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You searched for: Subject algorithms Remove constraint Subject: algorithms Subject term Turkey (country) Remove constraint Subject term: Turkey (country)
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1. Embedding machine learning techniques into a conceptual model to improve monthly runoff simulation: A nested hybrid rainfall-runoff modeling

Author:
Umut Okkan; Zeynep Beril Ersoy; Ahmet Ali Kumanlioglu; Okan Fistikoglu
Source:
Journal of hydrology 2021 v.598 pp. 126433
ISSN:
0022-1694
Subject:
Turkey (country); algorithms; hybridization; hybrids; regression analysis; runoff; watersheds
Abstract:
... One of the frequently adopted hybridizations within the scope of rainfall-runoff modeling rests on directing various outputs simulated from the conceptual rainfall-runoff (CRR) models to machine learning (ML) techniques. In those coupled model exercises, after the parameter calibrations of the CRR models are made, their specific outputs constitute auxiliary inputs for the ML model training. Howeve ...
DOI:
10.1016/j.jhydrol.2021.126433

2. Genetic Diversities and Historical Dynamics of Native Ethiopian Horse Populations (Equus caballus) Inferred from Mitochondrial DNA Polymorphisms

Author:
Kefena Effa; Sonia Rosenbom; Jianlin Han; Tadelle Dessie; Albano Beja-Pereira
Source:
Genes 2021 v.12 no.2 pp. -
ISSN:
2073-4425
Subject:
Turkey (country); algorithms; genetic distance; genetic variation; haplotypes; horses; mitochondrial DNA; nucleotide sequences
Abstract:
... Matrilineal genetic diversity and relationship were investigated among eight morphologically identified native Ethiopian horse populations using polymorphisms in 46 mtDNA D-loop sequences (454 base pairs). The horse populations identified were Abyssinian, Bale, Borana, Horro, Kafa, Kundido feral horses, Ogaden and Selale. Mitochondrial DNA D-loop sequences were characterized by 15 variable sites t ...
DOI:
10.3390/genes12020155

3. A CMOPSO based multi-objective optimization of renewable energy planning: Case of Turkey

Author:
Kaan Deveci; Önder Güler
Source:
Renewable energy 2020 v.155 pp. 578-590
ISSN:
0960-1481
Subject:
algorithms; biomass; cost effectiveness; cost estimates; electricity; electricity generation; models; multi-criteria decision making; planning; power plants; solar energy; wind power; Turkey (country)
Abstract:
... In this paper, a two step multi-objective optimization framework of renewable energy planning is proposed for Turkey. In the first step, optimization process is performed and in the second step a multi-criteria decision making based selection strategy is applied to select a solution from non-dominated solution set. The objectives are selected as minimization of levelized cost of electricity plan a ...
DOI:
10.1016/j.renene.2020.03.033

4. Characterizing and correcting phase biases in short-term, multilooked interferograms

Author:
Yasser Maghsoudi; Andrew J. Hooper; Tim J. Wright; Milan Lazecky; Homa Ansari
Source:
Remote sensing of environment 2022 v.275 pp. 113022
ISSN:
0034-4257
Subject:
Turkey (country); algorithms; autumn; cropland; deformation; environment; interferometry; spring; subsidence; synthetic aperture radar
Abstract:
... Interferometric Synthetic Aperture Radar (InSAR) is widely used to measure deformation of the Earth's surface over large areas and long time periods. A common strategy to overcome coherence loss in long-term interferograms is to use multiple multilooked shorter interferograms, which can cover the same time period but maintain coherence. However, it has recently been shown that using this strategy ...
DOI:
10.1016/j.rse.2022.113022

5. Comparison of different classification algorithms to identify geographic origins of olive oils

Author:
Ozgur Gumus; Erkan Yasar; Z. Pinar Gumus; Hasan Ertas
Source:
Journal of food science and technology 2020 v.57 no.4 pp. 1535-1543
ISSN:
0022-1155
Subject:
algorithms; artificial intelligence; chemical analysis; foods; models; olive oil; provenance; regression analysis; stable isotopes; sterols; trace elements; Turkey (country)
Abstract:
... Research on investigation and determination of geographic origins of olive oils is increased by consumers’ demand to authenticated olive oils. Classification algorithms which are machine learning methods can be employed for the authentication of olive oils. In this study, different classification algorithms were evaluated to reveal the most accurate one for authentication of Turkish olive oils. Ba ...
DOI:
10.1007/s13197-019-04189-4
PubMed:
32180650
PubMed Central:
PMC7054565

6. Genome-wide association study identifies various loci underlying agronomic and morphological traits in diversified potato panel

Author:
Muhammad Abu Bakar Zia; Ufuk Demirel; Muhammad Azhar Nadeem; Mehmet Emin Çaliskan
Source:
Physiology and molecular biology of plants 2020 v.26 no.5 pp. 1003-1020
ISSN:
0971-5894
Subject:
Solanum tuberosum; agronomic traits; algorithms; breeding programs; crop yield; food crops; genome-wide association study; genomics; genotype; linear models; loci; potatoes; tetraploidy; tubers; Turkey (country)
Abstract:
... Potato is one of the most important food crops all over the world. Breeding activities for this crop are mainly aimed to improve the quality and yield of tuber. However, genetic architecture of various traits contributing to the quality and yield of potato are not yet completely understood. Genome wide association studies provides a broader way to identify the genomic regions associated with vario ...
DOI:
10.1007/s12298-020-00785-3
PubMed:
32377049
PubMed Central:
PMC7196606

