AIoT for sustainable manufacturing: Overview, challenges, and opportunities
The integration of IoT and AI has gained significant attention as an emerging means to
digitize manufacturing industries and drive sustainability in the context of Industry 4.0. In …
digitize manufacturing industries and drive sustainability in the context of Industry 4.0. In …
Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management
Detecting hazardous substances in the environment is crucial for protecting human
wellbeing and ecosystems. As technology continues to advance, artificial intelligence (AI) …
wellbeing and ecosystems. As technology continues to advance, artificial intelligence (AI) …
Review of an intelligent indoor environment monitoring and management system for COVID-19 risk mitigation
The coronavirus disease (COVID-19) outbreak has turned the world upside down bringing
about a massive impact on society due to enforced measures such as the curtailment of …
about a massive impact on society due to enforced measures such as the curtailment of …
Spatial-temporal characterization of air pollutants using a hybrid deep learning/Kriging model incorporated with a weather normalization technique
A scarce distribution of the PM 2.5 chemical compositions monitors reduces the applicability
of scientific information for policymakers to assess the effectiveness of air pollution control …
of scientific information for policymakers to assess the effectiveness of air pollution control …
NEWTR: a multipath routing for next hop destination in internet of things with artificial recurrent neural network (RNN)
Abstract Internet of Things (IoT) and Wireless Sensor Networks (WSN) are a set of low-cost
wireless sensors that can collect, process and send environment's data. WSN nodes are …
wireless sensors that can collect, process and send environment's data. WSN nodes are …
Volatile threshold switching memristor: An emerging enabler in the AIoT era
With rapid advancement and deep integration of artificial intelligence and the internet-of-
things, artificial intelligence of things has emerged as a promising technology changing …
things, artificial intelligence of things has emerged as a promising technology changing …
High-spatiotemporal-resolution PM2. 5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data
KY Wu, IW Hsia, PY Kow, LC Chang… - Journal of Cleaner …, 2023 - Elsevier
High-resolution real-time air quality forecasting can alert decision-makers and residents
about forthcoming air pollution events and refine air quality management. The …
about forthcoming air pollution events and refine air quality management. The …
Characterization of temporal PM2. 5, nitrate, and sulfate using deep learning techniques
Water-soluble inorganic salts (WIS) contribute a large fraction of PM 2.5, which are
responsible for the adverse effects on human health and environment. It is important to …
responsible for the adverse effects on human health and environment. It is important to …
On Construction of a Campus Outdoor Air and Water Quality Monitoring System Using LoRaWAN
This paper proposed implementing a water and air monitoring system using sensor
development and a LoRa Network. To transmit data, a self-made PCB board integrates the …
development and a LoRa Network. To transmit data, a self-made PCB board integrates the …
Identification of environmental pollutants in construction site monitoring using association rule mining and ontology-based reasoning
Z Xu, H Huo, S Pang - Buildings, 2022 - mdpi.com
Pollutants from construction activities of building projects can have serious negative impacts
on the natural environment and human health. Carrying out monitoring of environmental …
on the natural environment and human health. Carrying out monitoring of environmental …