Showing papers in "gazi university journal of science in 2020"
TL;DR: This article introduces a modern optimization algorithm to solve optimization problems, Group Optimization (GO), based on concept that uses all agents to update population of algorithm.
Abstract: This article introduces a modern optimization algorithm to solve optimization problems. Group Optimization (GO) is based on concept that uses all agents to update population of algorithm. Every agent of population could to be used for population updating. For these purpose two groups is specified for any agent. One group for good agents and another group for bad agents. These groups is used for updating position of each agent. twenty-three standard benchmark test functions are evaluated using GO and then results are compared with eight other optimization method.
20 citations
TL;DR: In this paper, a Weibull-Alpha Power Inverted Exponential (WAPIE) distribution was proposed for lifetime processes and statistical properties of this distribution such as survival, hazard, reversed hazard, cumulative, odd functions, kurtosis, quantiles, skewness, order statistics and the entropies were derived.
Abstract: This article proposed a Weibull-Alpha Power Inverted Exponential (WAPIE) distribution for lifetime processes. Statistical properties of this distribution such as survival, hazard, reversed hazard, cumulative, odd functions, kurtosis, quantiles, skewness, order statistics and the entropies were derived. Parameters of this family of distribution were also obtained by maximum likelihood method. The behaviour of the estimators was studied through simulation. The behavior of the new developed distribution was further examined through real life data. The WAPIE distribution competes favourably well with other distributions.
16 citations
TL;DR: The findings show that the model used in this study can be successfully applied in the selection of normalization technique and provides a decision support and reference for the choice of nomalization technique for MCDM methods in terms of the framework used.
Abstract: Normalization is one of the stages that have an impact on the results of MCDM problems. Choosing the right normalization technique leads the decision maker to the right results. Accordingly, the purpose of this study is to determine the most appropriate normalization technique for the ROV method. In this study, a real case is analyzed, eight different normalization methods are compared with each other on the basis of a multi-stage framework. The findings show that the model used in this study can be successfully applied in the selection of normalization technique. This study provides a decision support and reference for the selection of nomalization technique for MCDM methods in terms of the framework used. Another importance of this study is the first testing the suitability of different normalization techniques for the ROV method.
14 citations
TL;DR: By using a ranking function, a technique is presented to convert the INLP problem into a crisp model and then solve it by standard methods.
Abstract: Neutrosophic set theory is a generalization of the intuitionistic fuzzy set which can be considered as a powerful tool to express the indeterminacy and inconsistent information that exist commonly in engineering applications and real meaningful science activities. In this paper an interval neutrosophic linear programming (INLP) model will be presented, where its parameters are represented by triangular interval neutrosophic numbers (TINNs) and call it INLP problem. Afterward, by using a ranking function we present a technique to convert the INLP problem into a crisp model and then solve it by standard methods.
13 citations
TL;DR: Deep belief network and stacked denoising auto-encoder are proposed as methods of deep learning for cow nose image texture feature extraction, and for learning the extracted features for better representation.
Abstract: Stacked denoising auto-encoder and deep belief network are proposed as methods of deep learning for cow nose image texture feature extraction, and for learning the extracted features for better representation. While stacked denoising auto-encoder is applied for encoding and decoding of the extracted features, a deep belief network is applied for learning the extracted features and representing the cow nose image in feature space. Stacked denoising auto-encoder and deep belief network help in animal biometrics. Biometrics emanated from computer vision and pattern recognition and it plays an important role in the automated animal registration and identification process. Using the visual attributes of cow, and for the fact that the existing visual feature extraction and representation methods are not capable of handling cow recognition; deep belief network and stacked denoising auto-encoder are proposed. An experiment performed under different conditions of identification indicated that deep belief network outshines other methods with approximately 98.99% accuracy. 4000 cow nose images from an existing database of 400 individual cows contribute to the community of research especially in the animal biometrics for identification of individual cow.
12 citations
TL;DR: In this paper, biological activities and phenolic contents of endemic Ferulago platycarpa Boiss & Bal were determined within the scope of biological activity, antimicrobial activity, antioxidant and oxidant status of plant extracts.
