Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

Collaborative sensing leverages the cooperation of a collection of sensors to complete a
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …

Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …

Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

With the advent of new technologies and the fast pace of human life, patients today require a
sophisticated and advanced smart healthcare framework that is tailored to suit their …

Capturing psychological, emotional, and physiological states, especially during a pandemic,
and leveraging the captured sensory data within the pandemic management ecosystem is …

Due to various challenging issues such as, computational complexity and more delay in
cloud computing, edge computing has overtaken the conventional process by efficiently and …

Both the edge and the cloud can provide computing services for mobile devices to enhance
their performance. The edge can reduce the conveying delay by providing local computing …

Objective: This paper is to analyze the performance of the control system of collaborative
robots based on cognitive computing technology. Methods: This study combines cognitive …