7. Long-term retrospective investigation of a large, deep-seated, and slow-moving landslide using InSAR time series, historical aerial photographs, and UAV data: The case of Devrek landslide (NW Turkey)

Author:
Remzi Eker; Abdurrahim Aydın
Source:
Catena 2021 v.196 pp. 104895
ISSN:
0341-8162
Subject:
Turkey (country); algorithms; catenas; data collection; flight; interferometry; landslides; orthophotography; photogrammetry; synthetic aperture radar; time series analysis; unmanned aerial vehicles
Abstract:
... This study presents a successful combination of different remote sensing data used in a long-term retrospective investigation of a large and destructive deep-seated, slow-moving landslide reactivated on 16 July 2015 in Devrek District (Zonguldak, Turkey). To this aim, Synthetic Aperture Radar (SAR) data were used for Interferometric SAR (InSAR) time-series analysis together with unmanned aerial ve ...
DOI:
10.1016/j.catena.2020.104895

8. Nest Survival and Transplantation Success of Formica rufa (Hymenoptera: Formicidae) Ants in Southern Turkey: A Predictive Approach

Author:
Ayhan Serttaş; Özer Bakar; Uğur Melih Alkan; Arif Yılmaz; Halil İbrahim Yolcu; Kahraman İpekdal
Source:
Forests 2020 v.11 no.5 pp. -
ISSN:
1999-4907
Subject:
Formica rufa; algorithms; altitude; ant nests; biological control; canopy; decision support systems; descriptive statistics; forestry; forests; habitats; landforms; planning; prediction; Turkey (country)
Abstract:
... Research highlights: Formica rufa is used widely for biocontrol in Turkish forests. Although ecological characteristics of red wood ant habitats are well known, the statistical significance of these characteristics and their effects on nest transplantation success are largely unknown. Having such knowledge on a local scale, however, can help to predict the success of a scheduled transplantation ef ...
DOI:
10.3390/f11050533

9. An improved cluster-based snake model for automatic agricultural field boundary extraction from high spatial resolution imagery

Author:
Saman Ghaffarian; Mustafa Turker
Source:
International journal of remote sensing 2019 v.40 no.4 pp. 1217-1247
ISSN:
1366-5901
Subject:
agricultural industry; agricultural land; algorithms; corn; crops; models; remote sensing; rice; Turkey (country)
Abstract:
... Agricultural field boundary information is important and often required for the geosciences and the agricultural sector. In this paper, a novel method is developed to extract sub-boundaries within the permanent boundaries of agricultural land parcels from high-resolution optical satellite imagery using an improved cluster-based snake model. The method takes the advantage of the results of an autom ...
DOI:
10.1080/01431161.2018.1524178

10. Detection of sunn pest‐damaged wheat grains using artificial bee colony optimization‐based artificial intelligence techniques

Author:
Kadir Sabanci
Source:
Journal of the science of food and agriculture 2020 v.100 no.2 pp. 817-824
ISSN:
0022-5142
Subject:
Triticum; algorithms; artificial intelligence; computer software; durum wheat; image analysis; neural networks; texture; user interface; Turkey (country)
Abstract:
... BACKGROUND: In this study, artificial intelligence models that identify sunn pest‐damaged wheat grains (SDG) and healthy wheat grains (HWG) are presented. Svevo durum wheat cultivated in Konya province, Turkey is used for the process, with 150 HWG and 150 SDG being used for classification. Thanks to the constructed imaging setup, photos of the 300 wheat grains are obtained. Seventeen visual featur ...
DOI:
10.1002/jsfa.10093

11. Evaluation of potential modeling approaches for Scots pine stem diameter prediction in north-eastern Turkey

Author:
Ramazan Özçelik; Maria J. Diamantopoulou; Guillermo Trincado
Source:
Computers and electronics in agriculture 2019 v.162 pp. 773-782
ISSN:
0168-1699
Subject:
Pinus sylvestris; algorithms; equations; forest ecosystems; forest management; neural networks; prediction; regression analysis; tree trunk; trees; Turkey (country)
Abstract:
... Critical forest management decisions are strongly supported by the knowledge of forest ecosystems and their features. There is a growing trend towards using models to predict the most accurate yield projections for forest management. In this research area, features of standing trees, such as diameters along the tree bole, are of much interest. This paper is focused on the construction and evaluati ...
DOI:
10.1016/j.compag.2019.05.033

12. Future of renewable energy consumption in France, Germany, Italy, Spain, Turkey and UK by 2030 using optimized fractional nonlinear grey Bernoulli model

Author:
Utkucan Şahin
Source:
Sustainable Production and Consumption 2021 v.25 pp. 1-14
ISSN:
2352-5509
Subject:
algorithms; energy; models; renewable energy sources; France; Germany; Italy; Spain; Turkey (country); United Kingdom
Abstract:
... In this study, gross final energy consumption (GFEC), energy consumption of renewable energy sources (RES) and its share in France, Germany, Italy, Spain, Turkey and the United Kingdom (UK) are forecasted by 2030. A novel model is proposed in this study which is called optimized fractional nonlinear grey Bernoulli model, briefly as OFANGBM(1,1). In this model, three parameters, which are backgroun ...
DOI:
10.1016/j.spc.2020.07.009

13. Identification of hydrocarbon microseepage induced alterations with spectral target detection and unmixing algorithms

