Seasonal Analysis of Air Pollutants and Ensemble Machine Learning–Based AQI Prediction [PDF]
This research investigated the concentration of major air pollutants that vary seasonally and developed a machine learning approach to estimate the Air Quality Index (AQI). Monthly analysis revealed distinct temporal trends, with particulate matter (PM₁₀
Al Kiyumi Suha Rashid Salim +5 more
doaj +1 more source
Pediatric Drug Adherence and Parental Attention: Evidence From Comprehensive Claims Data
ABSTRACT Using comprehensive U.S. drug claims data, we show that adherence to asthma control medication declined during the COVID‐19 pandemic. We find that young children exhibited a 40 percent decrease in adherence by the end of 2020. The responses were less negative for older children and positive for adults.
Josh Feng +2 more
wiley +1 more source
Assessment of Air Pollution Changes during COVID-19 Pandemic in Jiangsu Province of China from 2018 to 2021 [PDF]
The COVID-19 pandemic, which began during early 2020, had been a worldwide problem, resulting in significant fatalities. In China, the pandemic resulted in strict lockdowns, restricted movement, and reduced transportation. This resulted in improvement of
A. C. Johnson
doaj +1 more source
The effect of short-term changes in air pollution on respiratory and cardiovascular morbidity in Nicosia, Cyprus. [PDF]
Presented at the 6th International Conference on Urban Air Quality, Limassol, March, 2007. Short-paper was submitted for peer-review and appears in proceedings of the conference.This study investigates the effect of daily changes in levels of PM10 on the
Demokritou, Philip +7 more
core +1 more source
Optimising Wave Energy Plant Location Through Neutrosophic Multi‐Criteria Group Decision‐Making
ABSTRACT The global shift towards sustainable energy has intensified research into renewable sources, particularly wave energy. Pakistan, with its long coastline, holds significant potential for wave energy development. However, identifying optimal locations for wave energy plants involves evaluating complex, multi‐faceted criteria.
Hafiz Muhammad Athar Farid +4 more
wiley +1 more source
Ensemble learning of model hyperparameters and spatiotemporal data for calibration of low-cost PM2.5 sensors. [PDF]
he PM2.5 air quality index (AQI) measurements from government-built supersites are accurate but cannot provide a dense coverage of monitoring areas. Low-cost PM2.5 sensors can be used to deploy a fine-grained internet-of-things (IoT) as a complement to ...
Bhanu, Bir +4 more
core
Is Pollution Reduced or Redistributed? The Impact of Electric Vehicle Subsidies in China
ABSTRACT This paper examines the geographically heterogeneous environmental effects of electric vehicle (EV) subsidies in China and compares EV subsidies with alternative policies that price environmental externalities. The study employs a structural model that features demand and supply to analyze the environmental effects of EV subsidies through ...
Lisha Meng, Junji Xiao, Mengxin Liu
wiley +1 more source
Facilitating the creation of IoT applications through conditional observations in CoAP [PDF]
With the advent of IPv6, the world is getting ready to incorporate smart objects to the current Internet to realize the idea of Internet of Things.
Demeester, Piet +3 more
core +2 more sources
Using seasonal data from a single‐host system (Mongolian gerbil‐flea), we show that community organization is governed by a hierarchical niche structure rather than classic niche partitioning. Network analyses reveal a persistent generalist core with seasonally shifting peripheries (spring assembly, summer integration, autumn reorganization).
Rui Geng +5 more
wiley +1 more source
Prediction of Air Quality Index Using Ensemble Models
The impact of air pollution on health is measured by the Air Quality Index (AQI). Accurate AQI prediction is essential for pollution reduction and public health recommendations.
Theresia Herlina Rochadiani
doaj +1 more source

