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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. Genetic algorithms for the classification and prediction of precipitation occurrence

Author:
Source:
Hydrological sciences journal 2001 v.46 no.2 pp. 255-267
ISSN:
0262-6667
Subject:
Markov chain; algorithms; dewpoint; discriminant analysis; humidity; lakes; models; natural selection; prediction; probability distribution; rain; temperature; tourism; transportation; Turkey (country)
Abstract:
... Using an approach similar to the biological processes of natural selection and evolution, the genetic algorithm (GA) is a nonconventional optimum search technique. Genetic algorithms have the ability to search large and complex decision spaces and handle nonconvexities. In this paper, the GA is applied for solving the optimum classification of rainy and non-rainy day occurrences based on vertical ...
DOI:
10.1080/02626660109492820

2. Irrigation performance using hydrological and remote sensing modeling

Author:
Droogers, P.; Bastiaanssen, W.
Source:
Journal of irrigation and drainage engineering 2002 v.128 no.1 pp. 11-18
ISSN:
0733-9437
Subject:
simulation models; evapotranspiration; sowing date; irrigation; spatial distribution; Vitis; Gossypium; remote sensing; Landsat; energy balance; algorithms; hydrologic models; Turkey (country)
DOI:
10.1061/(ASCE)0733-9437(2002)128:1(11)

3. Monitoring snow-covered areas using NOAA-AVHRR data in the eastern part of Turkey

Author:
Source:
Hydrological sciences journal 2002 v.47 no.2 pp. 243-252
ISSN:
0262-6667
Subject:
Snowmelt Runoff Model; advanced very high resolution radiometer; algorithms; basins; monitoring; prediction; satellites; snow; spring; topography; watersheds; wind direction; Turkey (country); United States
Abstract:
... Monitoring snow-covered areas and estimating the snow water equivalent play an important role in predicting discharges during spring months, especially in regions where snow is an important resource. This study has been conducted in the Upper Euphrates River basin, of 10 200 km2 area, and elevation range of 1125–3500 m. In estimating snow-covered areas, besides semi-supervised multispectral classi ...
DOI:
10.1080/02626660209492927

4. High density NOAA time series of ET in the Gediz Basin, Turkey

Author:
Gieske, A.; Meijninger, W.
Source:
Irrigation and drainage systems 2005 v.19 no.3-4 pp. 285-299
ISSN:
0168-6291
Subject:
evapotranspiration; watersheds; energy balance; irrigated soils; remote sensing; irrigated farming; algorithms; satellites; Turkey (country)
DOI:
10.1007/s10795-005-5191-3

5. Modeling of SO2 distribution in Istanbul using artificial neural networks

Author:
Ulku Sahin; Osman N. Ucan; Cuma Bayat; Namık Oztorun
Source:
Environmental modeling and assessment 2005 v.10 no.2 pp. 135-142
ISSN:
1420-2026
Subject:
air pollution; air quality; algorithms; data collection; developing countries; environmental engineering; humidity; neural networks; neurons; pollutants; prediction; rain; regression analysis; seasonal variation; solar radiation; sulfur dioxide; temperature; wind direction; wind speed; Turkey (country)
Abstract:
... Urban air pollution is a growing problem in developing countries. Some compounds especially sulphur dioxide (SO₂) is considered as typical indicators of the urban air quality. Air pollution modeling and prediction have great importance in preventing the occurrence of air pollution episodes and provide sufficient time to take the necessary precautions. Recently, various stochastic image-processing ...
DOI:
10.1007/s10666-004-7262-5

6. Analysis of Genetic Diversity in Colonial Bentgrass (Agrostis capillaris L.) using Randomly Amplified Polymorphic DNA (RAPD) Markers

Author:
Rajasekar, Shanmugam; Fei, Shui-zhang; Christians, Nick E.
Source:
Genetic resources and crop evolution 2007 v.54 no.1 pp. 45-53
ISSN:
0925-9864
Subject:
Agrostis capillaris; algorithms; breeding; cool season grasses; genetic relationships; genetic variation; germplasm; golf courses; principal component analysis; random amplified polymorphic DNA technique; temperature; Bulgaria; Finland; Romania; Turkey (country); United States
Abstract:
... Colonial bentgrass (Agrostis capillaris L.) is a cool-season grass, native to temperate Asia and Europe. It has good tolerance to low temperatures and partial shade and is well suited to golf course fairways and tees. Little information is available regarding levels and patterns of genetic variation among populations of colonial bentgrass, which would be useful for breeding programs. To study the ...
DOI:
10.1007/s10722-005-1883-7

