Physical Sciences and Mathematics | Open Access Articles

The Most Important Inequalities Of $M$-Convex Functions, Zlatko Pavic, Merve Avci Ardiç

Turkish Journal of Mathematics

The intention of this article is to investigate the most important inequalities of $m$-convex functions without using their derivatives. The article also provides a brief survey of general properties of $m$-convex functions.

Go to article

On Armendariz-Like Properties In Amalgamated Algebras Along Ideals, Abdeslam Mimouni, Najib Mahdou, Mounir El Ourrachi

Turkish Journal of Mathematics

Let $f: A\rightarrow B$ be a ring homomorphism and $J$ be an ideal of $B$. In this paper, we investigate the transfer of Armendariz-like properties to the amalgamation of $A$ with $B$ along $J$ with respect to $f$ (denoted by $A\bowtie^fJ)$ introduced and studied by D'Anna, Finocchiaro, and Fontana in 2009. Our aim is to provide necessary and sufficient conditions for $A\bowtie^fJ$ to be an Armendariz ring, nil-Armendariz ring, and weak Armendariz ring.

Go to article

A Bivariate Sampling Series Involving Mixed Partial Derivatives, Rashad Mudhish Asharabi, Hamoud Al-Haddad

Turkish Journal of Mathematics

Recently Fang and Li established a sampling formula that involves only samples from the function and its first partial derivatives for functions from Bernstein space, $B^{p}_{\sigma}(\mathbb{R}^{2})$. In this paper, we derive a general bivariate sampling series for the entire function of two variables that satisfy certain growth conditions. This general bivariate sampling formula involves samples from the function and its mixed and nonmixed partial derivatives. Some known sampling series will be special cases of our formula, like the sampling series of Parzen, Peterson and Middleton, and Gosselin. The truncated series of this formula are used to approximate functions from the …

Go to article

Geochemical, Microthermometric, And Isotopic Constraints On The Origin Of Fluorite Deposits In Central Anatolia, Turkey, Peli̇n Coşanay, Ece Kirat, Ni̇hal Çevi̇k, Ceyda Kizilkanat, Hali̇m Mutlu, Şükrü Koç

Turkish Journal of Earth Sciences

We investigate rare earth element geochemistry, microthermometric characteristics, and radiogenic isotope systematics of fluorites and stable isotope compositions of gangue minerals from several fluorite deposits in central Turkey. In the deposits, fluorite is the main ore mineral and it is accompanied by quartz, calcite, and minor pyrite and barite. Veins are represented by three different fluorite types based on their color. Total REY contents of fluorites are highly variable, ranging from 24 to 693 ppm. LREE concentrations of fluorites of all colors are similar but medium and heavy REE abundances of green fluorites are nearly an order of magnitude greater …

Go to article

Paleoenvironment Of The Late Oligocene From The Kağızman-Tuzluca Basin (Northeastern Anatolia) Based On The Micro- And Macrofloras, Mi̇ne Sezgül Kayseri̇ Özer, Recep Hayretti̇n Sancay, Şevket Şen, Koray Sözeri̇, Gregoire Métais, Turhan Ayyildiz, Baki̇ Erdoğan Varol

Turkish Journal of Earth Sciences

The Kağızman-Tuzluca Basin in East Anatolia is still poorly documented for its stratigraphy and in particular its paleofloral assemblages. In this study, the microfloras from the Kağızman-Kötek and Kömürlü areas and the macroflora from the Tuzluca area in this basin have been defined to overcome this deficiency. Sedimentary sequences of the Kağızman-Kömürlü area have been deposited in terrestrial conditions different from the sequences of the Kağızman-Kötek and Tuzluca areas, which were deposited in brackish conditions near a shallow marine environment. Paleovegetation in eastern Anatolia is represented by mixed mesophytic and coniferous forests restricted to high and middle altitudes (e.g. Pinus, …

Go to article

The Discovery Of A Low-Angle Normal Fault In The Taurus Mountains: The İvriz Detachment And Implications Concerning The Cenozoic Geology Of Southern Turkey, Gürol Seyi̇toğlu, Veysel Işik, Esra Gürbüz, Alper Gürbüz

