Dalibor Petković's research while affiliated with University of Niš and other places
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Publications (249)
![Fig. 1 ANFIS structure [41]](profile/Sikander_Azam/publication/348181283/figure/fig1/AS:979389865029632@1610516148008/ANFIS-structure-41_Q320.jpg)
![Input and output data samples for HHV prediction [30]](profile/Sikander_Azam/publication/348181283/figure/tbl1/AS:979389865009152@1610516148202/Input-and-output-data-samples-for-HHV-prediction-30_Q320.jpg)
Recently, biomass sources are important for energy applications. Therefore, there is need for analyzing the biomass model based on different components such as carbon, ash, and moisture content. Since the biomass modeling could be very challenging task for conventional mathematical, it is suitable to apply soft computing models which could overcome...
This study predicts the investigation of surface eco-protection techniques for cohesive soil slopes along the selected Guthrie Corridor Expressway stretch by way of analyzing a new set of probabilistic models using a hybrid technique of artificial neural network and fuzzy inference system namely adaptive neuro-fuzzy inference system (ANFIS). Soil e...
To understand the decomposition behavior of biomass oxidation, there is need to analyze the process by some models. An e-tracking system was established and modeled by the object-oriented methodology of kinetic parameters of biomass oxidation. The system calculates kinetic parameters of the biomass oxidation through neuro-fuzzy methodology which is...
The Editors-in-Chief have retracted this article [1] because validity of the content of this article cannot be verified.
The Editors-in-Chief have retracted this article because validity of the content of this article cannot be verified.
The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified.
An e-monitoring system was established and modeled by object-oriented methodology for prediction of the maximal biomass yields based on in vitro culture parameters. The system calculates the maximal biomass yields through neuro-fuzzy or adaptive neuro-fuzzy inference system (ANFIS) methodology. The final biomass fresh weight was considered as a fun...
Reference evapotranspiration (ET0) is considered and one of the most valuable parameter for hydrological, climatological investigation and water resources management as well. In this article the evapotranspiration was determined with the simplified equation of Makkink. There is need for precise approximation of the reference crop evapotranspiration...
In order to effectively utilize energy of agricultural biomass, there is a need to evaluate energy potential. For such a purpose, chemical exergy and standard entropy of typical agricultural biomass were examined analytically. Element compositions of the exergy and entropy were acquired for further statistical evaluation. Adaptive neuro fuzzy infer...
The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified. This article showed evidence of peer review and authorship manipulation.
The Editor-in-Chief has retracted this article [1] because the validity of the content of this article cannot be verified. This article showed evidence of substantial text overlap (most notably with the articles cited [2-5]), peer review and authorship manipulation. Authors Shatirah Akib and Shahaboddin Shamshirband do not agree to this retraction....
E‐learning, as a complex system, includes distance learning, teaching materials in various forms and shapes, group and individual learning processes, as well as interactive and tutorial work. To increase the effectiveness and efficiency of the e‐learning system, it is necessary first of all to consider the characteristics of students and their lear...
The Editor-in-Chief has retracted this article (Joviæ et al. 2019) because validity of the content of this article cannot be verified. This article showed the evidence of substantial text overlap [most notably with the articles cited (Petkovic et al. 2016; Mladenovic et al. 2016)] and authorship manipulation. All authors disagree about this retract...
The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified.
Editors have retracted this article because validity of the content of this article cannot be verified.
The Editors have retracted this article because validity of the content of this article cannot be verified.
The Editor-in-Chief of Stochastic Environmental Research and Risk Assessment is issuing an editorial expression of concern to alert readers that this article (Gocić et al. 2015) shows substantial indication of irregularities in authorship during the submission process.
The Editor-in-Chief has retracted this article (Petković et al. 2015a) because validity of the content of this article cannot be verified.
The Editor-in-Chief of Stochastic Environmental Research and Risk Assessment is issuing an editorial expression of concern for article.
This comment refers to the article available online.
The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified. This article showed evidence of substantial text overlap (most notably with the articles cited [2, 3]) and authorship manipulation.
The main purpose of the study was to evaluate the information and communication technology (ICT) sector in the teaching process based on teachers’ attitudes and the strategic collaboration between universities and industry. The most common issue faced by the graduated students is to find a desired job at the end of the course of study. The main obs...
