Roohollah Noori

发表

Artificial Neural Networks and Regression Analysis for Predicting Faulting in Jointed Concrete Pavements Considering Base Condition

Abolfazl Hassani, Behrooz Saghafi, Roohollah Noori, 2009 .

Retraction notice to "Results uncertainty of solid waste generation forecasting by hybrid of wavelet transform-ANFIS and wavelet transform-neural network"

Mohammad Ali Abdoli, Roohollah Noori, Ashkan Farokhnia, 2016, Expert Syst. Appl..

Reliable prediction of carbon monoxide using developed support vector machine

Bijan Yeganeh, Roohollah Noori, Saber Moazami, 2016 .

Evaluation of PCA and Gamma test techniques on ANN operation for weekly solid waste prediction.

Roohollah Noori, Abdulreza Karbassi, Mohammad Salman Sabahi, 2010, Journal of environmental management.

Granular Computing for Prediction of Scour Below Spillways

Jan Adamowski, Farhad Hooshyaripor, Roohollah Noori, 2016, Water Resources Management.

Development and application of reduced‐order neural network model based on proper orthogonal decomposition for BOD5 monitoring in river systems: Uncertainty analysis

Khosro Ashrafi, Abdolreza Karbassi, Roohollah Noori, 2013 .

Uncertainty analysis of support vector machine for online prediction of five-day biochemical oxygen demand

Maryam Abbasi, Hund-Der Yeh, Roohollah Noori, 2015 .

Implications of capacity expansion under uncertainty in oil industry

Roohollah Noori, S. A. MirHassani, 2011 .

Effective prediction of scour downstream of ski-jump buckets using artificial neural networks

Farhad Hooshyaripor, Roohollah Noori, R. Noori, 2014, Water Resources.

Comparison of ANN and principal component analysis-multivariate linear regression models for predicting the river flow based on developed discrepancy ratio statistic

Babak Omidvar, Roohollah Noori, Ashkan Farokhnia, 2010, Expert Syst. Appl..

Predicting the Longitudinal Dispersion Coefficient Using Support Vector Machine and Adaptive Neuro-Fuzzy Inference System Techniques

Majid Dehghani, Roohollah Noori, Ashkan Farokhnia, 2009 .

How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?

Zhiqiang Deng, Roohollah Noori, Amin Kiaghadi, 2016 .

Prediction of municipal solid waste generation with combination of support vector machine and principal component analysis: A case study of Mashhad

Mohammad Ali Abdoli, Roohollah Noori, M. Jalili Ghazizade, 2009 .

Results uncertainty of solid waste generation forecasting by hybrid of wavelet transform-ANFIS and wavelet transform-neural network

Maryam Abbasi, Mohammad Ali Abdoli, Roohollah Noori, 2009, Expert Syst. Appl..

Reliability of functional forms for calculation of longitudinal dispersion coefficient in rivers.

Rabin Bhattarai, Farhad Hooshyaripor, Ali Mirchi, 2021, The Science of the total environment.

A comprehensive uncertainty analysis of model-estimated longitudinal and lateral dispersion coefficients in open channels

Mohammad Najafzadeh, Seyed-Mohammad Hosseini-Moghari, Ali Mirchi, 2021 .

A simple mathematical model to predict sea surface temperature over the northwest Indian Ocean

Jan Adamowski, Majid Dehghani, Roohollah Noori, 2017 .

Estimation of the Dispersion Coefficient in Natural Rivers Using a Granular Computing Model

Jan Adamowski, Roohollah Noori, Hossien Sheikhian, 2017 .

Chemometric Analysis of Surface Water Quality Data: Case Study of the Gorganrud River Basin, Iran

Roohollah Noori, Abdulreza Karbassi, Amir Khakpour, 2012, Environmental Modeling & Assessment.

Uncertainty analysis of developed ANN and ANFIS models in prediction of carbon monoxide daily concentration

Babak Nadjar Araabi, Khosro Ashrafi, Roohollah Noori, 2010 .

A reduced-order adaptive neuro-fuzzy inference system model as a software sensor for rapid estimation of five-day biochemical oxygen demand

Roohollah Noori, Salman Safavi, R. Noori, 2013 .

Development and application of reduced‐order neural network model based on proper orthogonal decomposition for BOD5 monitoring: Active and online prediction

Roohollah Noori, Naser Mehrdadi, A. R. Karbassi, 2013 .

Active and online prediction of BOD5 in river systems using reduced-order support vector machine

Khosro Ashrafi, Roohollah Noori, Abdulreza Karbassi, 2012, Environmental Earth Sciences.

Evolutionary polynomial regression approach to predict longitudinal dispersion coefficient in rivers

Ronny Berndtsson, Roohollah Noori, Behzad Ghiasi, 2018, Journal of Water Supply: Research and Technology - Aqua.