7. Forecasting Surface Water Level Fluctuations of Lake Van by Artificial Neural Networks

Author:
Altunkaynak, Abdüsselam
Source:
Water resources management 2007 v.21 no.2 pp. 399-408
ISSN:
0920-4741
Subject:
algorithms; engineering; irrigation; lakes; neural networks; rain; surface water level; temporal variation; Turkey (country)
Abstract:
... Lake Van in eastern Turkey has been subject to water level rise during the last decade and, consequently, the low-lying areas along the shore are inundated, giving problems to local administrators, governmental officials, irrigation activities and to people's property. Therefore, forecasting water levels of the Lake has started to attract the attention of the researchers in the country. An attempt ...
DOI:
10.1007/s11269-006-9022-6

8. Tractor demand projection in Turkey

Author:
Unakitan, G.; Akdemir, B.
Source:
Biosystems engineering 2007 v.97 no.1 pp. 19-25
ISSN:
1537-5110
Subject:
tractors; demand functions; prediction; algorithms; mathematical models; equations; Turkey (country)
Abstract:
... An autoregressive integrated moving average (ARIMA) univariate model was used to predict the previous tractor demand in Turkey. The data used in the model were obtained for the period 1961-2003 from FAO statistics. The ARIMA model was determined as (2, 2, 2) in order to predict tractor demand by using logarithmic transformation. The trend of the tractor stock was calculated by using coefficients o ...
DOI:
10.1016/j.biosystemseng.2007.01.011

9. Water Quality Retrievals from High Resolution Ikonos Multispectral Imagery: A Case Study in Istanbul, Turkey

Author:
Ekercin, Semih
Source:
Water, air, and soil pollution 2007 v.183 no.1-4 pp. 239-251
ISSN:
0049-6979
Subject:
water quality; satellites; remote sensing; multispectral imagery; image analysis; case studies; spatial distribution; algorithms; computer software; regression analysis; turbidity; chlorophyll; sediment yield; spatial variation; Turkey (country)
Abstract:
... This paper presents an application of high resolution satellite remote sensing data for mapping water quality in the Goldon Horn, Istanbul. It is an applied research emphasizing the present water quality conditions in this region for water quality parameters; secchi disc depth (SDD), chlorophyl-a (chl-a) and total suspended sediment (TSS) concentration. The study also examines the retrievals of th ...
DOI:
10.1007/s11270-007-9373-5

10. An inverse-modelling approach to assess the impacts of climate change in the Seyhan River basin, Turkey

Author:
Source:
Hydrological sciences journal 2008 v.53 no.6 pp. 1121-1136
ISSN:
0262-6667
Subject:
General Circulation Models; algorithms; climate change; climatic factors; drought; floods; hydrologic models; meteorological parameters; prediction; risk; uncertainty; watersheds; Turkey (country)
Abstract:
... One of the most significant anticipated consequences of global climate change is the change in frequency of hydrological extremes. Predictions of climate change impacts on the regime of hydrological extremes have traditionally been conducted by a top-down approach that involves a high degree of uncertainty associated with the temporal and spatial characteristics of general circulation model (GCM) ...
DOI:
10.1623/hysj.53.6.1121

11. Discrimination Between Closed and Open Shell (Turkish) Pistachio Nuts Using Undecimated Wavelet Packet Transform

Author:
Ince, N.F.; Goksu, F.; Tewfik, A.; Onaran, I.; Cetin, A.E.; Pearson, T.C.
Source:
Biological engineering 2008 v.1 no.2 pp. 159-172
ISSN:
1934-2837
Subject:
discriminant analysis; product grading; classification; pistachios; wave physics; acoustic properties; sorting; algorithms; hulls; Turkey (country)
Abstract:
... Due to low consumer acceptance and the possibility of immature kernels, closed‐shell pistachio nuts should be separated from open‐shell nuts before reaching the consumer. A system using impact acoustics as a means of classifying closed-shell nuts from open-shell nuts has already been shown to be feasible and have better discrimination performance than a mechanical system.The accuracy of an impact ...
Handle:
10113/49531
DOI:
10.13031/2013.24476