Abstract: In this study, biological activities and phenolic contents of endemic Ferulago platycarpa Boiss & Bal were determined Within the scope of biological activity, antimicrobial activity, antioxidant and oxidant status of plant extracts were determined Phenolic contents were determined by using HPLC Antimicrobial activity was determined against bacteria and fungus strains using the modified agar method Antioxidant and oxidant status were calculated with Rel Assay kits Gallic, chlorogenic, cinnamic, syringic acids, epicatechin, catechin and quercetin were found in the plant It was also determined that the plant has antioxidant and antimicrobial potential But, because of higher TOS value, it was considered that the plants, which were collected from region suitable for OSI value, could be a natural antioxidant source
12 citations
TL;DR: In this paper, it was shown that the three-dimensional system of difference equations x n+1, y n + 1, and z n+ 1 can be solved in polynomial time.
Abstract: We show that the three-dimensional system of difference equations x_{n+1}=\frac{ax_{n}z_{n-1}}{z_{n}-\beta}+\gamma, y _{n+1}=\frac{by_{n}x_{n-1}}{x_{n}-\gamma}+\alpha, z_{n+1}=\frac{cz_{n}y_{n-1}}{y_{n}-\alpha}+\beta, where the parameters a,b,x, \alpha, \beta, \gamma and the initial conditions x_{-i}, y_{-i}, i\in\{0,1\} are non-zero real numbers, can be solved. Using the obtained formulas, we determine the asymptotic behavior of solutions and give conditions for which periodic solutions exists. Some numerical examples are given to demonstrate the theoretical results.
8 citations
TL;DR: The results show that the proposed model can be used as an effective tool for environmentally friendly production-distribution planning.
Abstract: Companies must manage their supply chains effectively under changing conditions in marketplace in order to be successful against their competitors. As a result of some regulations in recent years, companies are forced to consider the damage they cause to the environment by their supply chain activities. In this paper, a production-distribution problem, which concerns economic and environmental effects, is considered. A multi-product, multi-stage production-distribution network with different transportation alternatives is modelled in the problem. A goal programming model is proposed to support planning decisions of this production-distribution network by considering the profit of network activities and the carbon emission value caused by material and product transportation. A randomly generated set of test data was used to evaluate the effectiveness of the proposed model. The results show that the proposed model can be used as an effective tool for environmentally friendly production-distribution planning
7 citations
TL;DR: A goal programming (GP) model that answers the question of which service provider to choose for which order, considering these priority values and the 12 system constraints and 5 objectives that the company encountered in real life is proposed.
Abstract: In this study, third-party logistics (3PL) service provider selection problem is handled for a foreign trade company that exports the products with high quality level obtained by outsourcing, and who has problems regarding both cost, delivery quality and delivery time. In this direction, 7 criteria are determined for effective evaluation of the performance of the 5 logistics service providers the company is working for and the determination of the most suitable 3PL service provider according to the property of the orders (quantity, mode of conveyance, transportation channel, etc.). The priority levels of service providers are calculated by using these criteria in the combination of Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Then, a goal programming (GP) model that answers the question of which service provider to choose for which order, considering these priority values and the 12 system constraints and 5 objectives that the company encountered in real life is proposed. This model is the first one proposed in the literature for the selection of 3PL service providers for multimodal international transport with consistent results. The model is solved for the current 10 orders using the last 1-year data of the company and the most appropriate 3PL service provider combination is obtained. As a result of the solution of the problem with this methodology, an improvement is achieved about 7% for the rate of delivery on time, 33% for bid - bill consistency rate, and 29% for the problematic delivery rate.
7 citations
TL;DR: In this article, the authors used multilayer perceptrons (MLP) and support vector machines (SVM) to predict the opening and closing stock prices of 42 firms listed in Istanbul Stock Exchange National 100 Index (ISE-100) using deep learning algorithm, Long Short Term Memory (LSTM) by comparing their forecasting performances.
Abstract: Stock market prediction in financial and commodity markets is a major challenge for speculators, investors, and companies but also profitable with an accurate prediction. Thus, obtaining accurate prediction results becomes extremely important especially while the stock market is essentially volatile, nonlinear, complicated, adaptive, nonparametric and unpredictable in nature. This study aims to forecast the opening and closing stock prices of 42 firms listed in Istanbul Stock Exchange National 100 Index (ISE-100) using well-known machine learning methods, Multilayer Perceptrons (MLP) and Support Vector Machines (SVM) models and deep learning algorithm, Long Short Term Memory (LSTM) by comparing their forecasting performances. The analysis includes 9 years of data from 01.01.2010 to 01.01.2019. For each firm 2249 data for the opening and 2249 for the closing stock prices were established as daily data sets. Forecasting performance of these methods was evaluated by applying different criteria for each model: root mean squared error (RMSE), mean squared error (MSE) and R-squared (R2). The results of this study show that MLP and LSTM models become advantageous in estimating the opening and closing stock prices comparing to SVM model.
