Jalal Shiri

According to our database, Jalal Shiri authored at least 15 papers between 2010 and 2023.

Collaborative distances:

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

2023

Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network coupled with wavelet transform.

Meysam Alizamir, Jalal Shiri, Ahmad Fakheri Fard, Sungwon Kim, Alireza Docheshmeh Gorgij, Salim Heddam, Vijay P. Singh

Eng. Appl. Artif. Intell., 2023

2020

Solar Radiation Estimation in Mediterranean Climate by Weather Variables Using a Novel Bayesian Model Averaging and Machine Learning Methods.

Özgür Kisi, Meysam Alizamir, Slavisa Trajkovic, Jalal Shiri, Sungwon Kim

Neural Process. Lett., 2020

Supplanting missing climatic inputs in classical and random forest models for estimating reference evapotranspiration in humid coastal areas of Iran.

Sepideh Karimi, Jalal Shiri, Pau Martí

Comput. Electron. Agric., 2020

2019

Data splitting strategies for improving data driven models for reference evapotranspiration estimation among similar stations.

Jalal Shiri, Pau Martí, Sepideh Karimi, Gorka Landeras

Comput. Electron. Agric., 2019

2017

Using soil easily measured parameters for estimating soil water capacity: Soft computing approaches.

Jalal Shiri, Ali Keshavarzi, Özgür Kisi, Sepideh Karimi

Comput. Electron. Agric., 2017

Modeling soil cation exchange capacity using soil parameters: Assessing the heuristic models.

Jalal Shiri, Ali Keshavarzi, Özgür Kisi, Ursula Iturrarán-Viveros, Ali Bagherzadeh, Seyed Rohollah Mousavi, Sepideh Karimi

Comput. Electron. Agric., 2017

2015

Independent testing for assessing the calibration of the Hargreaves-Samani equation: New heuristic alternatives for Iran.

Jalal Shiri, Ali Ashraf Sadraddini, Amir Hossein Nazemi, Pau Martí, Ahmad Fakheri Fard, Özgür Kisi, Gorka Landeras

Comput. Electron. Agric., 2015

A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm.

Özgür Kisi, Jalal Shiri, Sepideh Karimi, Shahaboddin Shamshirband, Shervin Motamedi, Dalibor Petkovic, Roslan Hashim

Appl. Math. Comput., 2015

2013

Predicting groundwater level fluctuations with meteorological effect implications - A comparative study among soft computing techniques.

Jalal Shiri, Özgür Kisi, Heesung Yoon, Kang-Kun Lee, Amir Hossein Nazemi

Comput. Geosci., 2013

Modeling rainfall-runoff process using soft computing techniques.

Özgür Kisi, Jalal Shiri, Mustafa Tombul

Comput. Geosci., 2013

Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia.

Sepideh Karimi, Özgür Kisi, Jalal Shiri, Oleg Makarynskyy

Comput. Geosci., 2013

2012

Forecasting daily lake levels using artificial intelligence approaches.

Özgür Kisi, Jalal Shiri, Bagher Nikoofar

Comput. Geosci., 2012

River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques.

Özgür Kisi, Jalal Shiri

Comput. Geosci., 2012

2011

Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations.

Jalal Shiri, Özgür Kisi

Comput. Geosci., 2011

2010

Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks.

Mohammad Ali Ghorbani, Rahman Khatibi, Ali Aytek, Oleg Makarynskyy, Jalal Shiri

Comput. Geosci., 2010