How and where is artificial intelligence in the public sector going? A literature review and research agenda
WG De Sousa, ERP de Melo, PHDS Bermejo… - Government Information …, 2019 - Elsevier
To obtain benefits in the provision of public services, managers of public organizations have
considerably increased the adoption of artificial intelligence (AI) systems. However, research …
considerably increased the adoption of artificial intelligence (AI) systems. However, research …
Neurocomputing intelligence models for lakes water level forecasting: a comprehensive review
Hydrological processes forecasting is an essential step for better water management and
sustainability. Among several hydrological processes, lake water level (LWL) forecasting is …
sustainability. Among several hydrological processes, lake water level (LWL) forecasting is …
Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for …
In this study, it was investigated that how machine learning (ML) methods show performance
in different problems having different characteristics. Six ML approaches including Artificial …
in different problems having different characteristics. Six ML approaches including Artificial …
A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment
In this research, monthly wind speed time series of the Kirsehir was investigated using the
stand-alone, hybrid and ensemble models. The artificial neural networks, Gaussian process …
stand-alone, hybrid and ensemble models. The artificial neural networks, Gaussian process …
Water level prediction through hybrid SARIMA and ANN models based on time series analysis: Red hills reservoir case study
Reservoir water level (RWL) prediction has become a challenging task due to spatio-
temporal changes in climatic conditions and complicated physical process. The Red Hills …
temporal changes in climatic conditions and complicated physical process. The Red Hills …
Forecasting of water level in multiple temperate lakes using machine learning models
Due to global climate change and growing population, fresh water resources are becoming
more vulnerable to pollution. Protecting fresh water resources, especially lakes and the …
more vulnerable to pollution. Protecting fresh water resources, especially lakes and the …
A multivariate ANN-wavelet approach for rainfall–runoff modeling
Without a doubt the first step in any water resources management is the rainfall–runoff
modeling over the watershed. However considering high stochastic property of the process …
modeling over the watershed. However considering high stochastic property of the process …
Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach
MK Tiwari, C Chatterjee - Journal of Hydrology, 2010 - Elsevier
A hybrid wavelet–bootstrap–ANN (WBANN) model is developed in this study to explore the
potential of wavelet and bootstrapping techniques for developing an accurate and reliable …
potential of wavelet and bootstrapping techniques for developing an accurate and reliable …
Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China
B Li, G Yang, R Wan, X Dai, Y Zhang - Hydrology Research, 2016 - iwaponline.com
Modeling of hydrological time series is essential for sustainable development and
management of lake water resources. This study aims to develop an efficient model for …
management of lake water resources. This study aims to develop an efficient model for …
Daily water level prediction of Zrebar Lake (Iran): a comparison between M5P, random forest, random tree and reduced error pruning trees algorithms
Zrebar Lake is one of the largest freshwater lakes in Iran and it plays an important role in the
ecosystem of the environment, while its desiccation has a negative impact on the …
ecosystem of the environment, while its desiccation has a negative impact on the …