Turkish Journal of Earth Sciences

The İvriz detachment fault has been determined on the southern border of the Ulukışla basin separating the metamorphic Bolkar Group of the Taurus Mountains and the Paleocene-Lower Eocene Halkapınar formation of basin deposits. The fault dips towards the north and has kinematic indicators (asymmetric grain/grain aggregate porphyroclasts, oblique foliation, and S-C fabrics), suggesting a top-to-the-N-NE sense of shearing. The clastic material originating from the Bolkar Group in the sedimentary units of the Ulukışla basin demonstrates that the detachment fault could have been be active during Latest Cretaceous-Eocene times. The İvriz detachment may have initiated as part of a high-angle breakaway …

Go to article

The Impact Of Eustasy, Tectonics, And Paleoclimate On The Dolomitization Of The Syn-Rift Neogene Carbonate Platforms In The Red Sea Coastal Area, Egypt, Abdallah Mohammed Hassan

Turkish Journal of Earth Sciences

A very significant quantity of dolomites and dolomitic limestones of variable origins occurs in the syn-rift Neogene carbonate platforms of the NW Red Sea coast and the Gulf of Suez. These are more common in the Um Diheisi Member of the Ranga Formation (early Miocene), the Um Mahara Formation (middle Miocene), the Um Gheig Formation (late Miocene), and the Dashet El Dabaa Member of the Shagra Formation (Pliocene). Based on their stratigraphic distribution, petrography, and cathodoluminescent characteristics, as supported by geochemical data, syn-rift irregular morphotectonic relief, and the eustasy, four distinct types of dolomites have been identified and were interpreted …

Go to article

Crustal S-Wave Structure Around The Lake Van Region (Eastern Turkey) From Interstation Rayleigh Wave Phase Velocity Analyses, Hakan Çinar, Hamdi̇ Alkan

Turkish Journal of Earth Sciences

This study focuses on the average crustal and the upper mantle structure throughout the Lake Van region of eastern Turkey. The study aimed to investigate the structure with the fundamental mode interstation Rayleigh wave phase velocities from the local and the regional earthquakes recorded by Kandilli Observatory and Earthquake Research Institute stations. Considering back azimuth differences of each source and station path, six different broadband station pairs and 27 earthquakes were selected to determine the 1-D shear-wave velocity structures throughout the region by using an interstation method (slant stacking technique). The linearized least squares algorithm was used to obtain the …

Go to article

Marine Effects On Vertical Electrical Soundings Along Shorelines, Emi̇n Uğur Ulugergerli̇

Turkish Journal of Earth Sciences

Onshore applications of direct current resistivity (DCR) along shorelines suffer a short-circuit-like phenomenon due to electrical current flowing through a more conductive body of water rather than ground. Our study of the numerical simulation of DCR data with a three-dimensional forward model demonstrated that the apparent resistivity was reduced as a function of the sea depth and the distance of measurement site to the shoreline. Furthermore, it was concluded that the "marine effects" on DCR data (i.e. reduction in apparent resistivity) become nonnegligible as the ratio of half-electrode expansion (AB/2) to the distance to the shoreline is larger than one. …

Go to article

Active Faults In The Anatolian-Aegean Plate Boundary Region With Nubia, Ali̇ Değer Özbakir, Rob Govers, Rinus Wortel

Turkish Journal of Earth Sciences

Convergence of the Africa, Arabia, and Eurasia plates and the westward escape of Anatolia have resulted in an evolving plate boundary zone in the Eastern Mediterranean. The current location and nature of the plate boundary between the Anatolian and the African plate is difficult to trace due to the scattered crustal earthquakes and the absence of deep ones. We examine various types and locations for the plate boundary as constrained by seismicity, seismic reflection studies, tomographic studies, and geodetic measurements and we use a spherical plane stress finite element model to test these possibilities. In our regional model, we impose …

Go to article

Maastrichtian-Thanetian Planktonic Foraminiferal Biostratigraphy And Remarks On The K-Pg Boundary In The Southern Kocaeli Peninsula (Nw Turkey), Volkan Sarigül, Aynur Hakyemez, Okan Tüysüz, Şengül Can Genç, İsmai̇l Ömer Yilmaz, Ercan Özcan

Turkish Journal of Earth Sciences

The Kocaeli Peninsula (NW Turkey) provides one of the best exposed deep marine Upper Cretaceous-Palaeocene sections in north-western Anatolia. The biostratigraphic framework from three sections, namely Belen, Bulduk, and Toylar, in the southern part of the Kocaeli Peninsula is established by means of planktonic foraminifera. A very rich planktonic foraminiferal assemblage analysed both in thin sections and washed residues records a biozonation ranging from the Contusotruncana contusa (CF6) Zone (Maastrichtian) to the Globanomalina pseudomenardii (P4) Zone (Thanetian). Although a major part of the biozones in the studied interval is clearly defined, the upper three zones (CF1-3) of the latest Maastrichtian …