6 citations
TL;DR: In this paper, the effect of each thermophysical property on the time lag and decrement factor (DF) was investigated, and the results showed that each property alone (keeping the other properties constant) is not adequate to identify the thermal inertia and thermal performance of a wall element.
Abstract: The time lag (TL) and decrement factor (DF) are essential for the heat storage capabilities of building elements, which strictly depend on the thermophysical properties of the elements. Many investigations are presented in literature arguing to find the influence of each thermophysical property on TL and DF by keeping the other properties constant. This study aims to investigate the effect of each property on TL and DF, utilizing relationships between the measurement values of the thermophysical properties of wall materials. Therefore, first, 132 new concrete wall samples were produced, and their thermophysical properties were tested. Secondly, TL and DF values for each building element are computed from the solution of the problem by Complex Finite Fourier Transform (CFFT) technique. Finally, a multivariate regression analysis has been performed, and the variations of each thermophysical property versus TL and DF are presented, and also the findings are compared with literature. The results show that each property alone (keeping the other properties constant) is not adequate to identify the thermal inertia and thermal performance of a wall element. Besides, 87.3 % decrease in thermal diffusivity corresponds to 6.03 h increase in the value of TL and 88.8 % decrease in value of DF; respectively, for W1 wall assembly.
TL;DR: In this paper, a generalization of the Cauchy numbers is introduced, which gives rise to new identities and properties, including recurrence relations, convolution identities and generating functions.
Abstract: This paper is concerned with both kinds of the Cauchy numbers and their generalizations. Taking into account Mellin derivative, we relate p-Cauchy numbers of the second kind with shifted Cauchy numbers of the first kind, which yields new explicit formulas for the Cauchy numbers of the both kind. We introduce a generalization of the Cauchy numbers and investigate several properties, including recurrence relations, convolution identities and generating functions. In particular, these results give rise to new identities for Cauchy numbers.
TL;DR: In this paper, a necessary and sufficient condition for proper quasi-hemi-slant Riemannian maps to be totally geodesic is given, and structured concrete examples for this notion are given.
Abstract: I n this paper, quasi-hemi-slant Riemannian maps from almost Hermitian manifolds onto Riemannian manifolds are introduced. The geometry of leaves of distributions that are involved in the definition of the submersion and quasi-hemi-slant Riemannian maps are studied. In addition, conditions for such distributions to be integrable and totally geodesic are obtained. Also, a necessary and sufficient condition for proper quasi-hemi-slant Riemannian maps to be totally geodesic is given. Moreover, structured concrete examples for this notion are given.
TL;DR: Both TiO2 and ZnO NPs significantly increased the frequency of aberrant cells and chromosome aberration/cell and increased sister chromatid exchange and DNA damage in human lymphocytes.
Abstract: Highlights • Cytotoxic/genotoxic potential of titanium dioxide and zinc oxide nanoparticles-NPs were examined. • Both NPs significantly increased the frequency of aberrant cells and chromosome aberration/cell. • NPs increased sister chromatid exchange and DNA damage. • NPs decreased mitotic index in some treatments. • Results revealed cytotoxic and genotoxic potential of TiO2 and ZnO NPs in human lymphocytes.
TL;DR: In this paper, a new type of Archimedean copula based on cotangent generator function and dependence characteristics are investigated, and a Monte Carlo study is performed to measure the performance of estimators.
Abstract: In this paper, new type of Archimedean copula based on cotangent generator function, and dependence characteristics are investigated. Also, the estimation procedure of the dependence parameter is given. A Monte Carlo study is performed to measure the performance of estimators. To demonstrate the goodness of fit performance of the new family, a real data analysis is performed.
TL;DR: In this paper, the first seven banks were ranked in total assets according to reports received from The Banks Association of Turkey for 2014-2018 financial year and a performance evaluation was done by using the TOPSIS and Fuzzy TopSIS methods.
