相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Support vector machine in structural reliability analysis: A review
Atin Roy et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2023)
Integrated workflow for interpretation of satellite imageries using machine learning to assess and monitor algal blooms in Utah Lake, USA
Robert Davis et al.
ECOLOGICAL INFORMATICS (2023)
The impacts of climate change on thermal stratification and dissolved oxygen in the temperate, dimictic Mississippi Lake, Ontario
Mahtab Yaghouti et al.
ECOLOGICAL INFORMATICS (2023)
A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges
Haibo Yang et al.
REMOTE SENSING (2022)
A comprehensive review on algae removal and control by coagulation-based processes: mechanism, material, and application
Bangxing Ren et al.
SEPARATION AND PURIFICATION TECHNOLOGY (2022)
Sedimentary record of nutrients and sources of organic matter in the Shuanglong reservoir, Dianchi watershed, China
Zike Zhou et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)
Effects of algae proliferation and density current on the vertical distribution of odor compounds in drinking water reservoirs in summer
Tianhao Wu et al.
ENVIRONMENTAL POLLUTION (2021)
Multi-factor analysis of algal blooms in gate-controlled urban water bodies by data mining
Ke Li et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2021)
Quantitative PCR based detection system for cyanobacterial geosmin/2-methylisoborneol (2-MIB) events in drinking water sources: Current status and challenges
Apramita Devi et al.
WATER RESEARCH (2021)
Early warning of cyanobacterial blooms based on polarized light scattering powered by machine learning
Hongjian Wang et al.
MEASUREMENT (2021)
Ecological impacts of freshwater algal blooms on water quality, plankton biodiversity, structure, and ecosystem functioning
Cihelio Alves Amorim et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2021)
Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method
Jin Hwi Kim et al.
WATER RESEARCH (2021)
A Review of Recent Machine Learning Advances for Forecasting Harmful Algal Blooms and Shellfish Contamination
Rafaela C. Cruz et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2021)
Potential Temporal and Spatial Trends of Oceanographic Conditions with the Bloom of Ulva Prolifera in the West of the Southern Yellow Sea
Yufeng Pan et al.
REMOTE SENSING (2021)
Machine learning based marine water quality prediction for coastal hydro-environment management
Tianan Deng et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)
Feedback regulation of surface scum formation and persistence by self-shading of Microcystis colonies: Numerical simulations and laboratory experiments
Huaming Wu et al.
WATER RESEARCH (2021)
Delineating the relative contribution of climate related variables to chlorophyll-a and phytoplankton biomass in lakes using the ERAS-Land climate reanalysis data
Konstantinos Stefanidis et al.
WATER RESEARCH (2021)
A machine learning approach for early warning of cyanobacterial bloom outbreaks in a freshwater reservoir
Yongeun Park et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)
The involvement of α-proteobacteria Phenylobacterium in maintaining the dominance of toxic Microcystis blooms in Lake Taihu, China
Jun Zuo et al.
ENVIRONMENTAL MICROBIOLOGY (2021)
Harmful algal blooms: A climate change co-stressor in marine and freshwater ecosystems
Andrew W. Griffith et al.
HARMFUL ALGAE (2020)
Exploring temperature and precipitation impacts on harmful algal blooms across continental US lakes
Jeff C. Ho et al.
LIMNOLOGY AND OCEANOGRAPHY (2020)
Prediction of Algal Chlorophyll-a and Water Clarity in Monsoon-Region Reservoir Using Machine Learning Approaches
Md Mamun et al.
WATER (2020)
A systematic literature review of forecasting and predictive models for cyanobacteria blooms in freshwater lakes
Benny Zuse Rousso et al.
WATER RESEARCH (2020)
An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data
Yaohao Peng et al.
CHAOS SOLITONS & FRACTALS (2020)
The importance of the wind-drag coefficient parameterization for hydrodynamic modeling of a large shallow lake
Fang Chen et al.
ECOLOGICAL INFORMATICS (2020)
Interannual and Seasonal Shift between Microcystis and Dolichospermum: A 7-Year Investigation in Lake Chaohu, China
Min Zhang et al.
WATER (2020)
Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN
Salim Heddam et al.
JOURNAL OF HYDROLOGY (2020)
Algal blooms in a freshwater reservoir - A network community detection analysis of potential forcing parameters
Gerald R. Allen et al.
ECOLOGICAL INFORMATICS (2020)
Benefits of machine learning and sampling frequency on phytoplankton bloom forecasts in coastal areas
Jonathan Derot et al.