The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows substantial indication of irregularities in authorship during the submission process.
The Editor-in-Chief of American Journal of Potato Research is issuing an editorial expression of concern to alert readers that this article shows substantial indication of irregularities in authorship during the submission process.
Application of information and communication technologies (ICT) and e-learning in education system could serve as potential improvement of lectures and learning process. It is essential to introduce the ICT in teaching process as soon as possible because of rapid development of information systems and technologies. Hence, in this article an attempt...
The main aim of the survey was to present current state of quality models of e-learning systems. Development of the quality models of e-learning systems was explored where some future directions were suggested. The quality models of e-learning systems were analyzed based on their different perspectives and dimensions according to the survey. Based...
The main goal of the study was to analyze vibration of pumping aggregate. There are fourth position which could be very harmful for the total working operation of the pumping aggregate. The pumping aggregated should have smooth continuous operations without any mistake. Vibration could affect different parts or segments of the pumping aggregate and...
This paper presented a survey of models for possible aspects of Internet marketing and online advertising. The aim of the survey was to improve the business of enterprises engaged in the wine production and wine marketing with special emphasis on the improvement of the sales process. By using the most recent literature and the data obtained, the su...
Mathematics lectures could be very challenging task for the both, teachers and pupils, since there are large education material which should be acquired throughout 1 year. Therefore there is need to improve the lectures in order to make it more interesting and attractive for pupils especially. In order to find a way how to improve the lectures, the...
This paper investigates the exchange rate pass-through effect (ERPT) on the aggregate import prices within seven countries of Southeast Europe. The main goal is to investigate whether there is a high, as well as a complete pass-through effect in the short-term and long-term for Croatia, Bulgaria, Romania and Slovenia. Compared to the previous surve...
Since learning process could be very challenging task for scholars in this article an attempt to analyze and model a universal education software (UES) was made. The software was modeled from beginning of the life cycle by object-orientated modeling approach. In order to visually represent any research problem unified modeling language is the most...
Inflation is a phenomenon which attracts the attention of many researchers. Inflation is not a recent date phenomenon, but it has existed ever since money emerged in world’s first economies. With the development of economy and market, inflation developed as well. Today, even though there is a considerable number of research papers on inflation, the...
This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor. Sections “1. Introduction” and “2. Modulation transfer function”, as well as Figs. 1–3, plagiarize the article published by N. Gül and M. Efe in Turk. J. E...
Most of the available models for reference evapotranspiration (ET0) estimation are based upon only an empirical equation for ET0. Thus, one of the main issues in ET0 estimation is the appropriate integration of time information and different empirical ET0 equations to determine ET0 and boost the precision. The FAO-56 Penman–Monteith, adjusted Hargr...
This research study is an analysis of patent applications based on different input parameters. Nine patent indicators for describing patent applications are retrieved from the World Bank database. The method of ANFIS (adaptive neuro fuzzy inference system) is applied to selecting the most important parameters for patent applications. The inputs are...
![a Size of the contact area A(δ\documentclass[12pt]{minimal}...](publication/310660220/figure/fig1/AS:960348563722251@1605976348292/a-Size-of-the-contact-area-Addocumentclass12ptminimal-usepackageamsmath_Q320.jpg)
Fluctuation of wind speed affects wind energy systems since the potential wind power is proportional the cube of wind speed. Hence precise prediction of wind speed is very important to improve the performances of the systems. Due to unstable behavior of the wind speed above different terrains, in this study fractal characteristics of the wind speed...
This paper reconsiders the precipitation concentration index (PCI) in Serbia using precipitation measurements such as the mean winter precipitation amount, annual total precipitation, mean summer precipitation amount, mean spring precipitation amount, mean autumn precipitation amount and the mean of precipitation for the vegetation period (April–Se...
Three-dimensional shape modeling from a flat sheet by lasers needs numerous irradiations along surface paths with different parameters of heating. In this study was attempted to form a three-dimensional shaped surface by laser. The main aim of the study was to analyze the impact of various machining parameters like laser power, scan speed and spot...
In this investigation was established a model of laser welding quality prediction based on different input parameters. As the quality factors for the laser welding process lap-shear strength and weld-seam width were used. Laser power, welding speed, stand-off distance and clamping pressure were used as input parameters. Experimental test were used...
