Inlet Water Quality Forecasting of Wastewater Treatment Based on Kernel Principal Component Analysis and an Extreme Learning Machine

Insights into the Toxicity of Triclosan to Green Microalga Chlorococcum sp. Using Synchrotron-Based Fourier Transform Infrared Spectromicroscopy: Biophysiological Analyses and Roles of Environmental Factors

(2018) Xiaying Xin et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Investigating the composition characteristics of dissolved and particulate/colloidal organic matter in effluent-dominated stream using fluorescence spectroscopy combined with multivariable analysis

(2018) Min-Da Yu et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Behavioral Modeling for Mental Health using Machine Learning Algorithms

(2018) M. Srividya et al.   JOURNAL OF MEDICAL SYSTEMS

Comparison of ARIMA and NNAR Models for Forecasting Water Treatment Plant's Influent Characteristics

(2018) Afshin Maleki et al.   KSCE Journal of Civil Engineering

Statistical monitoring and dynamic simulation of a wastewater treatment plant: A combined approach to achieve model predictive control

(2017) Xiaodong Wang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Adding reliability to ELM forecasts by confidence intervals

(2017) Anton Akusok et al.   NEUROCOMPUTING

Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model

(2017) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China

(2017) Zhenliang Yin et al.   Water

Empirical Sewer Water Quality Model for Generating Influent Data for WWTP Modelling

(2017) Jeroen Langeveld et al.   Water

A novel hybrid KPCA and SVM with PSO model for identifying debris flow hazard degree: a case study in Southwest China

(2016) Xin Qian et al.   Environmental Earth Sciences

Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models

(2016) Yun Bai et al.   JOURNAL OF HYDROLOGY

Illumination correction of dyed fabrics approach using Bagging-based ensemble particle swarm optimization–extreme learning machine

(2016) Zhiyu Zhou et al.   OPTICAL ENGINEERING

Rational and self-adaptive evolutionary extreme learning machine for electricity price forecast

(2016) Chixin Xiao et al.   Memetic Computing

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

(2015) Ravinesh C. Deo et al.   ATMOSPHERIC RESEARCH

Short-term load forecasting by wavelet transform and evolutionary extreme learning machine

(2015) Song Li et al.   ELECTRIC POWER SYSTEMS RESEARCH

Viscosity of carbon nanotube suspension using artificial neural networks with principal component analysis

(2015) Fakhri Yousefi et al.   HEAT AND MASS TRANSFER

Adaptive Least Squares Support Vector Machine Predictor for Blast Furnace Ironmaking Process

(2015) Ling Jian et al.   ISIJ INTERNATIONAL

Identification of subsurface structures using electromagnetic data and shape priors

(2015) Svenn Tveit et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean

(2015) Mohamad Javad Alizadeh et al.   MARINE POLLUTION BULLETIN

An ELM-based model for affective analogical reasoning

(2015) Erik Cambria et al.   NEUROCOMPUTING

A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation

(2015) Shahaboddin Shamshirband et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Assessment of the Impacts of Climate Change on the Water Quality of a Small Deep Reservoir in a Humid-Subtropical Climatic Region

(2015) Chih-Hua Chang et al.   Water

Application of wavelet analysis and a particle swarm-optimized support vector machine to predict the displacement of the Shuping landslide in the Three Gorges, China

(2014) Fu Ren et al.   Environmental Earth Sciences

A multi-scale relevance vector regression approach for daily urban water demand forecasting

(2014) Yun Bai et al.   JOURNAL OF HYDROLOGY

On exploratory factor analysis: A review of recent evidence, an assessment of current practice, and recommendations for future use

(2013) Cadeyrn J. Gaskin et al.   INTERNATIONAL JOURNAL OF NURSING STUDIES

Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis

(2013) Cheng Lian et al.   NEURAL COMPUTING & APPLICATIONS

An efficient 3D face recognition approach using local geometrical signatures

(2013) Yinjie Lei et al.   PATTERN RECOGNITION

A few useful things to know about machine learning

(2012) Pedro Domingos   COMMUNICATIONS OF THE ACM

A data-mining approach to predict influent quality

(2012) Andrew Kusiak et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A framework of characteristics identification and source apportionment of water pollution in a river: a case study in the Jinjiang River, China

(2012) Haiyang Chen et al.   WATER SCIENCE AND TECHNOLOGY

Water quality monitoring using cluster analysis and linear models

(2011) A. Manuela Gonçalves et al.   ENVIRONMETRICS

Formation drillability prediction based on multi-source information fusion

(2011) Hai Ma   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Fault diagnosis of nonlinear processes using multiscale KPCA and multiscale KPLS

(2010) Yingwei Zhang et al.   CHEMICAL ENGINEERING SCIENCE

Integrated chemical treatment of municipal wastewater using waste hydrogen peroxide and ultraviolet light

(2010) Zulfiqar Ahmed Bhatti et al.   PHYSICS AND CHEMISTRY OF THE EARTH

Estimation of Biological Oxygen Demand and Chemical Oxygen Demand for Combined Sewer Systems Using Synchronous Fluorescence Spectra

(2010) Jin Hur et al.   SENSORS

Learning a data-dependent kernel function for KPCA-based nonlinear process monitoring

(2009) Ji-Dong Shao et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Generalized KPCA by adaptive rules in feature space

(2009) Yanwei Pang et al.   INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS

Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM

(2008) Yingwei Zhang   CHEMICAL ENGINEERING SCIENCE

A fast pruned-extreme learning machine for classification problem

(2008) Hai-Jun Rong et al.   NEUROCOMPUTING

A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data

(2008) Vince D. Calhoun et al.   NEUROIMAGE

KPCA denoising and the pre-image problem revisited

(2007) A.R. Teixeira et al.   DIGITAL SIGNAL PROCESSING

Incremental extreme learning machine with fully complex hidden nodes

(2007) Guang-Bin Huang et al.   NEUROCOMPUTING

A comparison of generalized linear discriminant analysis algorithms

(2007) Cheong Hee Park et al.   PATTERN RECOGNITION