A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …
IoT adoption and application for smart healthcare: a systematic review
M Al-Rawashdeh, P Keikhosrokiani, B Belaton… - Sensors, 2022 - mdpi.com
In general, the adoption of IoT applications among end users in healthcare is very low.
Healthcare professionals present major challenges to the successful implementation of IoT …
Healthcare professionals present major challenges to the successful implementation of IoT …
Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …
interconnected devices, allowing the use of various smart applications. The enormous …
Deep learning in security of internet of things
Y Li, Y Zuo, H Song, Z Lv - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Internet-of-Things (IoT) technology is increasingly prominent in the current stage of social
development. All walks of life have begun to implement the IoT integration technology, so as …
development. All walks of life have begun to implement the IoT integration technology, so as …
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Deep learning-based diagnosis of Alzheimer's disease
Alzheimer's disease (AD), the most familiar type of dementia, is a severe concern in modern
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
[HTML][HTML] Deep learning for the internet of things: Potential benefits and use-cases
TJ Saleem, MA Chishti - Digital Communications and Networks, 2021 - Elsevier
The massive number of sensors deployed in the Internet of Things (IoT) produce gigantic
amounts of data for facilitating a wide range of applications. Deep Learning (DL) would …
amounts of data for facilitating a wide range of applications. Deep Learning (DL) would …
Fog big data analysis for IoT sensor application using fusion deep learning
The IoT sensor applications have grown in extreme numbers, generating a large amount of
data, and it requires very effective data analysis procedures. However, the different IoT …
data, and it requires very effective data analysis procedures. However, the different IoT …
[HTML][HTML] A systematic literature review of recent lightweight detection approaches leveraging machine and deep learning mechanisms in Internet of Things networks
GAL Mukhaini, M Anbar, S Manickam… - Journal of King Saud …, 2023 - Elsevier
Abstract The Internet of Things (IoT) connects daily use devices to the Internet, such as
home appliances, health care equipment, sensors, and industrial devices. Concurrently …
home appliances, health care equipment, sensors, and industrial devices. Concurrently …