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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. 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

2. Regional distribution and characteristics of major badland landscapes in Turkey

Author:
Aydoğan Avcıoğlu; Tolga Görüm; Abdullah Akbaş; Mariano Moreno-de las Heras; Cengiz Yıldırım; Ömer Yetemen
Source:
Catena 2022 pp. 106562
ISSN:
0341-8162
Subject:
Cretaceous period; Neogene period; Paleogene period; Turkey (country); algorithms; atmospheric precipitation; badlands; catenas; lithology; remote sensing; sediments; tectonics; temperature; topography; vegetation; watersheds
Abstract:
... Badlands are extremely rugged, outstanding landscapes that can be seen in all ice-free climate regions over erosion-susceptible unconsolidated materials, and they have drawn attention with their spectacular and iconic forms. Unlike nearly all badlands researches conducted at the experimental site and watershed scale, so far, the broader-scale evaluation has been neglected in the analysis of badlan ...
DOI:
10.1016/j.catena.2022.106562

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

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. 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

12. 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

13. 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

14. 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

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. 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

17. 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

18. 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

19. 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

20. 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