The V-shaped angle shear connector is recognized as to expand certain mechanical properties to the shear connectors, contains adequate ductility, elevate resistance, power degradation resistance under cyclic charging, and high shear transmission, more economical than other shear connectors, for instance, the L-shaped and C-shaped shear connectors....
The friction coefficient is widely used for technical and economical design of pipes in irrigation, land drainage, urban sewage systems and intake structures. In the present study, the friction factor in pipes is estimated by using adaptive neuro-fuzzy inference system (ANFIS) and grid partition method. The data derived from the Colebrook’s equatio...
Since the wind speed fluctuation could cause large instability in wind energy systems it is crucial to develop a method for precise estimation of the wind speed fluctuation. Fractal interpolation of the wind speed could be used to improve the accuracy of the estimation of the wind speed fluctuation. Based on the self-similarity feature, the fractal...
Underactuated robotic finger could be used as adaptive mechanism with simple control algorithm. In this study the main aim was to estimate the robotic finger contact forces by soft computing methods. Soft computing approach was applied in order to overcome high nonlinearity in the finger behavior. Kinetostatic analysis was performed in order to ext...
Adaptive grippers should be able to detect and recognize grasping objects. To be able to do it control algorithm need to be established to control gripper tasks. Compliant underactuated mechanisms with passive behavior can be used for modelling of adaptive robotic fingers. Undearactuation is a feature which allows fully adaptability of robotic fing...
Occurrence and spread of forest fi res is affected by number
of different factors. In this investigation aim was to determine
which factors have dominant impact. The method of ANFIS
(adaptive neuro-fuzzy inference system) for variable selection was
implemented in order to detect the predominant factors affecting
the occurrence of forest fi res. Eig...
A wind power plant which consists of a group of wind turbines at a specific location is also known as wind farm. The engineering planning of a wind farm generally includes critical decision-making, regarding the layout of the turbines in the wind farm, the number of wind turbines to be installed and the types of wind turbines to be installed. Two p...
Laser cutting is a popular manufacturing process utilized to cut various types of materials economically. The operating cost is affected by laser power, cutting speed, assist gas pressure, nozzle diameter and focus point position as well as the workpiece material. In this article, the process factors investigated were: laser power, cutting speed, a...
The paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in precipitation estimation. The monthly precipitation data from 29 synoptic stations in Serbia during 1946-2012 are used as case studies. Even though a number of mathematical functions have been proposed for modeling the precipitation estimation, these models still...
The purpose of this research is to develop and apply the Extreme Learning Machine (ELM) to forecast the gross domestic product (GDP) growth rate. In this study the GDP growth was analyzed based on ten science and technology factors. These factors were: research and development (R&D) expenditure in GDP, scientific and technical journal articles, pat...
Thermal comfort in open urban areas is very factor based on environmental point of view. Therefore it is need to fulfill demands for suitable thermal comfort during urban planning and design. Thermal comfort can be modeled based on climatic parameters and other factors. The factors are variables and they are changed throughout the year and days. Th...
This study dealt with finding the sequence of the most influential parameters among the factors that affect the offshore wave height. A dataset comprising of four climatic input parameters: sea surface wind speed (U), wind direction (θ), air temperature (Ta), and sea surface temperature (Tw); as well as one output parameter (significant wave height...
Structural design of a composite beam is influenced by two main factors, strength and ductility. For the design to be effective for a composite beam, say an RC slab and a steel I beam, the shear strength of the composite beam and ductility have to carefully estimate with the help of displacements between the two members. In this investigation the s...
This study presents an extreme learning machine (ELM) approach, for estimating monthly reference evapotranspiration (ET0) in two weather stations in Serbia (Nis and Belgrade stations), for a 31-year period (1980–2010). The data set including minimum and maximum air temperatures, actual vapour pressure, wind speed and sunshine hours was employed for...
At the coastline of the Carey Island, mangroves provide natural protection against the wind-driven coastal waves. The area is located at the west Malaysia within the waters of the Straits of Malacca. Recently, its coastline has been exposed to increasing rates of coastal erosion due to mangrove deforestation. In order to provide mitigating measures...
