Prediction-based delay optimization data collection algorithm for underwater acoustic sensor networks
The past years have seen a rapid development of autonomous underwater vehicle-aided
(AUV-aided) data-gathering schemes in underwater acoustic sensor networks (UASNs). The …
(AUV-aided) data-gathering schemes in underwater acoustic sensor networks (UASNs). The …
[PDF][PDF] Deep air: forecasting air pollution in Beijing, China
V Reddy, P Yedavalli, S Mohanty… - Environmental …, 2018 - ischool.berkeley.edu
Air pollution in urban environments has risen steadily in the last several decades. Such
cities as Beijing and Delhi have experienced rises to dangerous levels for citizens. As a …
cities as Beijing and Delhi have experienced rises to dangerous levels for citizens. As a …
Prediction of sea surface temperature in the tropical Atlantic by support vector machines
ID Lins, M Araujo, M das Chagas Moura… - … Statistics & Data …, 2013 - Elsevier
The Sea Surface Temperature (SST) is one of the environmental indicators monitored by
buoys of the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA) …
buoys of the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA) …
Anatomization of air quality prediction using neural networks, regression and hybrid models
A Kshirsagar, M Shah - Journal of Cleaner Production, 2022 - Elsevier
Breathing polluted air can cause severe health impacts, which might be irreversible in many
cases. However, these issues can be tackled with the existing and improving technologies …
cases. However, these issues can be tackled with the existing and improving technologies …
Air pollution prediction based on factory-aware attentional LSTM neural network
DR Liu, YK Hsu, HY Chen, HJ Jau - Computing, 2021 - Springer
With air quality issues becoming ever greater global concerns, many countries are facing
numerous air pollution problems. Among all the particulate matter of air pollution, PM2. 5 …
numerous air pollution problems. Among all the particulate matter of air pollution, PM2. 5 …
Large scale online multiple kernel regression with application to time-series prediction
Kernel-based regression represents an important family of learning techniques for solving
challenging regression tasks with non-linear patterns. Despite being studied extensively …
challenging regression tasks with non-linear patterns. Despite being studied extensively …
Predictive mapping of urban air pollution using Apache Spark on a Hadoop cluster
M Asgari, M Farnaghi, Z Ghaemi - … conference on cloud and big data …, 2017 - dl.acm.org
Air pollution is one of the major environmental problems in the industrial and populated
cities. Predictive mapping of urban air pollution and sharing the generated maps with the …
cities. Predictive mapping of urban air pollution and sharing the generated maps with the …
Multi-step streamflow forecasting using data-driven non-linear methods in contrasting climate regimes
DJ Karran, E Morin, J Adamowski - Journal of Hydroinformatics, 2014 - iwaponline.com
Considering the popularity of using data-driven non-linear methods for forecasting
streamflow, there has been no exploration of how well such models perform in climate …
streamflow, there has been no exploration of how well such models perform in climate …
Using Improved Neural Network Model to Analyze RSP, NOx and NO2 Levels in Urban Air in Mong Kok, Hong Kong
As the health impact of air pollutants existing in ambient addresses much attention in recent
years, forecasting of airpollutant parameters becomes an important and popular topic …
years, forecasting of airpollutant parameters becomes an important and popular topic …
Soft computing applications in air quality modeling: Past, present, and future
Air quality models simulate the atmospheric environment systems and provide increased
domain knowledge and reliable forecasting. They provide early warnings to the population …
domain knowledge and reliable forecasting. They provide early warnings to the population …