Abstract: Banks are one of the key components in the world economy's financial activities. With the increasing competitive environment, banks need to use their resources effectively. Effective and efficient operation of banks is one of the important issues of money and financial markets. Effective operation of banks that are at the center of the economy, and measuring and evaluating their performances both determine their positions in the sector and have strategic importance on process management of the country’s economy. Determining which criteria and weights will be determined for performance is very important in the multi-criteria decision making process. Fuzzy techniques have more sensitivity in such evaluations. Fuzzy approaches are preferred as the risk, uncertainty and competition continue to increase in the banking sector. In this study, the criteria that affect the financial performance of banks are determined. Based on relevant criteria, the first seven banks were ranked in total assets according to reports received from The Banks Association of Turkey for 2014-2018 financial year and a performance evaluation was done by using the TOPSIS and Fuzzy TOPSIS methods.
TL;DR: In this article, the effect of temperature, initiate concentration, and adsorption-isotherm parameter on the performance of heavy metal adaption in different soils was investigated.
Abstract: The source of pollution of both underground-water and water is the existence of heavy metals in such an environment. constitutes. This research sheds light on the lead (Pb) reactivity with Cadmium (Cd) throughout their transferal in the different soils. The batch technique was used in order to demonstrate the influence of temperature, initiate concentration, adsorption-isotherm. The consequences reveal that the Freundlich model, Langmuir model, Harkin-Jura model, and Halsey model are able to adequately describe the adsorption-isotherm parameter. The adsorption ability of the heavy metals decreased once temperatures increased. On the bases of the highest ability of adsorption (Qm), the order of affinity of Lead and Cadmium for the investigated soil occurred at Pb > Cd, and the maximum capacities of adsorption of competition of two cations are decreased for the same effective sites. The change in the thermodynamic state functions such as standard free-energy (ΔGo), standard entropy (ΔSo), and standard enthalpy (ΔHo) were investigated. The interaction of adsorption is revealed to be exothermic in nature
TL;DR: In this paper, reliable iterative methods to solve the Falkner-Skan problem to obtain new approximate solutions are suggested, i.e., Tamimi-Ansari method, Daftardair-Jafari method and Banach countraction method.
Abstract: In this work, we suggest reliable iterative methods to solve the Falkner-Skan problem to obtain new approximate solutions. The suggested methods. are Tamimi-Ansari method.(TAM), Daftardair-Jafari. method.(DJM) and Banach countraction method.(BCM). We compare the obtained numerical results with other numerical methods like the Runge-Kutta (RK4) and Euler methods. The fixed point theorm is presented to test the convergence of the suggested methods. Moreover, the results of the remaining maximum error values showing that the suggested methods are reliable and effective. The Software used in our calculations for this work is Mathematica® 10.
TL;DR: In this paper, a two-step hybrid linear multistep block method for solving second, third and fourth order initial value problems of ODEs directly is presented, where the derivation of the method was done using collocation and interpolation techniques while approximated power series was used as an interpolating polynomial.
Abstract: This article presents a two-step hybrid linear multistep block method for solving second, third and fourth order initial value problems of ordinary differential equations directly. The derivation of the method was done using collocation and interpolation techniques while approximated power series was used as an interpolating polynomial. The fourth derivative of the power series is collocated at the entire grid and off grid points while the fifth and sixth derivatives of the polynomial are collocated at the end point only. The basic properties of the developed method, that is, order, error constant, zero stability, region of absolute stability, convergence and consistence of the method are properly investigated. The numerical results demonstrated that the scheme developed handles second, third and fourth order ordinary differential equations efficiently and also better in accuracy when compared with existing methods. The proposed method takes away the burden of developing separate method for the solution of second, third and fourth order initial value problem of ordinary differential equations.
TL;DR: This review presents comprehensive and current information regarding the V2G system effects on power quality and the methods by which related issues can be addressed to provide further insight into this fascinating field of technology.
Abstract: Recently, significant advances have been seen in the study and development of electric vehicles and related technologies. These developments drive both the rapid increase in the appeal of electric vehicles as well as the efforts towards the creation of systems that will support, control and manage their widespread use. The vehicle-to-grid (V2G) concept, combined with smart grid technologies, offers an optimal system for the realization of the benefits offered to users, utilities, economics and the environment by electric vehicles. As electric vehicles are steadily gaining a more significant presence in the transportation scene of our day, a review of the vehicle-to-grid concept and application, as well as a discussion of relevant current and future perspectives is of great importance. It is equally important to gain an understanding of the V2G system effects on power quality and the methods by which related issues can be addressed. This review presents comprehensive and current information regarding these topics to provide further insight into this fascinating field of technology.