12. Early findings in comparison of AMSR-E/Aqua L3 global snow water equivalent EASE-grids data with in situ observations for Eastern Turkey

Author:
Tekeli, A. Emre
Source:
Hydrological processes 2008 v.22 no.15 pp. 2737-2747
ISSN:
0885-6087
Subject:
algorithms; monitoring; radiometers; remote sensing; resource management; rivers; snow; snowmelt; uncertainty; vegetation; water management; winter; Turkey (country)
Abstract:
... Microwave remote sensing (RS) enables the direct determination of snow water equivalent (SWE), which is an important snow parameter for water resources management. The accuracy of remotely sensed SWE values has always been a concern. Previous studies evaluated global SWE monitoring. However, regional effects such as vegetation, snow grain size, snow density and local meteorological conditions may ...
DOI:
10.1002/hyp.7093

13. Prediction of Hydropower Energy Using ANN for the Feasibility of Hydropower Plant Installation to an Existing Irrigation Dam

Author:
Cobaner, Murat; Haktanir, Tefaruk; Kisi, Ozgur
Source:
Water resources management 2008 v.22 no.6 pp. 757-774
ISSN:
0920-4741
Subject:
algorithms; computer software; economic feasibility; energy; energy costs; engineering; evaporation; hydroelectric power; irrigation; irrigation water; neural networks; prediction; Turkey (country)
Abstract:
... Recently, artificial neural networks (ANNs) have been used successfully for many engineering problems. This paper presents a practical way of predicting the hydropower energy potential using ANNs for the feasibility of adding a hydropower plant unit to an existing irrigation dam. Because the cost of energy has risen considerably in recent decades, addition of a suitable capacity hydropower plant ( ...
DOI:
10.1007/s11269-007-9190-z

14. Estimation of river flow by artificial neural networks and identification of input vectors susceptible to producing unreliable flow estimates

Author:
Kentel, Elcin
Source:
Journal of hydrology 2009 v.375 no.3-4 pp. 481-488
ISSN:
0022-1694
Subject:
rivers; stream flow; watershed hydrology; hydrologic models; watersheds; hydrologic data; estimation; neural networks; rain; algorithms; model validation; Turkey (country)
Abstract:
... Reliable river flow estimates are crucial for appropriate water resources planning and management. River flow forecasting can be conducted by conceptual or physical models, or data-driven black box models. Development of physically-based models requires an understanding of all the physical processes which impact a natural process and the interactions among them. Since identification of the relatio ...
DOI:
10.1016/j.jhydrol.2009.06.051

15. Using satellite remote sensing to assess irrigation performance in Water User Associations in the Lower Gediz Basin, Turkey

Author:
Karatas, Bekir S.; Akkuzu, Erhan; Unal, Halil B.; Asik, Serafettin; Avci, Musa
Source:
Agricultural water management 2009 v.96 no.6 pp. 982-990
ISSN:
0378-3774
Subject:
irrigation management; satellites; remote sensing; irrigation systems; water supply; evapotranspiration; estimation; algorithms; energy balance; seasons; irrigation water; groundwater; Turkey (country)
Abstract:
... The aim of this research was to assess the irrigation performance of the Salihli Right Bank, Salihli Left Bank, Ahmetli, Gokkaya, Turgutlu, Mesir, Sarikiz, Gediz, Menemen Right Bank and Menemen Left Bank Water User Associations (WUAs) in the Lower Gediz Basin in western Turkey, using remote sensing techniques. To reach this aim the performance of the irrigation system for the 2004 irrigation seaso ...
DOI:
10.1016/j.agwat.2009.01.010

16. A comparative study of Turkish and Israeli populations of Didymella rabiei, the ascochyta blight pathogen of chickpea

