From cloud down to things: An overview of machine learning in internet of things

F Samie, L Bauer, J Henkel - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …

The role of machine learning techniques in internet of things-based cloud applications

S Mishra, AK Tyagi - Artificial intelligence-based internet of things systems, 2022 - Springer
Abstract Today's Machine Learning (ML) in a blend with Internet of Things (IoT)-based cloud
applications plays a significant role in our everyday life. As indicated by Gartner's recent …

Machine learning-enabled internet of things (iot): Data, applications, and industry perspective

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 survey on machine learning in Internet of Things: Algorithms, strategies, and applications

S Messaoud, A Bradai, SHR Bukhari, PTA Quang… - Internet of Things, 2020 - Elsevier
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …

Deep learning: Edge-cloud data analytics for iot

AM Ghosh, K Grolinger - 2019 IEEE Canadian Conference of …, 2019 - ieeexplore.ieee.org
Sensors, wearables, mobile and other Internet of Thing (IoT) devices are becoming
increasingly integrated in all aspects of our lives. They are capable of collecting massive …

Deep learning for Internet of Things data analytics

TJ Saleem, MA Chishti - Procedia computer science, 2019 - Elsevier
The recent technological innovations and brisk amalgamation of domains such as sensing
and actuating technologies, embedded systems, wireless communication, and data …

Machine learning and data analytics for the IoT

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 …

Performance analysis and comparison of machine and deep learning algorithms for IoT data classification

M Vakili, M Ghamsari, M Rezaei - arXiv preprint arXiv:2001.09636, 2020 - arxiv.org
In recent years, the growth of Internet of Things (IoT) as an emerging technology has been
unbelievable. The number of networkenabled devices in IoT domains is increasing …

Edge intelligence for data handling and predictive maintenance in IIOT

T Hafeez, L Xu, G Mcardle - IEEE Access, 2021 - ieeexplore.ieee.org
The use of IoT has become pervasive and IoT devices are common in many domains.
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …

IoT data analytics in dynamic environments: From an automated machine learning perspective

L Yang, A Shami - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …