance system. Because of the small size of the …

Color image quantization has become an important operation often used in tasks of color
image processing. There is a need for quantization methods that are fast and at the same …