Go to article

Sulfur Isotope Characteristics Of The Permian Vhms Deposits In Tasik Chini District, Central Belt Of Peninsular Malaysia, Mohd Basril Iswadi Basori, Khin Zaw, Robert Ross Large, Wan Fuad Wan Hassan

Turkish Journal of Earth Sciences

Sulfur isotope data from sulfide and sulfate minerals have been measured from the two typical examples of the Permian volcanic-hosted massive sulfide (VHMS) deposits at the Tasik Chini district in the Central Belt of Peninsular Malaysia. In this study, we present the sulfur isotope data for 33 sulfide minerals and 23 barite samples from two VHMS deposits in the Tasik Chini district. Sulfides show a narrow range of sulfur values from -2.9%o to +8.30%o, which can be interpreted to be derived from a mixed sulfur source of reduced seawater sulfate with the possible addition of magmatic sulfur. Sulfate sulfur in …

Go to article

Android Malware Classification Based On Anfis With Fuzzy C-Means Clustering Using Significant Application Permissions, Altyeb Altaher, Omar Barukab

Turkish Journal of Electrical Engineering and Computer Sciences

Mobile phones have become an essential part of our lives because we depend on them to perform many tasks, and they contain personal and important information. The continuous growth in the number of Android mobile applications resulted in an increase in the number of malware applications, which are real threats and can cause great losses. There is an urgent need for efficient and effective Android malware detection techniques. In this paper, we present an adaptive neuro-fuzzy inference system with fuzzy c-means clustering (FCM-ANFIS) for Android malware classification. The proposed approach utilizes the FCM clustering method to determine the optimum number …

Go to article

Naive Forecasting Of Household Natural Gas Consumption With Sliding Window Approach, Mustafa Akpinar, Nejat Yumuşak

Turkish Journal of Electrical Engineering and Computer Sciences

Household consumption has a significant importance for natural gas wholesale companies. These companies make one-day-ahead forecasting daily. However, there are penalties depending on the error of the estimates. These penalties increase exponentially depending on the error rate. Several studies have been done to develop mathematical models to forecast natural gas consumption and minimize the error rate. However, before mathematical model predictions, a previous step, data preparation, is also important. The data must be prepared correctly before the mathematical model. At this point, prior to the mathematical model, selecting the appropriate data set size has a vital role. In this study, …

Go to article

A Comparative Analysis Of Classification Methods For Hyperspectral Images Generated With Conventional Dimension Reduction Methods, Ozan Arslan, Özer Akyürek, Şi̇nasi̇ Kaya

Turkish Journal of Electrical Engineering and Computer Sciences

This paper compared performances of classification methods for a hyperspectral image dataset in view of dimensionality reduction (DR). Among conventional DR methods, principal component analysis, maximum noise fraction, and independent component analysis were used for the purpose of dimension reduction. The study was conducted using these DR techniques on a real hyperspectral image, an AVIRIS dataset with 224 bands, throughout the experiments. It was observed that DR may have a significant effect on the classification performance. After the DR methods were applied to the image dataset, the extracted reduced bands were used for testing classification performances. Four commonly used classification …

Go to article

A Game-Theoretic Framework For Active Distribution Network Planning To Benefit Different Participants Under The Electricity Market, Bo Zeng, Jinyue Shi, Junqiang Wen, Jianhua Zhang

Turkish Journal of Electrical Engineering and Computer Sciences

With the deregulation of the power sector, distribution system planning is transforming from the traditional integrated decision mode to the multiple-player-based decentralized paradigm. However, this could potentially cause an adverse impact on the performance of the system due to interest conflict of market players during operations. To address such an issue, this paper develops a game-theoretic framework for active distribution network planning under the electricity market. The interplay between the distribution utility (DISCO) and distributed generation investors (DGO) is formulated as a noncooperative, two-person-based Stackelberg game in which the DISCO, as the leader of the game, makes expansion of the …

Go to article

Unknown Input Observer Based On Lmi For Robust Generation Residuals, Souad Tahraoui, Abdelmadjid Meghabbar, Djamila Boubekeur

