S. Karimi
Publications
55
h-index
16
Citations
651
Highly Influential Citations
19
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Optimization solar site selection by fuzzy logic model and weighted linear combination method in arid and semi-arid region: A case study Isfahan-IRAN
M. Zoghi, A. Ehsani, Mahdis Sadat, M. Amiri, S. Karimi
Engineering
1 February 2017
Renewable energy will play a crucial role in the future society of the 21st century. In this way, solar energy, which can be converted into usable energy by solar panels, is known as the most… Expand
92 Citations
5
Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia
S. Karimi, Ö. Kisi, J. Shiri, O. Makarynskyy
Mathematics, Computer ScienceComput. Geosci.
1 March 2013
TLDR
Multi linear regression technique was used for selecting the optimal input combinations (lag times) of hourly sea level and results indicated that triangular membership function was optimal for predictions with the ANFIS models while adaptive learning rate and Levenberg-Marquardt were most suitable for training the ANN models.Expand
83 Citations
4
PDF
A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm
Ö. Kisi, J. Shiri, +4 authors R. Hashim
Computer ScienceAppl. Math. Comput.
1 November 2015
TLDR
The experimental results showed that an improvement in the predictive accuracy and capability of generalization can be achieved by the SVM-FA approach in comparison to the GP and ANN in 1 day ahead lake level forecast. Expand
68 Citations
2
PDF
A SWOT framework for analyzing the electricity supply chain using an integrated AHP methodology combined with fuzzy-TOPSIS
K. Zare, Javad Mehri-Tekmeh, S. Karimi
Business
1 June 2015
ABSTRACT Supply chain refers to the integrated chain of organizations, loops, persons who are involving in stuff generation and costumer servicing. One of these services is the electricity which can… Expand
31 Citations
2
Modeling soil cation exchange capacity using soil parameters: Assessing the heuristic models
J. Shiri, A. Keshavarzi, +4 authors S. Karimi
Engineering, Computer Science
Comput. Electron. Agric.
1 April 2017
TLDR
The obtained results revealed that the performance of the applied models fluctuated throughout the test stages and between two sites, so a reliable assessment of the model should consider a complete scan of the utilized data set, which will be a good option for preventing partially valid conclusions obtained from assessing the models based on a simple data set assignment.Expand
33 Citations
1
Data splitting strategies for improving data driven models for reference evapotranspiration estimation among similar stations
J. Shiri, P. Martí, S. Karimi, G. Landeras
Computer ScienceComput. Electron. Agric.
1 July 2019
TLDR
Evaluating new different data set splitting strategies based on the adoption of ancillary external inputs for enhancing the performance of the Gene Expression Programming- based models for estimating ETo shows that it is preferable to incorporate the external target variable as input to feed the new model, rather than to incorporated the original external input variables of the model. Expand
21 Citations
1
Forecasting Water Level Fluctuations of Urmieh Lake Using Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System
S. Karimi, J. Shiri, O. Kisi, O. Makarynskyy
Computer Science
1 June 2012
TLDR
Two data driven techniques, namely Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System, were applied for predicting daily lake levels for three prediction intervals, demonstrating superiority of the data driven models to ARMA.Expand
20 Citations
1
Three Different Adaptive Neuro Fuzzy Computing Techniques for Forecasting Long-Period Daily Streamflows
O. Kisi, J. Shiri, S. Karimi, R. Adnan
Computer Science
2018
TLDR
A modeling study was presented here using three different adaptive neuro-fuzzy approach algorithms comprising grid partitioning, subtractive clustering and fuzzy C-Means clustering for forecasting long period daily streamflow magnitudes and it was observed that the ANFIS-FCM generally gave the most accurate results among others. Expand
23 Citations
1
Modeling soil bulk density through a complete data scanning procedure: Heuristic alternatives
J. Shiri, A. Keshavarzi, O. Kisi, S. Karimi, U. Iturrarán-Viveros
Mathematics
1 June 2017
Abstract Soil bulk density (BD) is very important factor in land drainage and reclamation, irrigation scheduling (for estimating the soil volumetric water content), and assessing soil carbon and… Expand
24 Citations
1
Augmenting Downhole Seismic Networks with Surface Sensors to Monitor Hydraulic Fracture Stimulations for Accurate Hazard Assessment and Full Bandwidth Assessment of Scaling Relationships for Discrete
A. Baig, G. Viegas, S. Karimi, T. Urbancic
Geology
17 March 2013
An array of 4.5 Hz geophone and FBAs recorded a sequence of seismicity during a hydraulic fracture stimualtion that culminated in a couple ~M3 events. These sensors record accelerations and… Expand
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