Machine learning and deep learning in smart manufacturing: The smart grid paradigm
Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …
through network sensors to the Internet, a huge amount of data is generated. Machine …
[HTML][HTML] Generalized additive models: Building evidence of air pollution, climate change and human health
Advances in statistical analysis in the last few decades in the area of linear models
enhanced the capability of researchers to study environmental procedures. In relation to …
enhanced the capability of researchers to study environmental procedures. In relation to …
A review of spline function procedures in R
A Perperoglou, W Sauerbrei, M Abrahamowicz… - BMC medical research …, 2019 - Springer
Background With progress on both the theoretical and the computational fronts the use of
spline modelling has become an established tool in statistical regression analysis. An …
spline modelling has become an established tool in statistical regression analysis. An …
[HTML][HTML] Global association of air pollution and heart failure: a systematic review and meta-analysis
Background Acute exposure to air pollution has been linked to myocardial infarction, but its
effect on heart failure is uncertain. We did a systematic review and meta-analysis to assess …
effect on heart failure is uncertain. We did a systematic review and meta-analysis to assess …
Time series forecasting model for supermarket sales using FB-prophet
BK Jha, S Pande - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
Forecasting techniques are used in the various problem domains such as-sales, banking,
healthcare, stock market, etc. The time-series dataset has time-related information that is …
healthcare, stock market, etc. The time-series dataset has time-related information that is …
PM2. 5 in China: Measurements, sources, visibility and health effects, and mitigation
Concern over the health effects of fine particles in the ambient environment led the US
Environmental Protection Agency to develop the first standard for PM 2.5 (particulate matter …
Environmental Protection Agency to develop the first standard for PM 2.5 (particulate matter …
The quest for improved air quality may push China to continue its CO2 reduction beyond the Paris Commitment
China is challenged with the simultaneous goals of improving air quality and mitigating
climate change. The “Beautiful China” strategy, launched by the Chinese government in …
climate change. The “Beautiful China” strategy, launched by the Chinese government in …
Assessing Beijing's PM2.5 pollution: severity, weather impact, APEC and winter heating
By learning the PM2. 5 readings and meteorological records from 2010–2015, the severity of
PM2. 5 pollution in Beijing is quantified with a set of statistical measures. As PM2. 5 …
PM2. 5 pollution in Beijing is quantified with a set of statistical measures. As PM2. 5 …
Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support …
W Chen, HR Pourghasemi, M Panahi, A Kornejady… - Geomorphology, 2017 - Elsevier
The spatial prediction of landslide susceptibility is an important prerequisite for the analysis
of landslide hazards and risks in any area. This research uses three data mining techniques …
of landslide hazards and risks in any area. This research uses three data mining techniques …
Early spring near-surface ozone in Europe during the COVID-19 shutdown: Meteorological effects outweigh emission changes
C Ordóñez, JM Garrido-Perez… - Science of the total …, 2020 - Elsevier
This paper analyses the impact of the control measures during the COVID-19 lockdown in
Europe (15 March–30 April 2020) on 1-h daily maximum nitrogen dioxide (NO 2) and …
Europe (15 March–30 April 2020) on 1-h daily maximum nitrogen dioxide (NO 2) and …