E Adi, A Anwar, Z Baig, S Zeadally - Neural computing and applications, 2020 - Springer
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers, generating a large amount of data required for intelligent data processing. However, the …
Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book Make better business decisions and acquire greater control of your IoT …
J Bzai, F Alam, A Dhafer, M Bojović, SM Altowaijri… - Electronics, 2022 - mdpi.com
Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …
A Suresh, M Nandagopal, P Raj, EA Neeba, JW Lin - 2020 - taylorfrancis.com
As the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this …
Get familiar with the building blocks of IoT solutions using off–the-shelf IoT platforms. Key Features Work with various trending IoT platforms such as AWS IoT, Azure IoT, Google IoT …
X Ma, T Yao, M Hu, Y Dong, W Liu, F Wang… - IEEE Access, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is widely regarded as a key component of the Internet of the future and thereby has drawn significant interests in recent years. IoT consists of billions of …
The Internet of Things (IoT) is made up of software components and physical objects that are deeply intertwined, each operating on different spatial and temporal scales, exhibiting …
Abstract The Internet of Things generates huge amounts of data through millions of devices. Machine learning-based artificial intelligence uses data and provides insights for optimal …
Abstract The Internet of Things (IoT)—the internetworking of physical devices—has been a significant advancement in recent decades and has been the catalyst for several other …