Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Air-pollution prediction in smart city, deep learning approach
Over the past few decades, due to human activities, industrialization, and urbanization, air
pollution has become a life-threatening factor in many countries around the world. Among …
pollution has become a life-threatening factor in many countries around the world. Among …
[HTML][HTML] Air pollution exposure monitoring using portable low-cost air quality sensors
Urban environments with a high degree of industrialization are infested with hazardous
chemicals and airborne pollutants. These pollutants can have devastating effects on human …
chemicals and airborne pollutants. These pollutants can have devastating effects on human …
Intelligent calibration and virtual sensing for integrated low-cost air quality sensors
This paper presents the development of air quality low-cost sensors (LCS) with improved
accuracy features. The LCS features integrate machine learning based calibration models …
accuracy features. The LCS features integrate machine learning based calibration models …
[HTML][HTML] Applicability of denoising-based artificial intelligence to forecast the environmental externalities
The current study attempts to compare the hybrid artificial intelligence models to forecast the
environmental externalities in Saudi Arabia. We have used the denoising based artificial …
environmental externalities in Saudi Arabia. We have used the denoising based artificial …
[HTML][HTML] Evaluation of white-box versus black-box machine learning models in estimating ambient black carbon concentration
Air quality prediction with black-box (BB) modelling is gaining widespread interest in
research and industry. This type of data-driven models work generally better in terms of …
research and industry. This type of data-driven models work generally better in terms of …
[HTML][HTML] Machine learning modeling for energy consumption of residential and commercial sectors
Energy has a strategic role in the economic and social development of countries. In the last
few decades, energy demand has been increasing exponentially across the world, and …
few decades, energy demand has been increasing exponentially across the world, and …
[HTML][HTML] Non-linear models for black carbon exposure modelling using air pollution datasets
J Rovira, JA Paredes-Ahumada… - Environmental …, 2022 - Elsevier
Black carbon (BC) is a product of incomplete combustion, present in urban aerosols and
sourcing mainly from road traffic. Epidemiological evidence reports positive associations …
sourcing mainly from road traffic. Epidemiological evidence reports positive associations …
Local synergies and antagonisms between meteorological factors and air pollution: A 15-year comprehensive study in the Sydney region
G Ulpiani, G Ranzi, M Santamouris - Science of The Total Environment, 2021 - Elsevier
Associated with rapid urbanization and escalation of bushfire events, Sydney has
experienced significant air quality degradation in the XXI century. In this study, we present a …
experienced significant air quality degradation in the XXI century. In this study, we present a …
[HTML][HTML] ennemi: Non-linear correlation detection with mutual information
P Laarne, MA Zaidan, T Nieminen - SoftwareX, 2021 - Elsevier
We present ennemi, a Python package for correlation analysis based on mutual information
(MI). MI is a measure of relationship between variables. Unlike Pearson correlation it is valid …
(MI). MI is a measure of relationship between variables. Unlike Pearson correlation it is valid …
Research on an adaptive prediction method for restaurant air quality based on occupancy detection
This study evaluates the impact of personnel on air quality in air-conditioned restaurant
environments during winter, summer, and transitional seasons, characterized by the …
environments during winter, summer, and transitional seasons, characterized by the …