Author:
Hilal Soydan; Alper Koz; H. Şebnem Düzgün
Source:
International journal of applied earth observation and geoinformation 2019 v.74 pp. 209-221
ISSN:
1569-8432
Subject:
Advanced Spaceborne Thermal Emission and Reflection Radiometer; Turkey (country); algorithms; cost effectiveness; mineral content; principal component analysis; sisal; spatial data; spectrometers
Abstract:
... Hydrocarbon micro and macro seeps alter chemical and mineral composition of the Earth’s surface, providing prospects for detection with remote sensing tools. There have been several studies focusing on mapping these anomalies by utilizing ever evolving multispectral and hyperspectral imaging instruments, which has proven their capacity for mapping both hydrocarbons and hydrocarbon-induced alterati ...
DOI:
10.1016/j.jag.2018.08.001

14. Metaheuristic pansharpening based on symbiotic organisms search optimization

Author:
Cigdem Serifoglu Yilmaz; Volkan Yilmaz; Oguz Gungor; Jie Shan
Source:
ISPRS journal of photogrammetry and remote sensing 2019 v.158 pp. 167-187
ISSN:
0924-2716
Subject:
algorithms; computer software; land cover; orthophotography; Turkey (country)
Abstract:
... This study proposed a metaheuristic pansharpening (MP) method, which performs in a Synthetic Variable Ratio (SVR)-like manner. The proposed method introduced the Symbiotic Organisms Search (SOS) algorithm, an advanced nature-based optimization algorithm, to estimate a weight for each multispectral (MS) band to achieve the optimum intensity. The SVR pansharpening formula was used as the objective f ...
DOI:
10.1016/j.isprsjprs.2019.10.014

15. Quantifying object similarity: Applying locality sensitive hashing for comparing material culture

Author:
Mark Altaweel; Andrea Squitieri
Source:
Journal of archaeological science 2020 v.123 pp. 105257
ISSN:
0305-4403
Subject:
Cyprus; Turkey (country); algorithms; archaeology; data collection; rapid methods; Egypt; Iran
Abstract:
... We present a novel technique that compares and quantifies images used here to compare similarities between material cultures. This method is based on locality sensitive hashing (LSH), which uses a relatively fast and flexible algorithm to compare image data and determine their level of similarity. This technique is applied to a dataset of sculpture faces from the Aegean, Anatolia, Cyprus, Egypt, I ...
DOI:
10.1016/j.jas.2020.105257

16. The implementation of univariable scheme-based air temperature for solar radiation prediction: New development of dynamic evolving neural-fuzzy inference system model

Author:
Ozgur Kisi; Salim Heddam; Zaher Mundher Yaseen
Source:
Applied energy 2019 v.241 pp. 184-195
ISSN:
0306-2619
Subject:
air temperature; algorithms; fuzzy logic; model validation; prediction; regression analysis; solar radiation; summer; Turkey (country)
Abstract:
... New development of dynamic evolving neural-fuzzy inference system model was proposed for modeling solar radiation based on univariable air temperature scheme. The proposed predictive model was validated against several robust heuristic regression models including multivariate adaptive regression spline, M5 model tree and least square support vector regression. Historical data of solar radiation an ...
DOI:
10.1016/j.apenergy.2019.03.089

17. Using Cosmic-Ray Neutron Probes in Validating Satellite Soil Moisture Products and Land Surface Models

Author:
Mustafa Berk Duygu; Zuhal Akyürek
Source:
Water 2019 v.11 no.7 pp. -
ISSN:
2073-4441
Subject:
Soil Moisture and Ocean Salinity satellite; algorithms; climate change; databases; microwave radiometers; models; neutron probes; neutrons; semiarid zones; soil water; soil water content; storms; Turkey (country)
Abstract:
... Soil moisture content is one of the most important parameters of hydrological studies. Cosmic-ray neutron sensing is a promising proximal soil moisture sensing technique at intermediate scale and high temporal resolution. In this study, we validate satellite soil moisture products for the period of March 2015 and December 2018 by using several existing Cosmic Ray Neutron Probe (CRNP) stations of t ...
DOI:
10.3390/w11071362

18. A New SEBAL Approach Modified with Backtracking Search Algorithm for Actual Evapotranspiration Mapping and On-Site Application

Author:
Umit Haluk Atasever; Coskun Ozkan
Source:
Journal of the Indian Society of Remote Sensing 2018 v.46 no.8 pp. 1213-1222
ISSN:
0255-660X
Subject:
Landsat; algorithms; energy balance; evapotranspiration; expert opinion; irrigation water; planning; remote sensing; t-test; water management; Turkey (country)
Abstract:
... Actual evapotranspiration is one of the most important component for efficient water management and planning. Until recently, evapotranspiration computations and measurements have been performed locally. But, in recent years, actual evapotranspiration computations can be calculated regionally thanks to improvements on remote sensing discipline and satellites. Surface Energy Balance Algorithm for L ...
DOI:
10.1007/s12524-018-0816-9

19. A method of strategic evaluation of energy performance of Building Integrated Photovoltaic in the urban context

Author:
V. Costanzo; R. Yao; E. Essah; L. Shao; M. Shahrestani; A.C. Oliveira; M. Araz; A. Hepbasli; E. Biyik
Source:
Journal of cleaner production 2018 v.184 pp. 82-91
ISSN:
0959-6526
Subject:
algorithms; buildings; climatic factors; data collection; electricity generation; energy policy; grasshoppers; models; renewable energy sources; solar radiation; Turkey (country)
Abstract:
... This paper presents an integrated bottom-up approach aimed at helping those dealing with strategical analysis of installation of Building Integrated Photo Voltaic (BIPV) to estimate the electricity production potential along with the energy needs of urban buildings at the district scale. On the demand side, hourly energy profiles are generated using dynamic building simulation taking into account ...
DOI:
10.1016/j.jclepro.2018.02.139