The main objective of wind farm modeling is to maximize wind farm efficiency. The optimal wind turbine placement on a wind farm could be modified by taking economic aspects into account. The net present value (NPV) is the most important criteria for project investment estimating. The general approach in deciding the distinctive choice for a task th...
Water-jet assisted underwater laser cutting has shown some advantages as it produces much less turbulence, gas bubble and aerosols, resulting in a more gentle process. However, this process has relatively low efficiency due to different losses in water. It is important to determine which parameters are the most important for the process. In this in...
Heat affected zone (HAZ) of the laser cutting process may be developed on the basis on combination of different factors. In this investigation was analyzed the HAZ forecasting based on the different laser cutting parameters. The main aim in this article was to analyze the influence of three inputs on the HAZ of the laser cutting process. The method...
Rainfall is a complex atmospheric process that varies over time and space. Researchers have used various empirical and numerical methods to enhance estimation of rainfall intensity. We developed a novel prediction model in this study, with the emphasis on accuracy to identify the most significant meteorological parameters having effect on rainfall....
Noise annoyance caused by wind turbines has become a great problem in recent years, due to the rapid increase in number of wind turbines, triggered by sustainable energy goals set forward at the national and international level. Up to now, not all aspects of the generation, propagation and perception of wind turbine noise are well understood. For a...
This paper analyzes the influence of various flow and thermal variables on the performance of the activated carbon filter in the air-conditioning system. The ANFIS (adaptive neuro fuzzy inference system) method was applied to the data obtained from the experimental apparatus in order to select the most influential parameters for assessing the effic...
Sustaining outdoor life in cities is decreasing because of the recent rapid urbanisation without considering climate-responsive urban design concepts. Such inadvertent climatic modifications at the indoor level have imposed considerable demand on the urban energy resources. It is important to provide comfortable ambient climate at open urban square...
The present study developed a wave height prediction model by the recorded climatic data. We used 1-year buoy data for training and testing the developed soft-computing model. Models were developed using a novel method based on the Support Vector Machine (SVM) coupled with the Firefly Algorithm (FFA). This research work used the FFA for estimating...
Wind energy using increased dramatically in the last years. Because of that wind turbine design should be improved to increase efficiency. To make wind turbine with the best characteristics and with the highest efficiency it is suitable to analyze factors that are truly relevant to the converted wind energy. Wind turbine innovative design is invest...
In this research work, for the first time, the adaptive neuro fuzzy inference system (ANFIS) is employed to propose an approach for identifying the most significant parameters for prediction of daily dew point temperature (Tdew). The ANFIS process for variable selection is implemented, which includes a number of ways to recognize the parameters off...
Robotic manipulators have very strong nonlinearities. Analytical modeling of the robotic gripper is very challenging task. Therefore in this paper soft computing methods is applied in order to estimate contact forces of the robotic finger. Support vector regression (SVR) with radial and polynomial basis functions and the soft computing methods were...
Wind power is generating a lot of interest in many countries as a way to produce sustainable and low cost electrical power. Since the power in the wind is known to be proportional to the cubic power of the wind velocity approaching the wind turbine, this means that any slight increase in wind speed can lead to a substantial increment in the energy...
There is a lack of studies on evaluating the economic feasibility of large-scale wind turbine development in Iran. Thus, this study aims at analyzing the feasibility of large wind turbines installation in Lutak region, situated in the southeast of Iran. For this aim, the 10-min average recorded wind speed data at 40 m height collected from January...
The monthly precipitation data from 29 stations in Serbia during the period of 1946–2012 were considered. Precipitation trends were calculated using linear regression method. Three CLINO periods (1961–1990, 1971–2000, and 1981–2010) in three subregions were analysed. The CLINO 1981–2010 period had a significant increasing trend. Spatial pattern of...
In this paper, a neural network auto-regressive model with exogenous inputs (NN-ARX) is utilized for predicting daily horizontal global solar radiation (DHGSR). For this aim, two sets of parameters: (1) sunshine hours (n) and maximum possible sunshine hours (N), and (2) maximum ambient temperature (T
max) and minimum ambient temperature (T
min) col...
The prime aim of this study is appraising the suitability of adaptive neuro-fuzzy inference framework (ANFIS) to compute the monthly wind power density. On this account, the extracted wind power from Weibull functions are utilized for training and testing the developed ANFIS model. The proficiency of the ANFIS model is certified by providing thorou...