Author:
Ozkilinc, H.; Frenkel, O.; Abbo, S.; Eshed, R.; Sherman, A.; Shtienberg, D.; Ophir, R.; Can, C.
Source:
Plant pathology 2010 v.59 no.3 pp. 492-503
ISSN:
0032-0862
Subject:
Ascochyta rabiei; Cicer arietinum; algorithms; blight; chickpeas; domestication; genetic variation; heritability; microsatellite repeats; multidimensional scaling; pathogens; spring; temperature; variance; winter; Israel; Turkey (country)
Abstract:
... The Fertile Crescent is the centre of domestication of chickpea (Cicer arietinum) and also the place of origin of its pathogens. Agrosystems provide different environments to natural eco-systems, thus imposing different types of selection on pathogens. Here, the genetic structure and in vitro temperature growth response of the chickpea pathogen Didymella rabiei from domesticated chickpea (59 isola ...
DOI:
10.1111/j.1365-3059.2009.02226.x

17. Analysis of phylogenetic relationships in some species of the genus Lens using ITS sequences

Author:
M. Tavakkoli; A. Haghnazari; H. Mozaffari; B. Ghareyazie; M. Osfoori
Source:
Journal of horticultural science & biotechnology 2010 v.85 no.3 pp. 227-230
ISSN:
2380-4084
Subject:
Lens; algorithms; biotechnology; cluster analysis; horticulture; internal transcribed spacers; lentils; phylogeny; sequence analysis; taxonomy; topology; wild relatives; Iran; Turkey (country)
Abstract:
... We compared sequence variations in the internal transcribed spacer (ITS) region of five Lens species, including cultivated lentil (Lens culinaris subsp. culinaris) and its four wild relatives distributed in Iran and Turkey, in order to clarify their genetic relationships. Cluster analysis based on the neighbour-joining algorithm and Jukes-Cantor distances revealed a phenetic tree with a topology c ...
DOI:
10.1080/14620316.2010.11512659

18. A case study on the application of SCIAMACHY satellite methane measurements for regional studies: the Greater Area of the Eastern Mediterranean

Author:
A. K. Georgoulias; K. A. Kourtidis; M. Buchwitz; O. Schneising; J. P. Burrows
Source:
International journal of remote sensing 2011 v.32 no.3 pp. 787-813
ISSN:
1366-5901
Subject:
air; algorithms; altitude; cartography; case studies; gas emissions; latitude; methane; remote sensing; satellites; seasonal variation; spectroscopy; volcanoes; Caspian Sea; Mediterranean region; Persian Gulf; Red Sea; Turkey (country)
Abstract:
... Many studies have focused on geological formations, such as mud volcanoes, which abound in the Greater Area of the Eastern Mediterranean (GAEM; 25° N–50° N, 5° E–55° E). This geological source is thought to provide a significant portion of the global methane (CH₄) emissions. However, studies in the GAEM have focused on specific locations rather than extensive areas, which has led to a gap in our u ...
DOI:
10.1080/01431161.2010.517791

19. An automatic counter for aerial images of aggregations of large birds

Author:
Stig Descamps; Arnaud Béchet; Xavier Descombes; Antoine Arnaud; Josiane Zerubia
Source:
Bird study 2011 v.58 no.3 pp. 302-308
ISSN:
1944-6705
Subject:
Phoenicopteridae; aerial photography; algorithms; birds; computer software; managers; wildlife; France; Mauritania; Turkey (country)
Abstract:
... Capsule Counts with precision comparable to those of an expert observer can be achieved automatically.Aims To develop an open-source freeware program that automatically extracts and counts the number of birds in aerial images of dense aggregations.Methods Software was developed and validated using aerial photographs of Greater Flamingo colonies from France, Turkey and Mauritania. We used a stochas ...
DOI:
10.1080/00063657.2011.588195

20. Ensemble modeling of transport and dispersion simulations guided by machine learning hypotheses generation

Author:
Andreas D. Lattner; Guido Cervone
Source:
Computers & geosciences 2012 v.48 no. pp. 267-279
ISSN:
0098-3004
Subject:
algorithms; artificial intelligence; computers; meteorological data; models; physics; Turkey (country)
Abstract:
... In this article an approach is presented where machine learning classifiers are used to drive an ensemble modeling method of multiple atmospheric transport and dispersion simulations. The goal is to achieve a higher spread of the results with a lower number of ensemble simulations. Symbolic machine learning algorithms are used to define choices for the variation of meteorological input data, model ...
DOI:
10.1016/j.cageo.2012.01.017