Ecological states of watercourses regarding water quality parameters and hydromorphological parameters: deriving empirical equations by machine learning models

Unsupervised feature selection based on variance-covariance subspace distance

(2023) Saeed Karami et al.   NEURAL NETWORKS

The Macrophyte Indices for Rivers to Assess the Ecological Conditions in the Klina River in the Republic of Kosovo

(2022) Pajtim Bytyçi et al.   Plants-Basel

Prediction of irrigation water quality indices based on machine learning and regression models

(2022) Ali Mokhtar et al.   Applied Water Science

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

(2022) Farshad Saberi-Movahed et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Unsupervised feature selection guided by orthogonal representation of feature space

(2022) Mahsa Samareh Jahani et al.   NEUROCOMPUTING

Decision tree models in predicting water quality parameters of dissolved oxygen and phosphorus in lake water

(2022) Faezeh Gorgan-Mohammadi et al.   Sustainable Water Resources Management

Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models

(2021) Mohammad Najafzadeh et al.   ARTIFICIAL INTELLIGENCE REVIEW

High dimensionality reduction by matrix factorization for systems pharmacology

(2021) Adel Mehrpooya et al.   BRIEFINGS IN BIOINFORMATICS

Non-Linear Visualization and Importance Ratio Analysis of Multivariate Polynomial Regression Ecological Models Based on River Hydromorphology and Water Quality

(2021) Vishwa Shah et al.   Water

Dissolved oxygen prediction using a new ensemble method

(2020) Ozgur Kisi et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Online Sequential Extreme Learning Machine in River Water Quality (Turbidity) Prediction: A Comparative Study on Different Data Mining Approaches

(2020) Mohammad Zounemat‐Kermani et al.   WATER AND ENVIRONMENT JOURNAL

Impacts of multiple stressors on freshwater biota across spatial scales and ecosystems

(2020) Sebastian Birk et al.   Nature Ecology & Evolution

Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea

(2020) Sungwon Kim et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida

(2019) Mohammad Zounemat-Kermani et al.   Applied Sciences-Basel

The Macrophyte Index for Rivers (MIR) as an Advantageous Approach to Running Water Assessment in Local Geographical Conditions

(2019) Krzysztof Szoszkiewicz et al.   Water

Modelling daily dissolved oxygen concentration using least square support vector machine, multivariate adaptive regression splines and M5 model tree

(2018) Salim Heddam et al.   JOURNAL OF HYDROLOGY

Integrating river hydromorphology and water quality into ecological status modelling by artificial neural networks

(2018) Daniel Gebler et al.   WATER RESEARCH

Plants in aquatic ecosystems: current trends and future directions

(2017) Matthew T. O’Hare et al.   HYDROBIOLOGIA

Modeling the species richness and abundance of lotic macroalgae based on habitat characteristics by artificial neural networks: a potentially useful tool for stream biomonitoring programs

(2017) José Celso Rocha et al.   JOURNAL OF APPLIED PHYCOLOGY

Modeling of the river ecological status with macrophytes using artificial neural networks

(2017) D. Gebler et al.   LIMNOLOGICA

Evaluation of wavelet-GEP and wavelet-ANN hybrid models for prediction of total nitrogen concentration in coastal marine waters

(2016) Taher Rajaee et al.   Arabian Journal of Geosciences

Is the macrophyte diversification along the trophic gradient distinct enough for river monitoring?

(2016) Krzysztof Szoszkiewicz et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Natural variation of macrophyte vegetation of lowland streams at the regional level

(2015) Gerhard Wiegleb et al.   LIMNOLOGICA

Rebalancing the philosophy of river conservation

(2014) S. J. Ormerod   AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS

ESMI: a macrophyte index for assessing the ecological status of lakes

(2014) Hanna Ciecierska et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Long-term dynamics of macrophyte dominance and growth-form types in two north-west German lowland streams

(2014) Gerhard Wiegleb et al.   FRESHWATER BIOLOGY

Modeling of Dissolved Oxygen in River Water Using Artificial Intelligence Techniques

(2014) O. Kisi   Journal of Environmental Informatics

Assessing the ecological status in the context of the European Water Framework Directive: Where do we go now?

(2014) Yorick Reyjol et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Artificial neural network modeling of dissolved oxygen in reservoir

(2013) Wei-Bo Chen et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Artificial neural network modelling of macrophyte indices based on physico-chemical characteristics of water

(2013) Daniel Gebler et al.   HYDROBIOLOGIA

A comparison of artificial neural networks and random forests to predict native fish species richness in Mediterranean rivers

(2013) E.J. Olaya-Marín et al.   Knowledge and Management of Aquatic Ecosystems

Modeling daily chlorophyll a dynamics in a German lowland river using artificial neural networks and multiple linear regression approaches

(2013) Naicheng Wu et al.   LIMNOLOGY

Modeling microalgal abundance with artificial neural networks: Demonstration of a heuristic ‘Grey-Box’ to deconvolve and quantify environmental influences

(2012) David F. Millie et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Three hundred ways to assess Europe's surface waters: An almost complete overview of biological methods to implement the Water Framework Directive

(2011) Sebastian Birk et al.   ECOLOGICAL INDICATORS

Response of aquatic plants to abiotic factors: a review

(2010) Gudrun Bornette et al.   AQUATIC SCIENCES

Towards harmonization of ecological quality classification: establishing common grounds in European macrophyte assessment for rivers

(2010) Sebastian Birk et al.   HYDROBIOLOGIA

Development of a River Macrophyte Index (RMI) for assessing river ecological status

(2010) Urška Kuhar et al.   LIMNOLOGICA

The European Water Framework Directive at the age of 10: A critical review of the achievements with recommendations for the future

(2010) Daniel Hering et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Artificial neural network modeling of the river water quality—A case study

(2009) Kunwar P. Singh et al.   ECOLOGICAL MODELLING

Distribution of aquatic macrophytes in contrasting river systems: A critique of compositional-based assessment of water quality

(2008) Benoît O.L. Demars et al.   SCIENCE OF THE TOTAL ENVIRONMENT