20. A three-class change detection methodology for SAR-data based on hypothesis testing and Markov Random field modelling

Author:
Wenxi Cao; André Twele; Simon Plank; Sandro Martinis
Source:
International journal of remote sensing 2018 v.39 no.2 pp. 488-504
ISSN:
1366-5901
Subject:
algorithms; coasts; energy; probabilistic models; probability distribution; remote sensing; rivers; synthetic aperture radar; system optimization; Greece; Turkey (country)
Abstract:
... This study presents a new automatic change detection process chain based on bi-temporal co-registered and calibrated Sentinel-1 level-1 Interferometric Wide Ground Range Detected C-band synthetic aperture radar intensity imagery. The whole processor contains three main components: firstly, a preprocessing step is used to perform geometrical and radiometrical calibration. Secondly, an automatic coa ...
DOI:
10.1080/01431161.2017.1384590

21. Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation

Author:
Ali Etem Gürel; Ümit Ağbulut; Yunus Biçen
Source:
Journal of cleaner production 2020 v.277 pp. 122353
ISSN:
0959-6526
Subject:
algorithms; ambient temperature; artificial intelligence; data collection; empirical models; energy conversion; equipment; issues and policy; prediction; relative humidity; response surface methodology; solar energy; solar radiation; time series analysis; weather stations; wind speed; Turkey (country)
Abstract:
... Solar radiation (SR) knowledge plays a vital role in the design, modelling, and operation of solar energy conversion systems and future energy investment policies of the governments. However, these data are not measured for all regions due to the non-availability of SR measurement equipment at the weather stations. Therefore, SR has to be accurately predicted using various prediction models. In th ...
DOI:
10.1016/j.jclepro.2020.122353

22. Comparative thermodynamic evaluation of a geothermal power plant by using the advanced exergy and artificial bee colony methods

Author:
Osman Özkaraca; Ali Keçebaş; Cihan Demircan
Source:
Energy 2018 v.156 pp. 169-180
ISSN:
0360-5442
Subject:
algorithms; decision making; exergy; geothermal energy; heat exchangers; power plants; simulation models; system optimization; Turkey (country)
Abstract:
... In this study, the thermodynamic performance of a binary geothermal power plant (GPP) is comparatively evaluated using the exergy analysis and optimization method. Thus, in addition to routes to improve the thermodynamic performance of the system, the thermodynamic relationships between the system components and improvement performances of the components are determined. With this aim, the Sinem GP ...
DOI:
10.1016/j.energy.2018.05.095

23. Exergetic and economic analysis of a solar driven small scale ORC

Author:
Tryfon C. Roumpedakis; George Loumpardis; Evropi Monokrousou; Konstantinos Braimakis; Antonios Charalampidis; Sotirios Karellas
Source:
Renewable energy 2020 v.157 pp. 1008-1024
ISSN:
0960-1481
Subject:
algorithms; climatic factors; collectors; economic analysis; electricity generation; energy conservation; exergy; power generation; primary energy; solar collectors; solar energy; Cyprus; Mediterranean region; Turkey (country)
Abstract:
... The continuous increase in the energy demand and the reduction on fossil fuels reservoirs has shifted interest towards more “green” alternatives for decentralized power production. This study focuses on the design optimization and performance assessment of a small-scale, low-temperature solar driven ORC for application in South-East Mediterranean region under multiple scenarios including different ...
DOI:
10.1016/j.renene.2020.05.016

24. Fault Scarp Dating Tool - a MATLAB code for fault scarp dating using in-situ chlorine-36 supplemented with datasets of Yavansu and Kalafat faults

Author:
Dmitry Tikhomirov; Nasim Mozafari Amiri; Susan Ivy-Ochs; Vasily Alfimov; Christof Vockenhuber; Naki Akçar
Source:
Data in Brief 2019 v.26 pp. 104476
ISSN:
2352-3409
Subject:
Monte Carlo method; Turkey (country); algorithms; data collection; user interface
Abstract:
... We publish a MATLAB code used to analyze concentration profile of cosmogenic ³⁶Cl accumulated in-situ through a rupture history of the fault scarps in western Turkey (Mozafari et al., 2019). The code is a version of the forward modeling Matlab code -Fault Scarp Dating Tool- (Tikhomirov, 2014). The code models a ³⁶Cl profile accumulated in the fault scarp surface through a guessed rupture history, ...
DOI:
10.1016/j.dib.2019.104476

25. Forecasting soil temperature at multiple-depth with a hybrid artificial neural network model coupled-hybrid firefly optimizer algorithm

Author:
Saeed Samadianfard; Mohammad Ali Ghorbani; Babak Mohammadi
Source:
Information processing in agriculture 2018 v.5 no.4 pp. 465-476
ISSN:
2214-3173
Subject:
Lampyridae; air temperature; algorithms; decision making; energy transfer; neural networks; periodicity; risk assessment; soil depth; soil temperature; soil water; solar radiation; Turkey (country)
Abstract:
... Forecasting soil temperature at multiple depths is considered to be a core decision-making task for examining future changes in surface and sub-surface meteorological processes, land–atmosphere energy exchange, resilient agricultural systems for improved crop health and eco-environmental risk assessment. The aim of this paper is to estimate monthly soil temperature (ST) at multiple depth: 5, 10, 2 ...
DOI:
10.1016/j.inpa.2018.06.005

26. Geographical description and molecular characterization of genetic structure and diversity using a 6K SNP array in Turkish oat germplasm

