[HTML][HTML] A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to …

M Safaei, EA Sundararajan, M Driss, W Boulila… - Computers in biology …, 2021 - Elsevier
Obesity is considered a principal public health concern and ranked as the fifth foremost
reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that …

A systematic literature review on outlier detection in wireless sensor networks

M Safaei, S Asadi, M Driss, W Boulila, A Alsaeedi… - Symmetry, 2020 - mdpi.com
A wireless sensor network (WSN) is defined as a set of spatially distributed and
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …

Regional hydrological frequency analysis at ungauged sites with random forest regression

S Desai, TBMJ Ouarda - Journal of Hydrology, 2021 - Elsevier
Flood quantile estimation at sites with little or no data is important for the adequate planning
and management of water resources. Regional Hydrological Frequency Analysis (RFA) …

A comprehensive assessment of water storage dynamics and hydroclimatic extremes in the Chao Phraya River Basin during 2002–2020

T Kinouchi, T Sayama - Journal of Hydrology, 2021 - Elsevier
A holistic assessment of the hydroclimatic extremes, which have caused tremendous
environmental, societal, and economic losses globally, is imperative for the highly …

The development of a hybrid wavelet-ARIMA-LSTM model for precipitation amounts and drought analysis

X Wu, J Zhou, H Yu, D Liu, K **e, Y Chen, J Hu, H Sun… - Atmosphere, 2021 - mdpi.com
Investigation of quantitative predictions of precipitation amounts and forecasts of drought
events are conducive to facilitating early drought warnings. However, there has been limited …

Estimation of water quality characteristics at ungauged sites using artificial neural networks and canonical correlation analysis

B Khalil, TBMJ Ouarda, A St-Hilaire - Journal of Hydrology, 2011 - Elsevier
Three models are developed for the estimation of water quality mean values at ungauged
sites. The first model is based on artificial neural networks (ANN), the second model is …

Artificial intelligence for the prediction of water quality index in groundwater systems

M Sakizadeh - Modeling Earth Systems and Environment, 2016 - Springer
A study was initiated to predict water quality index (WQI) using artificial neural networks
(ANNs) with respect to the concentrations of 16 groundwater quality variables collected from …

Application of artificial neural networks in regional flood frequency analysis: a case study for Australia

K Aziz, A Rahman, G Fang, S Shrestha - … environmental research and risk …, 2014 - Springer
Regional flood frequency analysis (RFFA) is widely used in practice to estimate flood
quantiles in ungauged catchments. Most commonly adopted RFFA methods such as …

Regional flood frequency analysis using support vector regression under historical and future climate

MS Gizaw, TY Gan - Journal of Hydrology, 2016 - Elsevier
Summary Regional Flood Frequency Analysis (RFFA) is a statistical method widely used to
estimate flood quantiles of catchments with limited streamflow data. In addition, to estimate …

A day at the beach: Enabling coastal water quality prediction with high-frequency sampling and data-driven models

RT Searcy, AB Boehm - Environmental Science & Technology, 2021 - ACS Publications
To reduce the incidence of recreational waterborne illness, fecal indicator bacteria (FIB) are
measured to assess water quality and inform beach management. Recently, predictive FIB …