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a method of generating robust residuals of a linear system, subject to unknown inputs, is proposed. The impact of disturbances and uncertainty may create difficulties at the decision stage of diagnosis (false alarm); this has resulted in the use of a robust observer for the unknown inputs to ensure the robustness of the system based on the unknown input observer with an optimal decoupling approach, which has a sensitivity that is minimal to unknown inputs and maximal to faults. A generation of robust residuals is then transformed into a problem of robustness/sensitivity constraints (H$_{\infty }$, H and …

Go to article

Dtreesim: A New Approach To Compute Decision Tree Similarity Using Re-Mining, Gözde Bakirli, Derya Bi̇rant

Turkish Journal of Electrical Engineering and Computer Sciences

A number of recent studies have used a decision tree approach as a data mining technique; some of them needed to evaluate the similarity of decision trees to compare the knowledge reflected in different trees or datasets. There have been multiple perspectives and multiple calculation techniques to measure the similarity of two decision trees, such as using a simple formula or an entropy measure. The main objective of this study is to compute the similarity of decision trees using data mining techniques. This study proposes DTreeSim, a new approach that applies multiple data mining techniques (classification, sequential pattern mining, and …

Go to article

Robust Adaptive Fuzzy Control Of A Three-Phase Active Power Filter Based On Feedback Linearization, Shixi Hou, Juntao Fei

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a robust adaptive fuzzy control system using feedback linearization is proposed for a three-phase active power filter (APF). The APF system is divided into two separate loops: the current dynamic inner loop and the DC voltage dynamic outer loop. Adaptive fuzzy tracking control using feedback linearization is employed for the current dynamic inner loop to overcome the drawbacks of the conventional method. The proposed controller can ensure proper tracking of the reference current and impose desired dynamic behavior, giving robustness and insensitivity to parameter variations. Adaptive fuzzy proportional-integral control is applied to the DC voltage dynamics outer …

Go to article

An Online Approach For Feature Selection For Classification In Big Data, Nasrin Banu Nazar, Radha Senthilkumar

Turkish Journal of Electrical Engineering and Computer Sciences

Feature selection (FS), also known as attribute selection, is a process of selection of a subset of relevant features used in model construction. This process or method improves the classification accuracy by removing irrelevant and noisy features. FS is implemented using either batch learning or online learning. Currently, the FS methods are executed in batch learning. Nevertheless, these techniques take longer execution time and require larger storage space to process the entire dataset. Due to the lack of scalability, the batch learning process cannot be used for large data. In the present study, a scalable efficient Online Feature Selection (OFS) …

Go to article

The Impact Of Sampling Frequency And Amplitude Modulation Index On Low Order Harmonics In A 3-Phase Sv-Pvm Voltage Source Inverter, Qamil Kabashi, Myzafere Limani, Nebi Caka, Milaim Zabeli

Turkish Journal of Electrical Engineering and Computer Sciences

Nowadays, variable speed AC motors are widely used in industry and there are many speed adjustment techniques available. In the last decade there has been a trend towards the use of space vector PWM--IGBT inverters, due to easier digital realization and better utilization of the DC bus. Every power inverter produces a total harmonic distortion (THD) on its output that causes extra losses in stator of induction motors. By eliminating a number of low order voltage/current harmonics it is possible to reduce harmonic losses (stator losses) and mechanical oscillations in general. This could be achieved by implementing filters in the …

Go to article

Gica: Imperialist Competitive Algorithm With Globalization Mechanism For Optimization Problems, Yousef Abdi, Mahmoud Lak, Yousef Seyfari

Turkish Journal of Electrical Engineering and Computer Sciences

The imperialist competitive algorithm (ICA) is a recent global search strategy developed based on human social evolutionary phenomena in the real world. However, the ICA has the drawback of trapping in local optimum solutions when used for high-dimensional or complex multimodal functions. In order to deal with this situation, in this paper an improved ICA, named GICA, is proposed that can enhance ICA performance by using a new assimilation method and establishing a relationship between countries inspired by the globalization concept in the real world. The proposed algorithm is evaluated using a set of well-known benchmark functions for global optimization. …

Go to article

Dynamic Model Of Wind Power Balancing In Hybrid Power System, Audrius Jonaitis, Renata Miliune, Tomas Deveikis