Author:
Gönül Cömertpay; Ephrem Habyarimana; Faheem Shehzad Baloch; Hüseyin Güngör; Tevrican Dokuyucu; Aydın Akkaya; Ziya Dumlupinar
Source:
Canadian journal of plant science 2018 v.99 no.1 pp. 12-21
ISSN:
1918-1833
Subject:
Avena sativa; algorithms; cultivars; gene banks; gene pool; genetic distance; genetic variation; genomics; germplasm; heterozygosity; inbreeding; inbreeding coefficient; kinship; landraces; oats; population structure; provenance; single nucleotide polymorphism; Turkey (country)
Abstract:
... Cultivated oat (Avena sativa L. and Avena byzantina Koch) is native to Turkey, a secondary center of oat diversity. Oat breeding has received less attention relative to other cereals. In this work, the diversity of oat landraces collected from different regions of Turkey as well as obtained from different gene banks was investigated using 3293 high quality SNP markers. Expected heterozygosity (Hs) ...
DOI:
10.1139/cjps-2017-0293

27. Impact of drivers of change, including climatic factors, on the occurrence of chemical food safety hazards in fruits and vegetables: A Bayesian Network approach

Author:
Yamine Bouzembrak; Hans J.P. Marvin
Source:
Food control 2019 v.97 pp. 67-76
ISSN:
0956-7135
Subject:
agricultural budgets; algorithms; climatic factors; economic factors; fertilizer application; food safety; food supply chain; fruit products; human behavior; maximum residue limits; pesticides; prediction; prices; risk; supply chain; temperature; vegetables; India; Netherlands; Turkey (country)
Abstract:
... The presence and development of many food safety risks are driven by factors within and outside the food supply chain, such as climate, economy and human behaviour. The interactions between these factors and the supply chain are complex and a system or holistic approach is needed to reveal cause-effect relationships and to be able to perform effective mitigation actions to minimise food safety ris ...
DOI:
10.1016/j.foodcont.2018.10.021

28. Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey

Author:
Mohammad Ali Ghorbani; Ravinesh C. Deo; Vahid Karimi; Zaher Mundher Yaseen; Ozlem Terzi
Source:
Stochastic environmental research and risk assessment 2018 v.32 no.6 pp. 1683-1697
ISSN:
1436-3240
Subject:
algorithms; lakes; neural networks; prediction; semiarid zones; Turkey (country)
Abstract:
... The predictive ability of a hybrid model integrating the Firefly Algorithm (FFA), as a heuristic optimization tool with the Multilayer Perceptron (MLP-FFA) algorithm for the prediction of water level in Lake Egirdir, Turkey, is investigated. The accuracy of the hybrid MLP-FFA model is then evaluated against the standalone MLP-based model developed with the Levenberg–Marquadt optimization scheme ap ...
DOI:
10.1007/s00477-017-1474-0

29. Investigation of landslide detection using radial basis functions: a case study of the Taşkent landslide, Turkey

Author:
Mustafa Zeybek; İsmail Şanlıoğlu
Source:
Environmental monitoring and assessment 2020 v.192 no.4 pp. 230
ISSN:
0167-6369
Subject:
algorithms; case studies; computer vision; data collection; digital elevation models; forests; geodesy; landslides; satellites; spatial data; surveys; unmanned aerial vehicles; Turkey (country)
Abstract:
... This paper investigates landslide detection over flat and steep-slope areas with large forest cover using different radial basis function interpolation methods, which can affect the quality of a digital elevation model. Unmanned aerial vehicles have been widely used in landslide detection studies. The generation of image-based point clouds is achievable with various matching algorithms from comput ...
DOI:
10.1007/s10661-020-8101-0

30. Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

Author:
Ozgur Kisi; Meysam Alizamir
Source:
Agricultural and forest meteorology 2018 v.263 pp. 41-48
ISSN:
0168-1923
Subject:
agricultural management; algorithms; carbon; climate; evapotranspiration; neural networks; relative humidity; solar radiation; temperature; water resources; wavelet; wind speed; Turkey (country)
Abstract:
... Evapotranspiration is an important parameter in linking ecosystem functioning, climate and carbon feedbacks, agricultural management, and water resources. This study investigates the applicability of wavelet extreme learning machine (WELM) model which uses discrete wavelet transform and ELM methods in estimating daily reference evapotranspiration (ET0). Various combination of climatic data of temp ...
DOI:
10.1016/j.agrformet.2018.08.007

31. Polynomial chaos expansion and response surface method for nonlinear modelling of reference evapotranspiration

Author:
Behrooz Keshtegar; Ozgur Kisi; Mohammad Zounemat-Kermani
Source:
Hydrological sciences journal 2019 v.64 no.6 pp. 720-730
ISSN:
2150-3435
Subject:
air temperature; algorithms; evapotranspiration; nonlinear models; relative humidity; response surface methodology; solar radiation; wind speed; Mediterranean region; Turkey (country)
Abstract:
... The feasibility of polynomial chaos expansion (PCE) and response surface method (RSM) models is investigated for modelling reference evapotranspiration (ET₀). The modelling results of the proposed models are validated against the M5 model tree and multi-layer perceptron neural network (MLPNN) methods. Two meteorological stations, Isparta and Antalya, in the Mediterranean region of Turkey, are insp ...
DOI:
10.1080/02626667.2019.1601727

