E-LIB Suche - Ergebnisse für: Nejadhashemi, Amir

1

Bayesian Regression and Neuro-Fuzzy Methods Reliability Ass..:

Hamaamin, Yaseen ; Nejadhashemi, Amir ; Zhang, Zhen..
Water. 8 (2016) 7 - p. 287 , 2016

2

Harnessing Machine Learning Techniques for Mapping Aquacult..:

Ferriby, Hannah ; Nejadhashemi, Amir Pouyan ; Hernandez-Suarez, Juan Sebastian...
Remote Sensing. 13 (2021) 23 - p. 4890 , 2021

Link: https://doi.org/10.3390/..

3

Case study: Fixture water use and drinking water quality in..:

Salehi, Maryam ; Abouali, Mohammad ; Wang, Mian...
Chemosphere. 195 (2018) - p. 80-89 , 2018

Link: https://doi.org/10.1016/..

4

Selection of the Best Water Supply Scenario for Urban Deman..:

, In: New Trends in Urban Drainage Modelling; Green Energy and Technology,

Sabbaghian, Reza Javidi ; Nejadhashemi, Amir Pouyan - p. 942-947 , 2018

Link: https://doi.org/10.1007/..

5

Response of benthic macroinvertebrate communities to climat..:

Daneshvar, Fariborz ; Nejadhashemi, Amir Pouyan ; Herman, Matthew R..
Ecohydrology & Hydrobiology. 17 (2017) 1 - p. 63-72 , 2017

Link: https://doi.org/10.1016/..

6

A review of macroinvertebrate- and fish-based stream health..:

Herman, Matthew R. ; Nejadhashemi, Amir Pouyan
Ecohydrology & Hydrobiology. 15 (2015) 2 - p. 53-67 , 2015

Link: https://doi.org/10.1016/..

7

Hydrograph Separation by Incorporating Climatological Facto..:

Nejadhashemi, Amir P. ; Sheridan, Joseph M. ; Shirmohammadi, Adel.
JAWRA Journal of the American Water Resources Association. 43 (2007) 3 - p. 744-756 , 2007

Link: https://doi.org/10.1111/..

8

Harnessing Machine Learning to Estimate Aquaculture's Contr..:

Belton, Benjamin ; Haque, Mohammad Mahfujul ; Ali, Hazrat...
Belton, B., Haque, M. M., Ali, H., Nejadhashemi, A. P., Hernandez, R. A., Khondker, M. and Ferriby, H. 2022. Harnessing Machine Learning to Estimate Aquaculture's Contributions to the Economy of Southwest Bangladesh. Paper abstract submitted to the World Aquaculture Society, Singapore, 1 December 2022. , 2023

Link: https://hdl.handle.net/1..

9

Harnessing Machine Learning to Estimate Aquaculture's Contr..:

Belton, Benjamin ; Haque, Mohammad Mahfujul ; Ali, Hazrat...
Belton, B., Haque, M.M., Ali, H., Nejadhashemi, A.P., Hernandez, R.A., Khondker, M. and Ferriby, H. 2022. Harnessing Machine Learning to Estimate Aquaculture's Contributions to the Economy of Southwest Bangladesh. Presented at World Aquaculture Society, Singapore, 1 December 2022. Penang, Malaysia: WorldFish.. , 2023

Link: https://hdl.handle.net/1..

10

Using a BMP Auction as a Tool for the Implementation of Con..:

Smith, Craig M ; Nejadhashemi, Amir P ; Leatherman, John C
https://tigerprints.clemson.edu/joe/vol47/iss4/7. , 2009

Link: https://tigerprints.clem..

11

Bayesian Regression and Neuro-Fuzzy Methods Reliability Ass..:

Yaseen Hamaamin ; Amir Nejadhashemi ; Zhen Zhang..
https://dx.doi.org/10.3390/w8070287. , 2016

Link: https://doi.org/10.3390/..

12

Harnessing Machine Learning Techniques for Mapping Aquacult..:

Hannah Ferriby ; Amir Pouyan Nejadhashemi ; Juan Sebastian Hernandez-Suarez...
https://dx.doi.org/10.3390/rs13234890. , 2021

Link: https://doi.org/10.3390/..

13

Harnessing Machine Learning Techniques for Mapping Aquacult..:

Hannah Ferriby ; Amir Pouyan Nejadhashemi ; Juan Sebastian Hernandez-Suarez...
https://www.mdpi.com/2072-4292/13/23/4890. , 2021

Link: https://doi.org/10.3390/..

14

Bayesian Regression and Neuro-Fuzzy Methods Reliability Ass..:

Yaseen A. Hamaamin ; Amir Pouyan Nejadhashemi ; Zhen Zhang..
http://www.mdpi.com/2073-4441/8/7/287. , 2016

Link: https://doi.org/10.3390/..