Turkish Journal of Electrical Engineering and Computer Sciences

The paper presents a dynamic model of a hybrid power system composed of a wind park, a diesel generator, and an electrochemical energy storage system. The purpose of conventional generating units and energy storage equipment in the hybrid power system is the balancing of fluctuating power generated by renewable energy sources as well as an increase in supplied power quality. The composed dynamic model describes characteristics of the power governor of the diesel generator and dynamic behavior of the energy storage system based on a vanadium redox battery. Simulations are based on sampled data of real wind park power installed …

Go to article

Implementation Of A Personal Area Network For Secure Routing In Manets By Using Low-Cost Hardware, Himadri Nath Saha, Rohit Singh, Debika Bhattacharyya, Pranab Kumar Banerjee

Turkish Journal of Electrical Engineering and Computer Sciences

Presently, mobile ad hoc networks (MANETs) are being used extensively in the defense, private, domestic, etc. fields and each of these emulates a personal area network (PAN). A MANET does not require any infrastructure; moreover, it can behave as a mobile network. These features have boosted the popularity of MANETs in the community. As more and more fields become dependent on MANETs, the system needs to be more energy aware and low cost. To commercialize MANETs, the routing protocols need to be lightweight, secure, and energy efficient, and the hardware on which it is to be implemented should be low …

Go to article

Novel Scheduling Algorithm For Optimizing Real-Time Multimedia Performance In Long Term Evolution-Advanced, Huda Adibah Mohd Ramli, Zairi Ismael Rizman

Turkish Journal of Electrical Engineering and Computer Sciences

Real-time multimedia applications are becoming increasingly popular among mobile cellular users. Given that Long Term Evolution-Advanced (LTE-A), which is an emerging mobile cellular standard, needs to support these multimedia applications, packet scheduling is of paramount importance in LTE-A. This paper proposes a packet scheduling algorithm known as novel scheduling for usage in the downlink of LTE-A. It takes channel quality, average throughput, and packet delay into account when determining the priority of each user. Simulation results demonstrate the efficacy of the proposed algorithm in optimizing real-time multimedia performance for more mobile cellular users.

Go to article

Application Of Singular Value Decomposition Algorithm For Implementing Power Amplifier Linearizer, Rajbir Kaur, Manjeet Singh Patterh

Turkish Journal of Electrical Engineering and Computer Sciences

A power amplifier (PA) is an integral component of all base stations in wireless communication systems and is used for converting DC power supply into radio frequency output power, but PAs are highly nonlinear. To achieve high power conversion efficiency, the PA is operated near saturation, which causes intermodulation products and hence results in nonlinear distortion. Digital predistortion (DPD) is a technique used to compensate for the nonlinear distortion without compromising its efficiency. Fourth Generation Long Term Evolution (4G LTE) systems use a carrier aggregation scheme to combine separate available bandwidths to deliver high data speeds. In this paper the …

Go to article

Sotarm: Size Of Transaction-Based Association Rule Mining Algorithm, Asha Pandian, Jebarajan Thaveethu

Turkish Journal of Electrical Engineering and Computer Sciences

Mining of association rules tries to identify the existence of promising and fruitful relations among the items present in a database. The basic a priori algorithm suffers from multiple database scans, and if the database is large, then the time taken for scanning and generation of candidates is also large. The proposed algorithm attempts to reduce the repeated scanning of the whole database. Using this algorithm, scanning time and also the generation of subitems that are not frequent can be reduced. The former can be done by sorting the transaction records in descending order based on the size of transaction …

Go to article

A Symmetrically Feeding Structure For Dual-Polarized Feeds, Jinyuan Liu, Hui Deng, Bin Ding, Xiaolong Niu

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a symmetrically feeding structure for linear dual-polarized feeds for a compensated compact test range (CCR) and a corresponding wideband balun are put forward. $TM_{01}$ and $TE_{21} $ modes within the circular feeding waveguide are compressed due to its electrical balance. The polarization purity of feeds is then improved. Thus, the level of cross-polarization can be very low, which is the key requirement for CCR. A new wideband balun that acts as a power-divider and phase shifter with low amplitude unbalance and phase unbalance is designed for the new feeding structure. The return loss equation derived from an …

Go to article

Channel Estimation Using An Adaptive Neuro Fuzzy Inference System In The Ofdm-Idma System, Necmi̇ Taşpinar, Şaki̇r Şi̇mşi̇r