32. Rapid detection of adulteration of milks from different species using Fourier Transform Infrared Spectroscopy (FTIR)

Author:
Olgun Cirak; N. Cihat Icyer; M. Zeki Durak
Source:
Journal of dairy research 2018 v.85 no.2 pp. 222-225
ISSN:
1469-7629
Subject:
Fourier transform infrared spectroscopy; adulterated products; algorithms; buffalo milk; buffaloes; chemometrics; cows; milk; rapid methods; sheep; Turkey (country)
Abstract:
... The aim of the studies reported in the Research Communication was to develop a rapid spectroscopic technique as an alternative method for the classification and discrimination of milk sources by Fourier transform infrared spectroscopy (FTIR). Cow, sheep and water buffalo milk samples were collected from various local milk producers in Istanbul, Turkey. In addition, various brands of packaged milk ...
DOI:
10.1017/S0022029918000201

33. Season Algorithm-Multigene Genetic Programming: A New Approach for Rainfall-Runoff Modelling

Author:
Ali Danandeh Mehr; Vahid Nourani
Source:
Water resources management 2018 v.32 no.8 pp. 2665-2679
ISSN:
0920-4741
Subject:
algorithms; artificial intelligence; autocorrelation; hydrologic models; prediction; runoff; stream flow; watersheds; Turkey (country)
Abstract:
... Genetic programming (GP) is recognized as a robust machine learning method for rainfall-runoff modelling. However, it may produce lagged forecasts if autocorrelation feature of runoff series is not taken carefully into account. To enhance timing accuracy of GP-based rainfall-runoff models, the paper proposes a new rainfall-runoff model that integrates season algorithm (SA) with multigene-GP (MGGP) ...
DOI:
10.1007/s11269-018-1951-3

34. A new fuzzy time series model based on robust clustering for forecasting of air pollution

Author:
Nevin Güler Dincer; Özge Akkuş
Source:
Ecological informatics 2018 v.43 pp. 157-164
ISSN:
1574-9541
Subject:
air pollution; algorithms; data collection; models; monitoring; sulfur dioxide; time series analysis; uncertainty; Turkey (country)
Abstract:
... In this study, a new Fuzzy Time Series (FTS) model based on the Fuzzy K-Medoid (FKM) clustering algorithm is proposed in order to forecast air pollution. FTS models generally have some advantages when compared with other techniques used in forecasting of air pollution as they do not require any statistical assumptions on time series data; and they provide successful forecasting results even in sit ...
DOI:
10.1016/j.ecoinf.2017.12.001

35. An integrated fuzzy QFD and TOPSIS methodology for choosing the ideal gas fuel at WWTPs

Author:
Halil Akbaş; Bilge Bilgen
Source:
Energy 2017 v.125 pp. 484-497
ISSN:
0360-5442
Subject:
algorithms; biogas; energy; energy conservation; engineering; humans; hydrocarbons; landfills; models; multi-criteria decision making; natural gas; selection criteria; wastewater treatment; Turkey (country)
Abstract:
... Increase of population, development of industry, environmental problems and continuous energy consumption in the world render renewable energy resources crucial. This paper focuses on multiple criteria decision making (MCDM) models for energy saving and using energy resources efficiently in order to maintain sustainable operations at wastewater treatment plants (WWTPs). An integrated fuzzy quality ...
DOI:
10.1016/j.energy.2017.02.153

36. An urbanization algorithm for districts with minimized emissions based on urban planning and embodied energy towards net-zero exergy targets

Author:
Şiir Kılkış; Birol Kılkış
Source:
Energy 2019 v.179 pp. 392-406
ISSN:
0360-5442
Subject:
algorithms; buildings; carbon dioxide; case studies; construction materials; decision making; embodied energy; emissions; exergy; supply balance; urban planning; urbanization; Turkey (country)
Abstract:
... The realization of net-zero exergy districts can be supported by urbanization options for district density and building characteristics. This research work formulates an urbanization algorithm to minimize the carbon dioxide emissions responsibility of districts based on energy usage and aspects of embodied energy to tackle multiple drivers of urban emissions. The combined method is implemented to ...
DOI:
10.1016/j.energy.2019.04.065

37. Automatic Pipeline Route Design with Multi-Criteria Evaluation Based on Least-Cost Path Analysis and Line-Based Cartographic Simplification: A Case Study of the Mus Project in Turkey

Author:
Ali İhsan Durmaz; Erdinç Örsan Ünal; Cevdet Coşkun Aydın
Source:
ISPRS international journal of geo-information 2019 v.8 no.4 pp. -
ISSN:
2220-9964
Subject:
Mus; algorithms; case studies; geographic information systems; natural gas; path analysis; petroleum; topology; Turkey (country)
Abstract:
... The design of a natural gas pipeline route is a very important stage in Natural Gas Transmission Pipeline projects. It is a very complicated process requiring many different criteria for various areas to be evaluated simultaneously. These criteria include geographical, social, economic, and environmental aspects with their obstacles. In the classical approach, the optimum route design is usually d ...
DOI:
10.3390/ijgi8040173

38. Estimating transportation energy demand in Turkey using the artificial bee colony algorithm

Author:
Mustafa Sonmez; Ali Payıdar Akgüngör; Salih Bektaş
Source:
Energy 2017 v.122 pp. 301-310
ISSN:
0360-5442
Subject:
algorithms; energy; gross domestic product; mathematical models; planning; system optimization; transportation; Turkey (country)
Abstract:
... In this study, three different mathematical models were proposed to estimate transportation energy demand of Turkey using the artificial bee colony algorithm. In the development of the models, gross domestic product, population and total annual vehicle-km were taken as parameters. For transportation energy demand estimations, linear, exponential and quadratic forms of mathematical expressions were ...
DOI:
10.1016/j.energy.2017.01.074

