Optimizing long short-term memory network for air pollution prediction using a novel binary chimp optimization algorithm
Elevated levels of fine particulate matter (PM2. 5) in the atmosphere present substantial risks
to human health and welfare. The accurate assessment of PM2. 5 concentrations plays a …
to human health and welfare. The accurate assessment of PM2. 5 concentrations plays a …
[HTML][HTML] Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10
Forecasting of particulate matter (PM10) which adversely impacts air quality is highly
important in ever-urbanizing cities. The relationship between particulate matter and other air …
important in ever-urbanizing cities. The relationship between particulate matter and other air …
AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis
The discipline of forecasting and prediction is witnessing a surge in the application of these
techniques as a direct result of the strong empirical performance that approaches based on …
techniques as a direct result of the strong empirical performance that approaches based on …
Machine learning techniques for vector control of permanent magnet synchronous motor drives
AM Tom, JL Febin Daya - Cogent Engineering, 2024 - Taylor & Francis
In the conventional vector control technique for motor drive, Proportional-Integral (PI)
controllers are being used, which are sensitive to parameter variations of the drive system …
controllers are being used, which are sensitive to parameter variations of the drive system …
[PDF][PDF] Impact of Deep Learning in Analytics of Climate Change: A Survey
R Rohith, G Geetha - researchgate.net
The paper Impact of Deep Learning in the Analytics of Climate Change surveys the recent
advances and applications of deep learning methods for various climate change related …
advances and applications of deep learning methods for various climate change related …