Abstract Integrating AI and Machine Learning in Cloud Services is paramount for boosting IoT innovation and enhancing data processing capabilities with edge-to-cloud intelligence …
This paper explores the convergence of IoT (Internet of Things) technologies with AI (Artificial Intelligence) and edge-to-cloud computing paradigms, highlighting their collective …
As the world grapples with the challenges posed by the sheer volume of data and the limitations of traditional cloud computing, we shine a spotlight on Edge Computing as a …
S Kanungo - International Peer-Reviewed Journal, 2019 - irejournals.com
The rapid growth of the Internet of Things (IoT) has exponentially increased the number of connected devices that generate large amounts of data. Leveraging advanced technologies …
This book presents the technologies that empower edge intelligence, along with their use in novel IoT solutions. Specifically, it presents how 5G/6G, Edge AI, and Blockchain solutions …
In the dynamic landscape of cloud computing, efficient resource management is crucial for optimizing performance and minimizing costs. This paper explores the integration of AI …
T Yokotani, S Giordano - 2022 IEEE 8th World Forum on …, 2022 - ieeexplore.ieee.org
Summary form only. Edge Intelligence is a synergy that seems to be imperative to conclude the convergence of the Edge Computing and Internet of Things to support intelligent …
A Saif, QA Al-Haija - … Systems Using Artificial Intelligence, Internet of … - taylorfrancis.com
Artificial intelligence (AI) and the Internet of Things (IoT), two revolutionary forces, have ushered in a new era of connection and automation. AI's capacity to analyze massive …
In the era of interconnected devices, securing IoT systems while fostering innovation is paramount. This paper explores the synergy between AI, machine learning, and chatbot …