关注
Peyman Hosseinzadeh Namadi
Peyman Hosseinzadeh Namadi
California Department of Water Resources
在 water.ca.gov 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Modeling and forecasting Vibrio parahaemolyticus concentrations in oysters
P Namadi, Z Deng
Water Research 189, 116638, 2021
142021
Optimum environmental conditions controlling prevalence of vibrio parahaemolyticus in marine environment
P Namadi, Z Deng
Marine Environmental Research 183, 105828, 2023
102023
Multi-location emulation of a process-based salinity model using machine learning
S Qi, M He, Z Bai, Z Ding, P Sandhu, Y Zhou, P Namadi, B Tom, R Hoang, ...
Water 14 (13), 2030, 2022
102022
Novel Salinity Modeling Using Deep Learning for the Sacramento–San Joaquin Delta of California
S Qi, M He, Z Bai, Z Ding, P Sandhu, F Chung, P Namadi, Y Zhou, ...
Water 14 (22), 3628, 2022
92022
The numerical investigation of the effect of subsequent check dams on flood peaks and the time of concentration using the MIKE ll modeling system (Case study: Golabdareh …
PH Namadi, B Saghafian
CRC Press, 1745-1750, 2014
82014
Salinity Modeling Using Deep Learning with Data Augmentation and Transfer Learning
S Qi, M He, R Hoang, Y Zhou, P Namadi, B Tom, P Sandhu, Z Bai, ...
Water 15 (13), 2482, 2023
42023
Deep learning-based ensemble modeling of Vibrio parahaemolyticus concentration in marine environment
P Namadi, Z Deng
Environmental Monitoring and Assessment 195 (1), 229, 2023
42023
Salinity-constituent conversion in South Sacramento-San Joaquin Delta of California via machine learning
P Namadi, M He, P Sandhu
Earth Science Informatics, 1-16, 2022
32022
Physics-Informed Neural Networks-Based Salinity Modeling in the Sacramento–San Joaquin Delta of California
DM Roh, M He, Z Bai, P Sandhu, F Chung, Z Ding, S Qi, Y Zhou, R Hoang, ...
Water 15 (13), 2320, 2023
22023
Modeling ion constituents in the Sacramento-San Joaquin Delta using multiple machine learning approaches
P Namadi, M He, P Sandhu
Journal of Hydroinformatics 25 (6), 2541-2560, 2023
12023
Forecasting Vibrio Parahaemolyticus Outbreak Risks in Marine Environment
Z Deng, PH Namadi
AGU Fall Meeting Abstracts 2020, GH022-07, 2020
2020
Development of Artificial Intelligence Approach to Nowcasting and Forecasting Vibrio Prevalence in Coastal Waters
PH Namadi
Louisiana State University and Agricultural & Mechanical College, 2020
2020
Development of Artificial Intelligence Approach to Nowcasting and Forecasting Vibrio Prevalence in Coastal Waters
P Hosseinzadeh Namadi
2020
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