39. Hybrid Band Combination for Discriminating Lithology of Dunite in Ultramafic Rocks

Author:
Önder Gürsoy
Source:
Journal of the Indian Society of Remote Sensing 2019 v.47 no.6 pp. 1041-1049
ISSN:
0255-660X
Subject:
Advanced Spaceborne Thermal Emission and Reflection Radiometer; algorithms; cartography; mineral content; mineralization; minerals; remote sensing; spectral analysis; ultramafic rocks; Turkey (country)
Abstract:
... In recent years, satellite image and other data provided by the terrestrial component of remote sensing technology have been used for detecting hydrothermal alteration minerals and regional geology mappings. Existing rock detection methods and algorithms in remote sensing can only be used to determine main rock groups such as ultramafic, granitoid, metamorphic and sedimentary. The use of new remot ...
DOI:
10.1007/s12524-019-00957-z

40. Identification of the optimum groundwater quality monitoring network using a genetic algorithm based optimization approach

Author:
M. Tamer Ayvaz; Alper Elçi
Source:
Journal of hydrology 2018 v.563 pp. 1078-1091
ISSN:
0022-1694
Subject:
algorithms; cost effectiveness; groundwater; models; monitoring; pollutants; system optimization; water quality; watersheds; wells; Turkey (country)
Abstract:
... Management of groundwater requires a sufficient coverage of accurate groundwater quality data. These data are usually collected from monitoring wells which are spatially distributed in the river basin or the groundwater body that is studied. A minimum number of monitoring wells with an optimum spatial distribution is desired to ensure a cost-effective observation of the groundwater body. Therefore ...
DOI:
10.1016/j.jhydrol.2018.06.006

41. Investigating a Suitable Empirical Model and Performing Regional Analysis for the Suspended Sediment Load Prediction in Major Rivers of the Aegean Region, Turkey

Author:
Asli Ulke; Gokmen Tayfur; Sevinc Ozkul
Source:
Water resources management 2017 v.31 no.3 pp. 739-764
ISSN:
0920-4741
Subject:
algorithms; neural networks; pollution load; prediction; rivers; sediment yield; suspended sediment; Turkey (country)
Abstract:
... This study investigates the appropriateness of four major empirical methods [Lane and Kalinske, Einstein, Brooks, Chang—Simons—Richardson] for predicting suspended sediment loads (SSLs) in three major rivers in the Aegean Region, Turkey. The measured data from 1975 to 2005 were used to test performance of the models. It was found that Brooks method was more appropriate, among the others, for predi ...
DOI:
10.1007/s11269-016-1357-z

42. Non-tuned data intelligent model for soil temperature estimation: A new approach

Author:
Hadi Sanikhani; Ravinesh C. Deo; Zaher Mundher Yaseen; Okan Eray; Ozgur Kisi
Source:
Geoderma 2018 v.330 pp. 52-64
ISSN:
0016-7061
Subject:
air temperature; algorithms; artificial intelligence; data collection; decision support systems; energy transfer; neural networks; periodicity; relative humidity; resource management; soil depth; soil temperature; solar energy; solar radiation; subsurface soil layers; wind speed; Turkey (country)
Abstract:
... In knowledge-based decision-support systems, soil temperature (ST) estimation can be considered as the core modeling task used for investigating the dynamics of solar energy exchange between the land surface and the sub-surface soil layers. In addition, the impacts of meteorological processes on energy uptake into the underlying soils and the design of more resilient and sustainable agricultural s ...
DOI:
10.1016/j.geoderma.2018.05.030

43. Subset Modeling Basis ANFIS for Prediction of the Reference Evapotranspiration

Author:
Behrooz Keshtegar; Ozgur Kisi; Hamed Ghohani Arab; Mohammad Zounemat-Kermani
Source:
Water resources management 2018 v.32 no.3 pp. 1101-1116
ISSN:
0920-4741
Subject:
air temperature; algorithms; data collection; evapotranspiration; fuzzy logic; meteorological data; prediction; relative humidity; solar radiation; wind speed; Turkey (country)
Abstract:
... The study investigates accuracy of a new modeling scheme, subset adaptive neuro fuzzy inference system (subset ANFIS), in estimating the daily reference evapotranspiration (ET₀). Daily weather data of relative humidity, solar radiation, air temperature, and wind speed from three stations in Central Anatolian Region of Turkey were utilized as input to the applied models. The input data set for mode ...
DOI:
10.1007/s11269-017-1857-5

44. The most recent status of genetic structure of Didymella rabiei (Ascochyta rabiei) populations in Turkey and the first genotype profile of the pathogen from the wild ancestor, Cicer reticulatum

Author:
Hilal Ozkilinc; Canan Can
Source:
Phytoparasitica 2019 v.47 no.2 pp. 263-273
ISSN:
0334-2123
Subject:
Ascochyta rabiei; Cicer reticulatum; algorithms; alleles; asexual reproduction; blight; chickpeas; crop production; genetic distance; genetic variation; genotype; genotyping; hosts; loci; microsatellite repeats; seedlings; seeds; variance; wild relatives; Turkey (country)
Abstract:
... Chickpea is an important legume crop cultivated in many locations of Turkey and wild relatives of chickpea naturally grow in the Southeastern Anatolia Region of Turkey. Ascochyta blight caused by Didymella rabiei is one of the most important limiting factors for chickpea production. In this study, we aimed to investigate the genetic structures of D. rabiei samples from wild and domesticated chickp ...
DOI:
10.1007/s12600-019-00721-6