ECOLOGICAL INFORMATICS (2020)
Meteorological factors and water quality changes of Plateau Lake Dianchi in China (1990-2015) and their joint influences on cyanobacterial blooms
Jing-Han Wang et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Mapping of spatial and temporal variation of water characteristics through satellite remote sensing in Lake Panguipulli, Chile
Pirjo Huovinen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Alternate succession of aggregate-forming cyanobacterial genera correlated with their attached bacteria by co-pathways
Cong-Min Zhu et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Current Effects of Cyanobacteria Toxin in Water Sources and Containers in the Hartbeespoort Dam Area, South Africa
Matodzi Michael Mokoena et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2019)
Simulation of eutrophication in a reservoir by CE-QUAL-W2 for the evaluation of the importance of point sources and summer monsoon
Donghwan Kim et al.
LAKE AND RESERVOIR MANAGEMENT (2019)
Comparison of Methods to Estimate Lake-Surface-Water Temperature Using Landsat 7 ETM+ and MODIS Imagery: Case Study of a Large Shallow Subtropical Lake in Southern Brazil
Matheus Henrique Tavares et al.
WATER (2019)
Application of feature selection and regression models for chlorophyll-a prediction in a shallow lake
Xue Li et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2018)
Succession and toxicity of Microcystis and Anabaena (Dolichospermum) blooms are controlled by nutrient-dependent allelopathic interactions
Mathias A. Chia et al.
HARMFUL ALGAE (2018)
Colony formation in two Microcystis morphotypes: Effects of temperature and nutrient availability
Zhipeng Duan et al.
HARMFUL ALGAE (2018)
Spatiotemporal Changes of Cyanobacterial Bloom in Large Shallow Eutrophic Lake Taihu, China
Boqiang Qin et al.
FRONTIERS IN MICROBIOLOGY (2018)
Predicting cyanobacterial abundance, microcystin, and geosmin in a eutrophic drinking-water reservoir using a 14-year dataset
Ted D. Harris et al.
LAKE AND RESERVOIR MANAGEMENT (2017)
Eutrophication will increase during the 21st century as a result of precipitation changes
E. Sinha et al.
SCIENCE (2017)
A new approach for the estimation of phytoplankton cell counts associated with algal blooms
Majid Nazeer et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2017)
Monitoring spatiotemporal variations in nutrients in a large drinking water reservoir and their relationships with hydrological and meteorological conditions based on Landsat 8 imagery
Yuan Li et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2017)
Consensus methods based on machine learning techniques for marine phytoplankton presence-absence prediction
M. Bourel et al.
ECOLOGICAL INFORMATICS (2017)
Identifying the factors determining blooms of cyanobacteria in a set of shallow lakes
J. -P. Descy et al.
ECOLOGICAL INFORMATICS (2016)
Artificial neural network approach to population dynamics of harmful algal blooms in Alfacs Bay (NW Mediterranean): Case studies of Karlodinium and Pseudo-nitzschia
Caries Guallar et al.
ECOLOGICAL MODELLING (2016)
Health impacts from cyanobacteria harmful algae blooms: Implications for the North American Great Lakes
Wayne W. Carmichael et al.
HARMFUL ALGAE (2016)
A review of monitoring technologies for real-time management of cyanobacteria: Recent advances and future direction
Arash Zamyadi et al.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2016)
Multivariate statistical analysis of water chemistry conditions in three wastewater stabilization ponds with algae blooms and pH fluctuations
Jack Wallace et al.
WATER RESEARCH (2016)
Towards better environmental software for spatio-temporal ecological models: Lessons from developing an intelligent system supporting phytoplankton prediction in lakes
Jiacong Huang et al.
ECOLOGICAL INFORMATICS (2015)
Harmful algal blooms and climate change: Learning from the past and present to forecast the future
Mark L. Wells et al.
HARMFUL ALGAE (2015)
Nutrient limitation dynamics examined on a multi-annual scale in Lake Taihu, China: implications for controlling eutrophication and harmful algal blooms
Hans W. Paerl et al.
JOURNAL OF FRESHWATER ECOLOGY (2015)
Comparing various artificial neural network types for water temperature prediction in rivers
Adam P. Piotrowski et al.
JOURNAL OF HYDROLOGY (2015)
Outlier-robust extreme learning machine for regression problems
Kai Zhang et al.
NEUROCOMPUTING (2015)
Effect of temperature and light on the growth of algae species: A review
S. P. Singh et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)
Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea
Yongeun Park et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2015)
Learning-Based Algal Bloom Event Recognition for Oceanographic Decision Support System Using Remote Sensing Data
Weilong Song et al.
REMOTE SENSING (2015)
Human Illnesses and Animal Deaths Associated with Freshwater Harmful Algal Blooms-Kansas
Ingrid Trevino-Garrison et al.
TOXINS (2015)
Distribution and incidence of algal blooms in Lake Taihu
Hongtao Duan et al.
AQUATIC SCIENCES (2015)
Real-time observation, early warning and forecasting phytoplankton blooms by integrating in situ automated online sondes and hybrid evolutionary algorithms
Lin Ye et al.
ECOLOGICAL INFORMATICS (2014)
Numerical modeling of the Xiangxi River algal bloom and sediment-related process in China
Li Jian et al.