TL;DR: In this paper, the authors dealt with the isomorphism between unit dual sphere, DS^2, and the subset of the tangent bundle of unit 2-sphere, TM.
Abstract: This article deals with the isomorphism between unit dual sphere, DS^2, and the subset of the tangent bundle of unit 2-sphere, TM . According to E. Study mapping, a ruled surface in〖 R〗^3corresponds to each curve on DS^2. Through this correspondence, a unique ruled surface in R^3is corresponded to natural lift curve on TM . Then striction curve, shape operator, mean curvature and Gaussian curvature of these ruled surfaces obtained by the natural lift curves are calculated. Developabilitiy condition of these ruled surfaces is given. Finally, we give an example to support the main results.
TL;DR: In this paper, the authors examined the morphology of traditional settlements in Duzce, Turkey, and found that the most important expression of territoriality in traditional settlements is the structure of the street layout.
Abstract: Villages are traditional settlements accommodating the different cultural infrastructures of the society, and those are where traditional culture can best be observed. The authentic settlement patterns that vary depending on culture are an important input. Houses and their immediate surroundings are the places that most reflect the lifestyle, culture and social understanding of the people who use them and are shaped by their spatial behavior. The social structure of the society can be read by examining the morphology of the settlements through their varying spatial behavior. The hierarchical structure of the space emerges as a result of the spatial behavior types that regulate the relationships of people and their environment, with the phenomena of privacy and territoriality reflected in the physical space. Therefore, syntactic and morphological studies were conducted in five rural settlements composed of different cultural communities in Duzce, with the aim of showing how spatial behavior leads to the morphology of the settlements. Privacy and territoriality were examined in terms of spatial behavior, and GIS and space syntax methods were used to examine the morphological and syntactic properties of the settlements. In conclusion, spatial behaviors were seen as effective in the morphology of the settlements, and the physical structure of the space in all settlement contexts was affected by the social context. According to the five samples, the most important expression of territoriality in traditional settlements is the structure of the street layout. This layout in villages leads to the spatial hierarchy that creates a sense of place.
TL;DR: In this paper, dual-generalized complex and hyperbolic-generalised complex valued functions are defined and different matrix representations of these numbers are examined, and a remarkable classification is given for special cases.
Abstract: This work is intended to introduce the theories of dual-generalized complex and hyperbolicgeneralized complex numbers. The algebraic properties of these numbers are taken into consideration. Besides, dual-generalized complex and hyperbolic-generalized complex valued functions are defined and different matrix representations of these numbers are examined. Moreover, a remarkable classification are given for special cases and the set of complexgeneralized complex numbers are mentioned.
TL;DR: In this paper, the power Lindley distribution under a step-stress partially accelerated life test based on progressive Type-II censoring scheme is studied, and the maximum likelihood estimates of the parameters and acceleration factor are investigated with their corresponding approximate confidence intervals by using asymptotic theory.
Abstract: In this study, inference for the power Lindley distribution under a step-stress partially accelerated life test based on progressive Type-II censoring scheme is studied. The maximum likelihood estimates of the parameters and acceleration factor is investigated with their corresponding approximate confidence intervals by using asymptotic theory. The performances of the estimators and their corresponding approximate confidence intervals are evaluated with simulation studies. A real data set is used to illustrate the estimation procedure.
TL;DR: In this article, a steganography-based GUI design has been carried out, which ensures that the agricultural data is safely stored and communicated to the other party, using LSB one bit, two-bit, three-bit substitution and PVD algorithms with GUI for stages of agricultural data hiding and extracting at cover images.
Abstract: Throughout the ages, safely preserving and transmitting data that have extraordinary importance for humanity has increased its importance with rapid advances in computer technology Steganography stores hidden data within the files, which are unnoticed by third parties, so it provides secure transmission of data to the receiver In this study, a steganography-based GUI design has been carried out, which ensures that the agricultural data is safely stored and communicated to the other party We used LSB one-bit, two-bit, three-bit substitution and PVD algorithms with GUI for stages of agricultural data hiding and extracting at cover images We also provided extra security using the embedded key and shifting operations on the hidden data before hiding data the cover image In short, we confused the hidden data in the cover image so that malicious people can't understand In experimental studies, performance analysis was evaluated by comparing various criteria as similarity ratio (Structural Similarity Index Measure, SSIM), stego image quality (Peak Signal-to-Noise Ratio, PSNR) and data hiding capacity (Payload)
TL;DR: A simple and efficient PVE based on the dsPIC30F4011, which is equipped with a DSP engine dedicated to high-performance control applications, which gives an efficient algorithm easy to be loaded and programmed on low-cost digital platforms, such as microcontrollers.
