IoT data analytics in dynamic environments: From an automated machine learning perspective
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 …
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
COVID‐19 diagnosis system by deep learning approaches
HK Bhuyan, C Chakraborty, Y Shelke… - Expert Systems, 2022 - Wiley Online Library
The novel coronavirus disease 2019 (COVID‐19) has been a severe health issue affecting
the respiratory system and spreads very fast from one human to other overall countries. For …
the respiratory system and spreads very fast from one human to other overall countries. For …
RETRACTED ARTICLE: 5G standards for the Industry 4.0 enabled communication systems using artificial intelligence: perspective of smart healthcare system
B Alhayani, AS Kwekha-Rashid, HB Mahajan… - Applied …, 2023 - Springer
The emergence of the Industry 4.0 revolution to upgrade the Internet of Things (IoT)
standards provides the prominence outcomes for the future wireless communication systems …
standards provides the prominence outcomes for the future wireless communication systems …
Machine learning‐based clustering protocols for Internet of Things networks: An overview
Summary The Internet of Things (IoT) continues to expand the current Internet, opening the
door to a wide range of novel applications. The increasing volume of the IoT requires …
door to a wide range of novel applications. The increasing volume of the IoT requires …
A systematic literature review of machine learning applications in IoT
Summary The Internet of Things (IoT) is a network of interconnected smart objects having
capabilities that collectively form an ecosystem and enable the delivery of smart services to …
capabilities that collectively form an ecosystem and enable the delivery of smart services to …
A systematic survey on content caching in ICN and ICN-IoT: Challenges, approaches and strategies
CN Pruthvi, HS Vimala, J Shreyas - Computer Networks, 2023 - Elsevier
Context: Data traffic increased in recent years due to the expansion of IoT (Internet of
Things) applications, and most IoT applications follow a content-oriented paradigm. The host …
Things) applications, and most IoT applications follow a content-oriented paradigm. The host …
Advance warning methodologies for covid-19 using chest x-ray images
Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its
first known detection in December 2019. As a result, accurate and reliable advance warning …
first known detection in December 2019. As a result, accurate and reliable advance warning …
[PDF][PDF] Machine learning based energy management at internet of things network nodes
JIZ Chen, KL Lai - Journal: Journal of Trends in Computer …, 2020 - scholar.archive.org
The Internet of Things networks comprising wireless sensors and controllers or IoT gateways
offers extremely high functionalities. However, not much attention is paid towards energy …
offers extremely high functionalities. However, not much attention is paid towards energy …
Automated and intelligent system for monitoring swimming pool safety based on the IoT and transfer learning
A Alotaibi - Electronics, 2020 - mdpi.com
Recently, integrating the Internet of Things (IoT) and computer vision has been utilized in
swimming pool automated surveillance systems. Several studies have been proposed to …
swimming pool automated surveillance systems. Several studies have been proposed to …
Integrated machine learning techniques for preserving privacy in Internet of Things (IoT) systems
The advances in human-driven entities has resulted in a huge amount of smart
technologies, such as smart healthcare, smart offices, smart classrooms, and various others …
technologies, such as smart healthcare, smart offices, smart classrooms, and various others …