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a channel estimator based on an adaptive neuro fuzzy inference system (ANFIS) is proposed for the purpose of estimating channel frequency responses in orthogonal frequency division multiplexing-interleave division multiple access (OFDM-IDMA) systems. To see the performance of our proposed channel estimation method, five different techniques including well-known pilot-based estimation algorithms such as least squares (LS) and minimum mean square error (MMSE) with other heuristic methods like multilayered perceptron (MLP) trained by a backpropagation (BP) algorithm (MLP-BP), MLP trained by the Levenberg--Marquardt (LM) algorithm (MLP-LM), and radial basis function neural network (RBFNN) are compared with our proposed method …

Go to article

Pixel- Versus Object-Based Classification Of Forest And Agricultural Areas From Multiresolution Satellite Images, Di̇jle Boyaci, Mustafa Erdoğan, Ferruh Yildiz

Turkish Journal of Electrical Engineering and Computer Sciences

Managing of natural resources including agriculture and forestry is a very important subject for governments and decision makers. Up-to-date, accurate, and timely geospatial information about natural resources is needed in the management process. Remote sensing technology plays a significant role in the production of this geospatial information. Compared to terrestrial work, the analysis of larger areas with remote sensing techniques can be done on a shorter timescale and at lower cost. Image classification in remote sensing is one of the most popular methods used for the detection of forest and agricultural areas. However, the accuracy of classification changes according to …

Go to article

Full-Text Articles in Physical Sciences and Mathematics

The Most Important Inequalities Of $M$-Convex Functions, Zlatko Pavic, Merve Avci Ardiç

Turkish Journal of Mathematics

On Armendariz-Like Properties In Amalgamated Algebras Along Ideals, Abdeslam Mimouni, Najib Mahdou, Mounir El Ourrachi

Turkish Journal of Mathematics

A Bivariate Sampling Series Involving Mixed Partial Derivatives, Rashad Mudhish Asharabi, Hamoud Al-Haddad

Turkish Journal of Mathematics

Geochemical, Microthermometric, And Isotopic Constraints On The Origin Of Fluorite Deposits In Central Anatolia, Turkey, Peli̇n Coşanay, Ece Kirat, Ni̇hal Çevi̇k, Ceyda Kizilkanat, Hali̇m Mutlu, Şükrü Koç

Turkish Journal of Earth Sciences

Paleoenvironment Of The Late Oligocene From The Kağızman-Tuzluca Basin (Northeastern Anatolia) Based On The Micro- And Macrofloras, Mi̇ne Sezgül Kayseri̇ Özer, Recep Hayretti̇n Sancay, Şevket Şen, Koray Sözeri̇, Gregoire Métais, Turhan Ayyildiz, Baki̇ Erdoğan Varol

Turkish Journal of Earth Sciences

The Discovery Of A Low-Angle Normal Fault In The Taurus Mountains: The İvriz Detachment And Implications Concerning The Cenozoic Geology Of Southern Turkey, Gürol Seyi̇toğlu, Veysel Işik, Esra Gürbüz, Alper Gürbüz

Turkish Journal of Earth Sciences

The Impact Of Eustasy, Tectonics, And Paleoclimate On The Dolomitization Of The Syn-Rift Neogene Carbonate Platforms In The Red Sea Coastal Area, Egypt, Abdallah Mohammed Hassan

Turkish Journal of Earth Sciences

Crustal S-Wave Structure Around The Lake Van Region (Eastern Turkey) From Interstation Rayleigh Wave Phase Velocity Analyses, Hakan Çinar, Hamdi̇ Alkan

Turkish Journal of Earth Sciences

Marine Effects On Vertical Electrical Soundings Along Shorelines, Emi̇n Uğur Ulugergerli̇

Turkish Journal of Earth Sciences

Active Faults In The Anatolian-Aegean Plate Boundary Region With Nubia, Ali̇ Değer Özbakir, Rob Govers, Rinus Wortel

Turkish Journal of Earth Sciences

Maastrichtian-Thanetian Planktonic Foraminiferal Biostratigraphy And Remarks On The K-Pg Boundary In The Southern Kocaeli Peninsula (Nw Turkey), Volkan Sarigül, Aynur Hakyemez, Okan Tüysüz, Şengül Can Genç, İsmai̇l Ömer Yilmaz, Ercan Özcan

