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Single and competitive adsorptions of micropollutants using pristine and alkali-modified biochars from spent coffee grounds

Journal of hazardous materials, 2020-12, Vol.400, p.123102-123102, Article 123102

2020

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Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities

Water research (Oxford), 2016-09, Vol.100, p.38-56

2016

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Effects of physicochemical properties of biochar derived from spent coffee grounds and commercial activated carbon on adsorption behavior and mechanisms of strontium ions (Sr2+)

Environmental science and pollution research international, 2021-08, Vol.28 (30), p.40623-40632

2021

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Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea

Journal of environmental quality, 2018-09, Vol.47 (5), p.1094-1102

2018

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Adsorption of radioactive strontium by pristine and magnetic biochars derived from spent coffee grounds

Journal of environmental chemical engineering, 2021-04, Vol.9 (2), p.105119, Article 105119

2021

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Evaluation of Sentinel-2 Based Chlorophyll-a Estimation in a Small-Scale Reservoir: Assessing Accuracy and Availability

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (2), p.315

2024

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Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir

International journal of applied earth observation and geoinformation, 2022-11, Vol.114, p.103053, Article 103053

2022

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Enhanced Degradation of Pharmaceutical Compounds by a Microbubble Ozonation Process: Effects of Temperature, pH, and Humic Acids

Energies (Basel), 2019-11, Vol.12 (22), p.4373

2019

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Evaluation of the Best Management Practices for Reducing Phosphorus Load in a Watershed in Terms of Cost and Greenhouse Gas Emissions

Agronomy (Basel), 2024-05, Vol.14 (5), p.906

2024

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High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery

Remote sensing (Basel, Switzerland), 2018-08, Vol.10 (8), p.1180

2018

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Optimal Band Selection for Airborne Hyperspectral Imagery to Retrieve a Wide Range of Cyanobacterial Pigment Concentration Using a Data-Driven Approach

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (7), p.1754

2022

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Saturated Hydraulic Conductivity of US Soils Grouped According to Textural Class and Bulk Density

Soil Science Society of America journal, 2015-07, Vol.79 (4), p.1094-1100

2015

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Machine Learning-Based Early Warning Level Prediction for Cyanobacterial Blooms Using Environmental Variable Selection and Data Resampling

Toxics (Basel), 2023-11, Vol.11 (12), p.955

2023

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Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea

Remote sensing (Basel, Switzerland), 2017-06, Vol.9 (6), p.542

2017

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Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning Models

Water (Basel), 2018-08, Vol.10 (8), p.1020

2018

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Modeling the Fate and Transport of Malathion in the Pagsanjan-Lumban Basin, Philippines

Water (Basel), 2017-06, Vol.9 (7), p.451

2017

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Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea

The Science of the total environment, 2015-01, Vol.502, p.31-41

2015

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Competitive adsorption of pharmaceuticals in lake water and wastewater effluent by pristine and NaOH-activated biochars from spent coffee wastes: Contribution of hydrophobic and π-π interactions

Environmental pollution (1987), 2021-02, Vol.270, p.116244, Article 116244

2021

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Evaluation of the relationship between two different methods for enumeration fecal indicator bacteria： Colony-forming unit and most probable number

Journal of environmental sciences (China), 2010-01, Vol.22 (6), p.846-850

2010

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Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir

Remote sensing of environment, 2020-01, Vol.236, p.111517, Article 111517

2020

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Survival of Manure‐borne Escherichia coli and Fecal Coliforms in Soil: Temperature Dependence as Affected by Site‐Specific Factors

Journal of environmental quality, 2016-05, Vol.45 (3), p.949-957

2016

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A study on reducing image-sticking artifacts in wide-screen TFT-LCD monitors

Journal of the Society for Information Display, 2007-11, Vol.15 (11), p.969-973

2007

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Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method

Water research (Oxford), 2021-12, Vol.207, p.117821-117821, Article 117821

2021

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Assessment of a green roof practice using the coupled SWMM and HYDRUS models

Journal of environmental management, 2020-05, Vol.261, p.109920-109920, Article 109920

2020

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Highly selective recovery of phosphate ions using a novel carbonaceous adsorbent synthesized via co-pyrolysis of spent coffee grounds and steel slags: A potential phosphatic fertilizer

Chemical engineering journal (Lausanne, Switzerland : 1996), 2023-01, Vol.451, p.138978, Article 138978

2023

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Single and competitive adsorptions of micropollutants using pristine and alkali-modified biochars from spent coffee grounds

Modeling fate and transport of fecally-derived microorganisms at the watershed scale: State of the science and future opportunities

Effects of physicochemical properties of biochar derived from spent coffee grounds and commercial activated carbon on adsorption behavior and mechanisms of strontium ions (Sr2+)

Development of a Nowcasting System Using Machine Learning Approaches to Predict Fecal Contamination Levels at Recreational Beaches in Korea

Adsorption of radioactive strontium by pristine and magnetic biochars derived from spent coffee grounds

Evaluation of Sentinel-2 Based Chlorophyll-a Estimation in a Small-Scale Reservoir: Assessing Accuracy and Availability

Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir

Enhanced Degradation of Pharmaceutical Compounds by a Microbubble Ozonation Process: Effects of Temperature, pH, and Humic Acids

Evaluation of the Best Management Practices for Reducing Phosphorus Load in a Watershed in Terms of Cost and Greenhouse Gas Emissions

High-Spatial Resolution Monitoring of Phycocyanin and Chlorophyll-a Using Airborne Hyperspectral Imagery

Optimal Band Selection for Airborne Hyperspectral Imagery to Retrieve a Wide Range of Cyanobacterial Pigment Concentration Using a Data-Driven Approach

Saturated Hydraulic Conductivity of US Soils Grouped According to Textural Class and Bulk Density

Machine Learning-Based Early Warning Level Prediction for Cyanobacterial Blooms Using Environmental Variable Selection and Data Resampling

Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea

Monitoring Coastal Chlorophyll-a Concentrations in Coastal Areas Using Machine Learning Models

Modeling the Fate and Transport of Malathion in the Pagsanjan-Lumban Basin, Philippines

Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea

Competitive adsorption of pharmaceuticals in lake water and wastewater effluent by pristine and NaOH-activated biochars from spent coffee wastes: Contribution of hydrophobic and π-π interactions

Evaluation of the relationship between two different methods for enumeration fecal indicator bacteria： Colony-forming unit and most probable number

Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir

Survival of Manure‐borne Escherichia coli and Fecal Coliforms in Soil: Temperature Dependence as Affected by Site‐Specific Factors

A study on reducing image-sticking artifacts in wide-screen TFT-LCD monitors

Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method

Assessment of a green roof practice using the coupled SWMM and HYDRUS models

Highly selective recovery of phosphate ions using a novel carbonaceous adsorbent synthesized via co-pyrolysis of spent coffee grounds and steel slags: A potential phosphatic fertilizer

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