… Efficient scheduling and load balancing of IoT applications is … paper, a cognitive or intelligent
model of bio-inspired approach is used to find the optimal solution of task scheduling for IoT …

… The emergence of deep learning techniques has revolutionized the field of artificial intelligence.
Deep learning means, an increase in the number of layers, and as a consequence, the …

… a model supporting intelligent teaching assisting … intelligent system, proposing an end-to-end
solution with a stack technology integrating the Internet of things and artificial intelligence. …

… deployment of artificial intelligence Internet of Things technology … convergence of artificial
intelligence and Internet of Things from … platforms for artificial intelligence Internet of Things; (2) …

… • Integration of technologies: We present a prototype implementation comprised of a number
of IoT related and cognitive technologies realized as a Java application integrated with …

… , high-definition, and the internet of things (IoT), the capacity demand of … artificial intelligence
(AI) techniques pose new opportunities for resolving these issues and machine learning …

… and complexity of the underlying networks and IoT infrastructure, so as to enhance context/…
of IoT applications. This article presents a cognitive management framework for the IoT …

… ing interest in using machine learning techniques to enhance … Cognitive Internet of Things
(CIoT) are presented. Finally, the key challenges and future directions of intelligent cognitive …

… networks, cognitive computing capabilities with Artificial intelligence (AI), with the support
of multi-tier machine learning, deep learning, and other types of data science advancements. …

… Caption-generation is a very inspiring Cognitive Internet of things (CIoT) and artificial
intelligence (AI) task where the description of text must be originated from a given image. It requires …