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Using machine learning for the calibration of airborne particulate sensors
Airborne particulates are of particular significance for their human health impacts and their
roles in both atmospheric radiative transfer and atmospheric chemistry. Observations of …
roles in both atmospheric radiative transfer and atmospheric chemistry. Observations of …
Survey on the estimation of mutual information methods as a measure of dependency versus correlation analysis
In this survey, we present and compare different approaches to estimate Mutual Information
(MI) from data to analyse general dependencies between variables of interest in a system …
(MI) from data to analyse general dependencies between variables of interest in a system …
Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing
Air quality information is increasingly becoming a public health concern, since some of the
aerosol particles pose harmful effects to peoples health. One widely available metric of …
aerosol particles pose harmful effects to peoples health. One widely available metric of …
Machine learning, big data, and spatial tools: A combination to reveal complex facts that impact environmental health
By definition, human health and well-being are due to a complex interaction between a
myriad of factors, a set of interactions for which we do not have a complete theoretical …
myriad of factors, a set of interactions for which we do not have a complete theoretical …
Environmental Intelligence using Machine Learning Applications
N Malakar - Journal of Nepal Physical Society, 2022 - nepjol.info
The big data deluge has presented us with a unique opportunity to observe the environment.
These sensors employ the basic physics principles in sensing the environment. These …
These sensors employ the basic physics principles in sensing the environment. These …
Advancement in airborne particulate estimation using machine learning
Airborne particulates are of particular significance for their human health impacts and their
roles in both atmospheric radiative transfer and atmospheric chemistry. Observations of …
roles in both atmospheric radiative transfer and atmospheric chemistry. Observations of …
Modeling Autonomic Pupillary Responses from External Stimuli Using Machine Learning
D Lary - 2019 - osf.io
The human body exhibits a variety of autonomic responses. For example, changing light
intensity provokes a change in the pupil dilation. In the past, formulae for pupil size based on …
intensity provokes a change in the pupil dilation. In the past, formulae for pupil size based on …