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Digital transformation and environmental sustainability: A review and research agenda
Digital transformation refers to the unprecedented disruptions in society, industry, and
organizations stimulated by advances in digital technologies such as artificial intelligence …
organizations stimulated by advances in digital technologies such as artificial intelligence …
Tackling environmental challenges in pollution controls using artificial intelligence: A review
This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …
environmental pollution controls. A number of AI approaches, which start with the reliable …
PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data
In recent years, air pollution has become an important public health concern. The high
concentration of fine particulate matter with diameter less than 2.5 µm (PM2. 5) is known to …
concentration of fine particulate matter with diameter less than 2.5 µm (PM2. 5) is known to …
Application of wavelet-packet transform driven deep learning method in PM2. 5 concentration prediction: A case study of Qingdao, China
Air pollution is one of the most serious environmental problems faced by human beings, and
it is also a hot topic in the development of sustainable cities. Accurate PM 2.5 prediction …
it is also a hot topic in the development of sustainable cities. Accurate PM 2.5 prediction …
The forecasting of PM2. 5 using a hybrid model based on wavelet transform and an improved deep learning algorithm
W Qiao, W Tian, Y Tian, Q Yang, Y Wang… - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, the haze has caused serious troubles to people's lives, with the continuous
increase of PM2. 5 emissions. The accurate prediction of PM2. 5 is very crucial for policy …
increase of PM2. 5 emissions. The accurate prediction of PM2. 5 is very crucial for policy …
A new method for prediction of air pollution based on intelligent computation
The detection and treatment of increasing air pollution due to technological developments
represent some of the most important challenges facing the world today. Indeed, there has …
represent some of the most important challenges facing the world today. Indeed, there has …
Intelligent forecaster of concentrations (PM2. 5, PM10, NO2, CO, O3, SO2) caused air pollution (IFCsAP)
Upgrading health reality is the responsibility of all, it is necessary to think about the design of
a smart system based on modern technologies to reduce the time and effort exerted on the …
a smart system based on modern technologies to reduce the time and effort exerted on the …
Factors affecting variations of soil pH in different horizons in hilly regions
YY Zhang, W Wu, H Liu - Plos one, 2019 - journals.plos.org
Soil pH is a key factor that controls soil nutrient availability, soil microbial activities, and crop
growth and development. However, studies on the soil pH variations of cultivated lands in …
growth and development. However, studies on the soil pH variations of cultivated lands in …
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 …
Deep hybrid model based on EMD with classification by frequency characteristics for long-term air quality prediction
Air pollution (mainly PM2. 5) is one of the main environmental problems about air quality. Air
pollution prediction and early warning is a prerequisite for air pollution prevention and …
pollution prediction and early warning is a prerequisite for air pollution prevention and …