Abstract: Photovoltaic Emulators (PVEs) has become more a fundamental tool in the study of PV systems. Besides their many operating principles, the design and the implementation of a PVE are still in progress. In this paper, we propose a simple and efficient PVE based on the dsPIC30F4011, which is equipped with a DSP engine dedicated to high-performance control applications. The control algorithm consists of an adaptive PI controller and a Perturb and Observe (P&O) algorithm for reference generation. This innovative and straightforward combination gives an efficient algorithm easy to be loaded and programmed on low-cost digital platforms, such as microcontrollers. The implementation under the dsPIC device makes the prototype inexpensive compared with the existing commercial PVEs, but not at the expense of simplicity and accuracy. The prototype is well optimized and described to be reproducible in laboratories. The effectiveness of the proposed method was validated using a platform that consists of a dsPIC30F4011, a current-controlled buck converter, a current sensor, and voltage one. The results show that the designed emulator prototype accurately behaves as the studied PV panel under different load and weather conditions.
TL;DR: The aim of the study is to contribute to the optimal reinsurance literature by considering the interests of both the insurer and the reinsurer by examining the optimal retention problem.
Abstract: Many optimal reinsurance studies in the literature only take into consideration the insurer. However, there are two parties in reinsurance contracts. The aim of the study is to contribute to the optimal reinsurance literature by considering the interests of both the insurer and the reinsurer. A reasonable compromise between their interests is desired. Then, we examine the optimal retention problem that minimizes the absolute value of the difference between the insurer’s and the reinsurer’s profits under stop-loss and excess-of-loss reinsurance arrangements. With a non-negative random variable, we incorporate the stochastic essence of the aggregate loss for the reinsurer’s and insurer’s profits into the model. For reinsurance premium calculation we use two different premium principles and for aggregate loss we use exponential, Pareto and lognormal distributions. The results of the studies only deal with the benefits of the insurer and the studies consider both the benefits of the insurer and reinsurer are compared. Our findings can be helpful for insurance companies and reinsurer companies in their decision making task. For simulation studies in the model MATLAB programming language is used.
TL;DR: Conclusions reached in this study show that wind speed can be estimated within acceptable limits using a limited set of meteorological data and that the SCG algorithm gave better results in tests in thisStudy with less data.
Abstract: In the world, electric power is the highest need for high prosperity and comfortable living standards. The security of energy supply is an essential concept in national energy management. Therefore, ensuring the security of electricity supply requires accurate estimates of electricity demand. The share of electricity generation from renewables is significantly growing in the world. This kind of energy types are dependent on weather conditions as the wind and solar energies. There are two vital requirements to locate and measure specific systems to utilize wind power: modelling and forecasting of the wind velocity. To this end, using only 4 years of measured meteorological data, the present research attempts to estimate the related speed of wind within the Libyan Mediterranean coast with the help of ANN (artificial neural networking) with three different learning algorithms, which are Levenberg-Marquardt, Bayesian Regularization and Scaled Conjugate Gradient. Conclusions reached in this study show that wind speed can be estimated within acceptable limits using a limited set of meteorological data. In the results obtained, it was seen that the SCG algorithm gave better results in tests in this study with less data.
TL;DR: In this paper, the authors examined the convergence rate of the Szasz-Mirakyan-Durrmeyer-Stancu operators with respect to the Voronovskaya-type theorem for quantitative asymptotic estimation.
Abstract: The present paper deals with the Szasz-Mirakyan-Durrmeyer-Stancu operators preserving 𝑒2𝑎𝑥 for a>0. The uniform convergence of the constructed operators is mentioned in this paper. The rate of convergence is examined by employing two different modulus of continuities. After that, a Voronovskaya-type theorem is investigated for quantitative asymptotic estimation. Finally, a comparison is made theoretically to show that the new constructed operators perform well.