D. Petkovic
Publications
238
h-index
42
Citations
5,510
Highly Influential Citations
90
Claim Author Page
Author pages are created from data sourced from our academic publisher partnerships and public sources.
Publications
Influence
We’re testing a new way to view lists of papers.
Try Semantic Swipe
Soft computing approaches for forecasting reference evapotranspiration
M. Gocić, S. Motamedi, +4 authors Muhammad Arif
Engineering, Computer Science
Comput. Electron. Agric.
1 April 2015
TLDR
SVM-Wavelet model was found to perform better than the GP, SVM-FFA and ANN models and have higher correlation coefficient as compared to ANN and GP computational methods.Expand
95 Citations
5
PDF
A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation
Kasra Mohammadi, S. Shamshirband, C. W. Tong, Muhammad Arif, D. Petkovic, Sudheer Ch
Mathematics
1 March 2015
In this paper, a new hybrid approach by combining the Support Vector Machine (SVM) with Wavelet Transform (WT) algorithm is developed to predict horizontal global solar radiation. The predictions are… Expand
160 Citations
5
PDF
A support vector machine–firefly algorithm-based model for global solar radiation prediction
L. Olatomiwa, S. Mekhilef, Shahaboddin Shamshirband, Kasra Mohammadi, D. Petkovic, C. Sudheer
Mathematics
1 May 2015
In this paper, the accuracy of a hybrid machine learning technique for solar radiation prediction based on some meteorological data is examined. For this aim, a novel method named as SVM–FFA is… Expand
196 Citations
5
PDF
Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria
L. Olatomiwa, S. Mekhilef, Shahaboddin Shamshirband, D. Petkovic
Mathematics
1 November 2015
In this paper, the accuracy of a soft computing technique is investigated for predicting solar radiation based on a series of measured meteorological data: monthly mean minimum temperature and,… Expand
107 Citations
5
Co-FAIS: Cooperative fuzzy artificial immune system for detecting intrusion in wireless sensor networks
Shahaboddin Shamshirband, N. B. Anuar, +4 authors Abdul Nasir Khan
Computer ScienceJ. Netw. Comput. Appl.
1 June 2014
TLDR
The proposed cooperative-based fuzzy artificial immune system (Co-FAIS) improves detection accuracy and successful defense rate performance against attacks compared to conventional empirical methods.Expand
86 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
67 Citations
3
PDF
Support vector regression based prediction of global solar radiation on a horizontal surface
Kasra Mohammadi, Shahaboddin Shamshirband, M. Anisi, Khubaib Amjad Alam, D. Petkovic
Mathematics
1 February 2015
Abstract In this paper, the support vector regression (SVR) methodology was adopted to estimate the horizontal global solar radiation (HGSR) based upon sunshine hours ( n ) and maximum possible… Expand
121 Citations
3
PDF
Extreme learning machine based prediction of daily dew point temperature
Kasra Mohammadi, Shahaboddin Shamshirband, S. Motamedi, D. Petkovic, R. Hashim, M. Gocić
Engineering, Computer Science
Comput. Electron. Agric.
1 September 2015
TLDR
The study results convincingly advocate that ELM can be employed as an efficient method to predict daily dew point temperature with much higher precision than the SVM and ANN techniques. Expand
67 Citations
3
PDF
Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation
D. Petkovic, Ž. Ćojbašić, V. Nikolic
Engineering
1 December 2013
Wind energy has become a large contender of traditional fossil fuel energy, particularly with the successful operation of multi-megawatt sized wind turbines. However, reasonable wind speed is not… Expand
129 Citations
3
PDF
Predicting the wind power density based upon extreme learning machine
Kasra Mohammadi, Shahaboddin Shamshirband, Por Lip Yee, D. Petkovic, M. Zamani, Sudheer Ch
Engineering
15 June 2015
Precise predictions of wind power density play a substantial role in determining the viability of wind energy harnessing. In fact, reliable prediction is particularly useful for operators and… Expand
64 Citations
3
...
1
2
3
4
...
Recommended Authors
Shahaboddin Shamshirband
326 Publications • 7,968 Citations
Kasra Mohammadi
94 Publications • 2,896 Citations
M. Shariati
79 Publications • 1,302 Citations
N. B. Anuar
142 Publications • 6,505 Citations
Stay Connected With Semantic Scholar
What Is Semantic Scholar?
Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.
Learn More
About
About Us
Publishers
Beta Program
Contact
Research
Team
Datasets
Open Corpus
Supp.ai
Resources
Librarians
Tutorials
FAQ
API
Proudly built by AI2
Terms of ServicePrivacy Policy
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE