A survey of recent advances in edge-computing-powered artificial intelligence of things
Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …
multitude of wired and wireless sensors generating a variety of heterogeneous data over …
IoMT amid COVID-19 pandemic: Application, architecture, technology, and security
In many countries, the Internet of Medical Things (IoMT) has been deployed in tandem with
other strategies to curb the spread of COVID-19, improve the safety of front-line personnel …
other strategies to curb the spread of COVID-19, improve the safety of front-line personnel …
[HTML][HTML] Deep learning-based waste detection in natural and urban environments
Waste pollution is one of the most significant environmental issues in the modern world. The
importance of recycling is well known, both for economic and ecological reasons, and the …
importance of recycling is well known, both for economic and ecological reasons, and the …
Applications of convolutional neural networks for intelligent waste identification and recycling: A review
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …
applications of artificial intelligence in waste management have generated a large amount of …
Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …
complex processes of waste management and recovery have limited the performance of …
Innovation designs of industry 4.0 based solid waste management: Machinery and digital circular economy
Abstract The Industrial Revolution 4.0 (IR 4.0) holds the opportunity to improve the efficiency
of managing solid waste through digital and machinery applications, effectively eliminating …
of managing solid waste through digital and machinery applications, effectively eliminating …
Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction
Maternal health is an important aspect of women's health during pregnancy, childbirth, and
the postpartum period. Specifically, during pregnancy, different health factors like age, blood …
the postpartum period. Specifically, during pregnancy, different health factors like age, blood …
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks
Abstract The Internet of Medical Things (IoMT) is increasingly replacing the traditional
healthcare systems. However, less focus has been paid to their security against cyber …
healthcare systems. However, less focus has been paid to their security against cyber …
Blockchain-based solutions supporting reliable healthcare for fog computing and Internet of medical things (IoMT) integration
The Internet of Things (IoT) has radically transformed how patient information and
healthcare monitoring are monitored and recorded and has revolutionized the area by …
healthcare monitoring are monitored and recorded and has revolutionized the area by …
[Retracted] Machine Learning and IoT‐Based Waste Management Model
A rapid rise in inhabitants across the globe has led to the inadmissible management of
waste in various countries, giving rise to various health issues and environmental pollution …
waste in various countries, giving rise to various health issues and environmental pollution …