Turkish Journal of Earth Sciences

Sulfur Isotope Characteristics Of The Permian Vhms Deposits In Tasik Chini District, Central Belt Of Peninsular Malaysia, Mohd Basril Iswadi Basori, Khin Zaw, Robert Ross Large, Wan Fuad Wan Hassan

Turkish Journal of Earth Sciences

Android Malware Classification Based On Anfis With Fuzzy C-Means Clustering Using Significant Application Permissions, Altyeb Altaher, Omar Barukab

Turkish Journal of Electrical Engineering and Computer Sciences

Naive Forecasting Of Household Natural Gas Consumption With Sliding Window Approach, Mustafa Akpinar, Nejat Yumuşak

Turkish Journal of Electrical Engineering and Computer Sciences

A Comparative Analysis Of Classification Methods For Hyperspectral Images Generated With Conventional Dimension Reduction Methods, Ozan Arslan, Özer Akyürek, Şi̇nasi̇ Kaya

Turkish Journal of Electrical Engineering and Computer Sciences

A Game-Theoretic Framework For Active Distribution Network Planning To Benefit Different Participants Under The Electricity Market, Bo Zeng, Jinyue Shi, Junqiang Wen, Jianhua Zhang

Turkish Journal of Electrical Engineering and Computer Sciences

Unknown Input Observer Based On Lmi For Robust Generation Residuals, Souad Tahraoui, Abdelmadjid Meghabbar, Djamila Boubekeur

Turkish Journal of Electrical Engineering and Computer Sciences

Dtreesim: A New Approach To Compute Decision Tree Similarity Using Re-Mining, Gözde Bakirli, Derya Bi̇rant

Turkish Journal of Electrical Engineering and Computer Sciences

Robust Adaptive Fuzzy Control Of A Three-Phase Active Power Filter Based On Feedback Linearization, Shixi Hou, Juntao Fei

Turkish Journal of Electrical Engineering and Computer Sciences

An Online Approach For Feature Selection For Classification In Big Data, Nasrin Banu Nazar, Radha Senthilkumar

Turkish Journal of Electrical Engineering and Computer Sciences

The Impact Of Sampling Frequency And Amplitude Modulation Index On Low Order Harmonics In A 3-Phase Sv-Pvm Voltage Source Inverter, Qamil Kabashi, Myzafere Limani, Nebi Caka, Milaim Zabeli

Turkish Journal of Electrical Engineering and Computer Sciences

Gica: Imperialist Competitive Algorithm With Globalization Mechanism For Optimization Problems, Yousef Abdi, Mahmoud Lak, Yousef Seyfari

Turkish Journal of Electrical Engineering and Computer Sciences

Dynamic Model Of Wind Power Balancing In Hybrid Power System, Audrius Jonaitis, Renata Miliune, Tomas Deveikis

Turkish Journal of Electrical Engineering and Computer Sciences

Implementation Of A Personal Area Network For Secure Routing In Manets By Using Low-Cost Hardware, Himadri Nath Saha, Rohit Singh, Debika Bhattacharyya, Pranab Kumar Banerjee

Turkish Journal of Electrical Engineering and Computer Sciences

Novel Scheduling Algorithm For Optimizing Real-Time Multimedia Performance In Long Term Evolution-Advanced, Huda Adibah Mohd Ramli, Zairi Ismael Rizman

Turkish Journal of Electrical Engineering and Computer Sciences

Application Of Singular Value Decomposition Algorithm For Implementing Power Amplifier Linearizer, Rajbir Kaur, Manjeet Singh Patterh

Turkish Journal of Electrical Engineering and Computer Sciences

Sotarm: Size Of Transaction-Based Association Rule Mining Algorithm, Asha Pandian, Jebarajan Thaveethu

Turkish Journal of Electrical Engineering and Computer Sciences

A Symmetrically Feeding Structure For Dual-Polarized Feeds, Jinyuan Liu, Hui Deng, Bin Ding, Xiaolong Niu

Turkish Journal of Electrical Engineering and Computer Sciences

Channel Estimation Using An Adaptive Neuro Fuzzy Inference System In The Ofdm-Idma System, Necmi̇ Taşpinar, Şaki̇r Şi̇mşi̇r

Turkish Journal of Electrical Engineering and Computer Sciences

Pixel- Versus Object-Based Classification Of Forest And Agricultural Areas From Multiresolution Satellite Images, Di̇jle Boyaci, Mustafa Erdoğan, Ferruh Yildiz

Turkish Journal of Electrical Engineering and Computer Sciences