45. An Extended Approach of Particle Swarm Optimization for Shoreline Extraction from RASAT Imagery

Author:
Hatice Catal Reis; Bülent Bayram; Salih Bozkurt; Abdulkadir Ince; Nusret Demir; Dursun Zafer Seker
Source:
Journal of the Indian Society of Remote Sensing 2018 v.46 no.8 pp. 1223-1232
ISSN:
0255-660X
Subject:
algorithms; image analysis; lakes; remote sensing; satellites; shorelines; tectonics; water birds; Turkey (country)
Abstract:
... This study presents an extended shoreline detection approach from pansharpened images of Turkish RASAT satellite which covers red, green and blue bands of the optical spectrum with 15 m ground resolution and panchromatic band with 7.5 m spatial resolution. The Lake Ercek of Turkey has been selected as the study area, which is a tectonic lake and home to a variety of water birds. The satellite imag ...
DOI:
10.1007/s12524-018-0804-0

46. Application of real valued genetic algorithm on prediction of higher heating values of various lignocellulosic materials using lignin and extractive contents

Author:
Fikret Akdeniz; Metin Biçil; Yusuf Karadede; Füreya Elif Özbek; Gültekin Özdemir
Source:
Energy 2018 v.160 pp. 1047-1054
ISSN:
0360-5442
Subject:
algorithms; lignin; lignocellulose; nonlinear models; prediction; regression analysis; theoretical models; Turkey (country)
Abstract:
... The higher heating values (HHVs) of 11 non-wood lignocellulosic materials from Turkey were measured experimentally and calculated incorporating various theoretical models with the values of both lignin and extractive contents. Multiple linear regression (MLR) and real valued genetic algorithm (RVGA) were used to derive the theoretical models. A non-linear RVGA6 model was determined as the best non ...
DOI:
10.1016/j.energy.2018.07.053

47. Estimating suspended sediment load with multivariate adaptive regression spline, teaching-learning based optimization, and artificial bee colony models

Author:
Banu Yilmaz; Egemen Aras; Sinan Nacar; Murat Kankal
Source:
Science of the total environment 2018 v.639 pp. 826-840
ISSN:
0048-9697
Subject:
algorithms; data collection; longevity; models; pollution load; prediction; regression analysis; rivers; sediment yield; sediments; stream flow; suspended sediment; Turkey (country)
Abstract:
... The functional life of a dam is often determined by the rate of sediment delivery to its reservoir. Therefore, an accurate estimate of the sediment load in rivers with dams is essential for designing and predicting a dam's useful lifespan. The most credible method is direct measurements of sediment input, but this can be very costly and it cannot always be implemented at all gauging stations. In t ...
DOI:
10.1016/j.scitotenv.2018.05.153

48. Improving daily streamflow forecasts in mountainous Upper Euphrates basin by multi-layer perceptron model with satellite snow products

Author:
Gökçen Uysal; Aynur Şensoy; A. Arda Şorman
Source:
Journal of hydrology 2016 v.543 pp. 630-650
ISSN:
0022-1694
Subject:
Snowmelt Runoff Model; air temperature; algorithms; basins; moderate resolution imaging spectroradiometer; neural networks; runoff; satellites; snow; snowmelt; snowpack; spring; stream flow; summer; watersheds; wavelet; Turkey (country)
Abstract:
... This paper investigates the contribution of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite Snow Cover Area (SCA) product and in-situ snow depth measurements to Artificial Neural Network model (ANN) based daily streamflow forecasting in a mountainous river basin. In order to represent non-linear structure of the snowmelt process, Multi-Layer Perceptron (MLP) Feed-Forward Backpropag ...
DOI:
10.1016/j.jhydrol.2016.10.037

49. Landslide susceptibility mapping in an area of underground mining using the multicriteria decision analysis method

Author:
Deniz Arca; Hakan Ş. Kutoğlu; Kazimierz Becek
Source:
Environmental monitoring and assessment 2018 v.190 no.12 pp. 725
ISSN:
0167-6369
Subject:
algorithms; computer software; data collection; deformation; geographic information systems; humans; interferometry; land cover; landscapes; landslides; models; multi-criteria decision making; risk; subsidence; synthetic aperture radar; topography; underground mining; urban planning; Turkey (country)
Abstract:
... Landslides are geomorphological phenomena that affect anthropogenic and natural features on the Earth’s surface. Many previous studies have identified several factors that have contributed to landslides. Among these factors are physical characteristics, such as slope, aspect, and land cover, of Earth’s surface. Moreover, landslides can be triggered by human activities such as underground mining. T ...
DOI:
10.1007/s10661-018-7085-5
PubMed:
30430322
PubMed Central:
PMC6244970

50. Molecular genetic diversity of the Turkish national hazelnut collection and selection of a core set

Author:
Süleyman Can Öztürk; Hüseyin İrfan Balık; Selda Kayalak Balık; Gökhan Kızılcı; Ömür Duyar; Sami Doğanlar; Anne Frary
Source:
Tree genetics & genomes 2017 v.13 no.5 pp. 113
ISSN:
1614-2942
Subject:
Corylus avellana; Corylus colurna; algorithms; cultivars; gene pool; genetic markers; genetic variation; genotype; hazelnuts; landraces; microsatellite repeats; population structure; statistics; Turkey (country)
Abstract:
... European hazelnut (Corylus avellana L.) is an economically and nutritionally important nut crop with wild and cultivated populations found throughout Europe and in parts of Asia. This study examined the molecular genetic diversity and population structure of 402 genotypes including 143 wild individuals, 239 landraces, and 20 cultivars from the Turkish national hazelnut collection using simple sequ ...
DOI:
10.1007/s11295-017-1195-z