Yakov Pachepsky

According to our database, Yakov Pachepsky authored at least 15 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system.

Seok Min Hong, Ather Abbas, Soobin Kim, Do Hyuck Kwon, Nakyung Yoon, Daeun Yun, Sanguk Lee, Yakov Pachepsky, JongCheol Pyo, Kyung Hwa Cho

Environ. Model. Softw., October, 2023

2022

Correcting On-the-Go Field Measurement-Coordinate Mismatch by Minimizing Nearest Neighbor Difference.

Alfonso González Jiménez, Yakov Pachepsky, José Luis Gómez Flores, Mario Ramos Rodríguez, Karl Vanderlinden

Sensors, 2022

2021

Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms.

Matthew D. Stocker, Yakov A. Pachepsky, Robert L. Hill

Frontiers Artif. Intell., 2021

2020

Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water.

Geonwoo Kim, In-Suck Baek, Matthew D. Stocker, Jaclyn E. Smith, Andrew L. Van Tassell, Jianwei Qin, Diane E. Chan, Yakov Pachepsky, Moon S. Kim

Remote. Sens., 2020

2019

Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model.

Jong Cheol Pyo, Yakov A. Pachepsky, Minjeong Kim, Sang-Soo Baek, Hyuk Lee, YoonKyung Cha, Yongeun Park, Kyung Hwa Cho

Environ. Model. Softw., 2019

On the Information Content of Coarse Data with Respect to the Particle Size Distribution of Complex Granular Media: Rationale Approach and Testing.

Carlos García-Gutiérrez, Miguel Ángel Martín, Yakov Pachepsky

Entropy, 2019

2018

Capturing microbial sources distributed in a mixed-use watershed within an integrated environmental modeling workflow.

Gene Whelan, Keewook Kim, Rajbir Parmar, Gerard F. Laniak, Kurt Wolfe, Michael Galvin, Marirosa Molina, Yakov A. Pachepsky, Paul Duda, Richard Zepp, Lourdes Prieto, Julie L. Kinzelman, Gregory T. Kleinheinz, Mark A. Borchardt

Environ. Model. Softw., 2018

2017

Optimizing Semi-Analytical Algorithms for Estimating <i>Chlorophyll-a</i> and <i>Phycocyanin</i> Concentrations in Inland Waters in Korea.

Jong Cheol Pyo, Yakov Pachepsky, Sang-Soo Baek, YongSeong Kwon, Minjeong Kim, Hyuk Lee, Sanghyun Park, YoonKyung Cha, Rim Ha, Gibeom Nam, Yongeun Park, Kyung Hwa Cho

Remote. Sens., 2017

2016

Scale-Dependent Pedotransfer Functions Reliability for Estimating Saturated Hydraulic Conductivity.

Behzad Ghanbarian, Vahid Taslimitehrani, Yakov A. Pachepsky

CoRR, 2016

2015

Measurement Scale Effect on Prediction of Soil Water Retention Curve and Saturated Hydraulic Conductivity.

Behzad Ghanbarian, Vahid Taslimitehrani, Guozhu Dong, Yakov A. Pachepsky

CoRR, 2015

2014

An integrated environmental modeling framework for performing Quantitative Microbial Risk Assessments.

Gene Whelan, Keewook Kim, Mitch A. Pelton, Jeffrey A. Soller, Karl J. Castleton, Marirosa Molina, Yakov Pachepsky, Richard Zepp

Environ. Model. Softw., 2014

2010

Modelling solute transport in soil columns using advective-dispersive equations with fractional spatial derivatives.

F. San Jose Martinez, Yakov A. Pachepsky, Walter J. Rawls

Adv. Eng. Softw., 2010

2008

Software to estimate -33 and -1500kPa soil water retention using the non-parametric k-Nearest Neighbor technique.

Attila Nemes, R. T. Roberts, Walter J. Rawls, Yakov A. Pachepsky, Martinus Th. van Genuchten

Environ. Model. Softw., 2008

2002

Using GIS in passive microwave soil moisture mapping and geostatistical analysis.

Anna Oldak, Thomas J. Jackson, Yakov Pachepsky

Int. J. Geogr. Inf. Sci., 2002

2000

Predicting crop yields under climate change conditions from monthly GCM weather projection.

V. R. Reddy, Yakov A. Pachepsky

Environ. Model. Softw., 2000