ECOLOGICAL INFORMATICS (2014)
Identification of algal blooms based on support vector machine classification in Haizhou Bay, East China Sea
Yong Xu et al.
ENVIRONMENTAL EARTH SCIENCES (2014)
Physical and biological controls of algal blooms in the Rio de la Plata
Cristina P. Silva et al.
ENVIRONMENTAL FLUID MECHANICS (2014)
A review on applications of ANN and SVM for building electrical energy consumption forecasting
A. S. Ahmad et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
Document-level sentiment classification: An empirical comparison between SVM and ANN
Rodrigo Moraes et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Toxin-producing cyanobacteria in freshwater: A review of the problems, impact on drinking water safety, and efforts for protecting public health
Melissa Y. Cheung et al.
JOURNAL OF MICROBIOLOGY (2013)
Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions
Anna M. Michalak et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)
A tutorial on the Lasso approach to sparse modeling
Morten Arendt Rasmussen et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2012)
Freshwater Algal Bloom Prediction by Support Vector Machine in Macau Storage Reservoirs
Zhengchao Xie et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2012)
Prediction of algal blooming using EFDC model: Case study in the Daoxiang Lake
Guozheng Wu et al.
ECOLOGICAL MODELLING (2011)
The effects of temperature and nutrient ratios on Microcystis blooms in Lake Taihu, China: An 11-year investigation
Xia Liu et al.
HARMFUL ALGAE (2011)
Temporal and spatial distribution of harmful algal bloom (HAB) species in coastal waters of Kota Kinabalu, Sabah, Malaysia
Aimimuliani Adam et al.
HARMFUL ALGAE (2011)
Controlling harmful cyanobacterial blooms in a hyper-eutrophic lake (Lake Taihu, China): The need for a dual nutrient (N & P) management strategy
Hans W. Paerl et al.
WATER RESEARCH (2011)
The effects of temperature and nutrients on the growth and dynamics of toxic and non-toxic strains of Microcystis during cyanobacteria blooms
Timothy W. Davis et al.
HARMFUL ALGAE (2009)
A systematic analysis of performance measures for classification tasks
Marina Sokolova et al.
INFORMATION PROCESSING & MANAGEMENT (2009)
The use of phytoplankton patterns of diversity for algal bloom management
Guillermo Chalar
LIMNOLOGICA (2009)
Process-based simulation library SALMO-OO for lake ecosystems. Part 1: Object-oriented implementation and validation
Friedrich Recknagel et al.
ECOLOGICAL INFORMATICS (2008)
Rule-based agents for forecasting algal population dynamics in freshwater lakes discovered by hybrid, evolutionary algorithms
Amber Welk et al.
ECOLOGICAL INFORMATICS (2008)
Process-based simulation library SALMO-OO for lake ecosystems. Part 2: Multi-objective parameter optimization by evolutionary algorithms
Hongqing Cao et al.
ECOLOGICAL INFORMATICS (2008)
A comparative study on predicting algae blooms in Douro River, Portugal
Rita Ribeiro et al.
ECOLOGICAL MODELLING (2008)
Harmful algal blooms and eutrophication: Examining linkages from selected coastal regions of the United States
Donald M. Anderson et al.
HARMFUL ALGAE (2008)
Eutrophication and harmful algal blooms: A scientific consensus
J. Heisler et al.
HARMFUL ALGAE (2008)
Top 10 algorithms in data mining
Xindong Wu et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2008)
Wind speed influence on phytoplankton bloom dynamics in the southern ocean marginal ice zone
Dillon T. Fitch et al.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2007)
Prediction and elucidation of the population dynamics of Microcystis spp. in Lake Dianchi (China) by means of artificial neural networks
Hongbin Li et al.
ECOLOGICAL INFORMATICS (2007)
Machine-learning paradigms for selecting ecologically significant input variables
Nitin Muttil et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2007)
A decision support system based on support vector machines for diagnosis of the heart valve diseases
Emre Comak et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2007)
River phytoplankton prediction model by Artificial Neural Network: Model performance and selection of input variables to predict time-series phytoplankton proliferations in a regulated river system
Kwang-Seuk Jeong et al.
ECOLOGICAL INFORMATICS (2006)
Unravelling and forecasting algal population dynamics in two lakes different in morphometry and eutrophication by neural and evolutionary computation
Friedrich Recknagel et al.
ECOLOGICAL INFORMATICS (2006)
Water-air temperature relationships in a Devon river system and the role of flow
BW Webb et al.
HYDROLOGICAL PROCESSES (2003)
Robust support vector regression networks for function approximation with outliers
CC Chuang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)
The ecological basis for simulating phytoplankton responses to environmental change (PROTECH)
CS Reynolds et al.
ECOLOGICAL MODELLING (2001)
Use of automatic relevance determination in QSAR studies using Bayesian neural networks
FR Burden et al.
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2000)
分享论文
