The rapid evolution of the Internet of Things (IoT) facilitates the development of IoT
applications in domains such as manufacturing, smart cities, retail, agriculture, etc. Such IoT …

In the past decade, the deployment of deep learning (Artificial Intelligence (AI)) methods has
become pervasive across a spectrum of real-world applications, often in safety-critical …

Context-aware systems (CASs) have become increasingly prevalent in modern-day settings
such as digital home and smart healthcare, primarily owing to the expansion of the Internet …

The growing integration of the Internet of Things (IoT) in Industry 4.0 is primarily attributed to
its low cost and high adaptability. This article addresses the expansive application of IoT …

Real-time applications increasingly rely on context information to provide relevant and
dependable features. Context queries require large-scale retrieval, inferencing, aggregation …

We present context Cost and Quality computational engine 2.0 (conCQeng 2.0, in short); this
system addresses a significant drawback in Quality of Context (QoC) measurement models …

Smarter pervasive and ubiquitous applications are on the rise. They leverage contextual
information to make actions more relevant and dependable to the users and the Internet of …

Library professionals all over the world constantly encounter an ethical issue that affects the
dissemination of information. Academic libraries are faced with different ethical challenges …

Digital phenotyping applications use sensor data from personal digital devices (eg,
smartphones, smart bands) to quantify moment-to-moment human phenotype at the …

This paper presents Context Cost and Quality computational engine (ConCQeng), a system
to enhance situational awareness in context-aware pervasive computing applications …