Shahaboddin Shamshirband's research while affiliated with Ton Duc Thang University and other places

The Editors-in-Chief have retracted this article [1] 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.

The Editors-in-Chief have retracted this article because validity of the content of this article cannot be verified.

The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article.

The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern to alert readers that this article [1] shows evidence of substantial text overlap (most notably with the article cited [2]) and authorship manipulation. None of the authors responded to correspondence about this editorial expression of concern.

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 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 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, 4, 5 and 6]) 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....

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.

Cost, performance, and penalties are the key factors to revenue generation and customer satisfaction. They have a complex correlation, that gets more complicated when missing a proper framework that unambiguously defines these factors. Service Level Agreement (SLA) is the initial document discussing selected parameters as a precondition to business...

With the rapid developments in cloud computing and mobile networks, multimedia content can be accessed conveniently. Recently, some novel intelligent caching-based approaches have been proposed to improve the memory architectures for multimedia applications. These applications often face bottleneck related challenges which result in performance deg...

When we deconstruct a complex problem we often find patterns among the smaller problems we create. The patterns are similarities or characteristics that some of the problems share. Pattern recognition is one of the four cornerstones of computer science. It involves finding the similarities or patterns among small, deconstruct problems that can help...

The Editor-in-Chief has retracted this article.

The Editor-in-Chief has retracted this article (Kiakojuri et al. 2015) because validity of the content of this article cannot be verified. This article showed evidence of peer review and authorship manipulation. Authors Davood Kiakojuri, Shahaboddin Shamshirband and Nor Badrul Anuar do not agree to this retraction. Author Johari Abdullah has not re...

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.

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 authors do not agree to this retraction.

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 Editor-in-Chief has retracted this article because validity of the content of this article cannot be verified.

The Editor-in-Chief has retracted this article (Naji et al. 2016a) 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 (Naji et al. 2014, 2016b; Akib et al. 2015)), peer review and authorship manipulation.

The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern.

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.

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...

The essential minimum velocity required to prevent sediment deposition was predicted in this study using soft computing. The Radial Basis Function (RBF) network was utilized, and particle swarm optimization (PSO) was used to determine the radial basis function (RBF) parameters. The factors that influence sediment transport to the limit of depositio...

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...

Soil field capacity (FC) and permanent wilting point (PWP) are significant parameters in numerous biophysical models and agricultural activities. Although these parameters can be measured directly, their measurements are quite expensive. The purpose of this study was to develop a hybrid Support Vector Machine (SVM) combined with Firefly Algorithm (...

Side weirs are hydraulic structures that are used as discharge adjustments to divert the surplus water flowing from the main channel. Predicting the discharge coefficient is one of the most important parameters in the side weir design process. In practical situations, it is preferred to predict the discharge coefficient with simple equations. The g...

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...

Health is one of the sustainable development areas in all of the countries. Internet of Things has a variety of use in this sector which was not studied yet. The aim of this research is to prioritize IoT usage in the healthcare sector to achieve sustainable development. The study is an applied descriptive research according to data collection. As p...

Evaluating Enterprise Architecture (EA) projects is crucial to providing comprehensive information of the developed EA artefacts and assisting with the accurate evaluation of implemented Information Systems (ISs) in order to realize the achievement of EA goals and support EA decision makers. EA evaluation involves assessing the appropriateness and...

The minimum velocity required to prevent sediment deposition in open channels is examined in this study. The parameters affecting transport are first determined and then categorized into different dimensionless groups, including “movement,” “transport,” “sediment,” “transport mode,” and “flow resistance.” Six different models are presented to ident...

Accurate determination of discharge coefficient is one of the major concerns in the process of the designing of side weirs. Relation between the modified side weirs discharge coefficient to various geometric and hydraulic situations leads to a high flow complexity around the weirs. In this study, two types of Support Vector Regression (SVR) methods...

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...

Hydrological hazards of various types present myriad technical and public policies challenges worldwide and are deened as extreme events associated with water occurrence, movement, and distribution. Speciically, hydrological hazards include ooding and related events (e.g., landslides and river scour and deposition) and droughts. Hydrological hazard...

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...

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...

One of the crucial issues regarding a storm sewer system is the ability to avoid sediment depositions on the pipe invert. In this study, the mean flow velocity under the limit of sediment deposition conditions in partially filled circular storm sewers is evaluated through the use of a support vector machine (SVM) model coupled with the firefly algo...

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...

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....

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...

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...

Purpose This paper aims to present a hybrid approach based on classification algorithms that was capable of identifying different types of phishing pages. In this approach, after eliminating features that do not play an important role in identifying phishing attacks and also after adding the technique of searching page title in the search engine, t...

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...

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...

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 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...

Cloud computing is an emerging computing paradigm that offers on-demand, flexible, and elastic computational and storage services for the end-users. The small and medium-sized business organization having limited budget can enjoy the scalable services of the cloud. However, the migration of the organizational data on the cloud raises security and p...

Robotic operations need to be safe for unpredictable contacts. Joints with passive compliance with springs can be used for soft robotic contacts. However the joints cannot measure external collision forces. In this investigation was developed one passive compliant joint which have soft contacts with external objects and measurement capabilities. To...

District heating systems operation can be improved by control strategies. One of the options is the introduction of predictive control model. Predictive models of heat load can be applied to improve district heating system performances. In this article, short-term multistep-ahead predictive models of heat load for consumers connected to district he...

Technical design of sewer systems requires highly accurate prediction of sediment transport. In this study, the capability of the combined support vector machine-wavelet transform (SVM-Wavelet) model for the prediction of the densimetric Froude number (Fr) was compared to the single SVM and different existing sediment transport equations at the lim...

In Cloud computing environments, computing resources are available for users, and they only pay for used resources The most important issues in cloud computing are scheduling and energy consumption which many researchers worked on them. In these systems a scheduling mechanism has two phases: task prioritization and processor selection. Different pr...

In the present study, four Support Vector Machine-based (SVM-based) approaches and the standard artificial neural network (ANN) model were designed and compared in modelling the exergetic parameters of a DI diesel engine running on diesel/biodiesel blends containing expanded polystyrene (EPS) wastes. For this aim, the SVM was coupled with discrete...

Energy consumption and its negative environmental impacts are of interesting topics in the recent centuries. Agricultural systems are both energy users and suppliers in the form of bio energy and play a key role in world economics as well as food security. A high amount of energy from different sources is used in this sector while researchers who i...

A new hybrid approach by integrating the support vector machine (SVM) with firefly algorithm (FFA) is proposed to estimate shape (k) and scale (c) parameters of the Weibull distribution function according to previously established analytical methods. The extracted data of two widely successful methods utilized to compute parameters k and c were use...