The main aim of a conceptual design is to obtain the innovative projects or ideas to enable the products and designs with best performance, what is also including the materials especially ceramics optimal selection for the effective solutions. The theory of inventive problem solution (TRIZ) is a systematic methodology for innovation. The design of...
The engineering planning of a wind farm generally includes critical decision-making, regarding the layout of the turbines in the wind farm, the number of wind turbines to be installed and the types of wind turbines to be installed. Two primary objectives of optimal wind farm planning are to minimize the cost of energy and to maximize the net energy...
Precipitation prediction is of dispensable importance in many hydrological applications. In this study, monthly precipitation data sets from Serbia for the period 1946–2012 were used to estimate precipitation. To fulfil this objective, three mathematical techniques named artificial neural network (ANN), genetic programming (GP) and support vector m...
Citations
... Machine learning techniques and ANN models have already been used for estimating hydrological parameters [50][51][52][53][54][55] and ecological variables [71]. Due to the ML's ability to capture non-linear characteristics, many research results suggest that machine learning methods can provide better ET estimates than empirical equations based on different meteorological parameters [72][73][74][75][76][77][78][79]. Traditional multispectral indices have limitations with assessing water status. ...
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... Content-based image retrieval (CBIR) is the most important area for computer vision and image processing. This was used in different fields such as medicine, health, cultural heritage, crime prevention, and so forth [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. CBIR is a well-defined image search and retrieval technique based on its visual content within a large collection of data. ...
... Most of its applications in economics have been made in finance (Acosta-González & Fernández, 2014;Larkin & Ryan, 2008;Vasilakis et al., 2013). Applications of GP in macroeconomics have been scarce (Álvarez-Díaz & Álvarez, 2003(Álvarez-Díaz & Álvarez, , 2005Chen et al., 2012;Koza, 1992;Kronberger et al., 2011;Marković et al., 2017). See Claveria et al. (2017) for a review of recent applications of GP in economics. ...
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... The authors concluded that such modification (inclusion of back-propagation algorithm) was necessary in order to close the accuracy gap between the ANN and PM models. Hybrid models that were off-shoots from ANN were also used for ET 0 estimation and these included the adaptive neuro-fuzzy inference system (ANFIS) and the wavelet neural network (WNN) (Mohammadrezapour et al., 2019;Patil and Deka, 2015;Petković et al., 2020). Saggi and Jain (2019) used an extreme version of the MLP where the hidden layers were increased drastically to form a deep learning network, for ET 0 prediction in the northern state of India. ...
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... Compared with the traditional feedforward neural networks, ELM learns much faster and can obtain the minimum training error and the weight norm. Shamshirband et al. [40] studied the effect of Weibull parameters by applying ELM to the estimated wind speed distribution. Ray et al. [41] presented an accurate hybrid fault location technique for underground power cable. ...
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... Previous researches have made great contribution to the climatic characteristics analysis [13], short-term forecasting of wave energy [14], [15], [16]. However, the existing work mainly focused on the mixed wave energy. ...
... Intelligent computational models bridge the gap between conventional research methodologies and modern methodologies by providing the ability of optimization for improved experimental results [11][12][13][14][15]. Intelligent soft computing models provide high accuracy compared with hard computing systems [16][17][18][19]. Thus, novel computational methods need to be brought into research to predict the accurate HTL response. ...
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... Neuro fuzzy systems (NFS)-a combination of fuzzy logic and neural networks-work based on the rules specified during initialization of the system. NFS were implemented in [36][37][38][39] to find the strength of shears. Since NFS works only based on the rules, topological change makes the algorithm weaker [16]. ...
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... Neyland (2011) highlighted that technological change is necessary for educational systems to remain effective, relevant and competitive. The implementation of e-learning is a necessity for any HEI that seeks recognition as a twenty-first-century university (Petković et al. 2018). ...
... Over the past 30 years, while the economy has had an annual growth rate of only 33%, electricity consumption has increased by 36% per annum. Solar and wind energy are the more attractive options in comparison with other renewable energy sources [12]. Many regions should adopt solar energy to simultaneously meet energy demands and reduce the pollution caused by fossil fuel consumption. ...
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