A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
Comparative analysis of exhaust emissions caused by chainsaws with soft computing and statistical approaches
This research compares the nitrogen monoxide and methane exhaust emissions produced
by the engines of two conventional chainsaws (a professional and an amateur one) to those …
by the engines of two conventional chainsaws (a professional and an amateur one) to those …
Novel stock crisis prediction technique—a study on indian stock market
N Naik, BR Mohan - IEEE Access, 2021 - ieeexplore.ieee.org
A stock market crash is a drop in stock prices more than 10% across the major indices. Stock
crisis prediction is a difficult task due to more volatility in the stock market. Stock price sell …
crisis prediction is a difficult task due to more volatility in the stock market. Stock price sell …
HISYCOL a hybrid computational intelligence system for combined machine learning: the case of air pollution modeling in Athens
The analysis of air quality and the continuous monitoring of air pollution levels are important
subjects of the environmental science and research. This problem actually has real impact in …
subjects of the environmental science and research. This problem actually has real impact in …
FuSSFFra, a fuzzy semi-supervised forecasting framework: the case of the air pollution in Athens
Mining hidden knowledge from available datasets is an extremely time-consuming and
demanding process, especially in our era with the vast volume of high-complexity data …
demanding process, especially in our era with the vast volume of high-complexity data …
Fuzzy cognitive maps for long-term prognosis of the evolution of atmospheric pollution, based on climate change scenarios: the case of Athens
Air pollution is related to the concentration of harmful substances in the lower layers of the
atmosphere and it is one of the most serious problems threatening the modern way of life …
atmosphere and it is one of the most serious problems threatening the modern way of life …
Commentary: Aedes albopictus and Aedes japonicus—two invasive mosquito species with different temperature niches in Europe
In this interesting and original study, the authors present an ensemble Machine Learning
(ML) model for the prediction of the habitats' suitability, which is affected by the complex …
(ML) model for the prediction of the habitats' suitability, which is affected by the complex …
Semi-supervised hybrid modeling of atmospheric pollution in urban centers
Air pollution is directly linked with the development of technology and science, the progress
of which besides significant benefits to mankind it also has adverse effects on the …
of which besides significant benefits to mankind it also has adverse effects on the …
Multi-Step Ahead Ex-Ante Forecasting of Air Pollutants Using Machine Learning
In this study, a novel general multi-step ahead strategy is developed for forecasting time
series of air pollutants. The values of the predictors at future moments are gathered from …
series of air pollutants. The values of the predictors at future moments are gathered from …
Hybrid soft computing for atmospheric pollution-climate change data mining
Prolonged climate change contributes to an increase in the local concentrations of O 3 and
PMx in the atmosphere, influencing the seasonality and duration of air pollution incidents …
PMx in the atmosphere, influencing the seasonality and duration of air pollution incidents …