المؤلفون: Doğan, E., Yurdusev, M.A., Yıldızel, Sadık Alper, Çalış, Gökhan

المساهمون: Yıldızel, Sadık Alper, Çalış, Gökhan

مصطلحات موضوعية: Falling From A Height, Health And Safety, Occupational Accident, Scaffolding

وصف الملف: application/pdf

Relation: Engineering Failure Analysis; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Doğan, E., Yurdusev, M. A., Yıldızel, S. A., Calış, G. (2021). Investigation of scaffolding accident in a construction site: A case study analysis. Engineering Failure Analysis, 120.; https://doi.org/10.1016/j.engfailanal.2020.105108; https://hdl.handle.net/11492/3945; 120

الاتاحة: https://hdl.handle.net/11492/3945
https://doi.org/10.1016/j.engfailanal.2020.105108

المؤلفون: Fırat, Mahmut., Yurdusev, M.A., Turan, M.E.

مصطلحات موضوعية: Demand forecasting, ANN, GRNN, Water consumption, Water management, Backpropagation, Forecasting, Statistical tests, Water supply, Artificial neural networks, Best fits, Best-fit models, Climatic factors, Correlation coefficients, Data records, Data sets, Feed-forward neural networks, Forecasting models, Generalized regression neural networks, Independent variables, Multiple linear regressions, Municipal waters, Performance criterion, Radial basis neural networks, Root mean square errors, Socio-economic, Training and testing, Water use, Neural networks, artificial neural network

Relation: Water Resources Management; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/6933; 23; 617; 632; WOS:000263509900001

الاتاحة: https://hdl.handle.net/11499/6933
https://doi.org/10.1007/s11269-008-9291-3

المؤلفون: Yurdusev, M.A., Fırat, Mahmut, Mermer, M., Turan, M.E.

مصطلحات موضوعية: Municipal & public service engineering, Hydrology & water resource, Water supply, Best-fit models, Climatic factors, Correlation coefficient, Data records, Data sets, Feed-Forward, Multiple inputs, Multiple linear regressions, Neural net, Root mean square errors, Single input variable, Socio-economics, Training and testing, Water consumption, Water use, Biochemical oxygen demand, Cellular radio systems, Hydrology, Neural networks, Statistical tests, Wastewater treatment, Water supply systems, Water resources, artificial neural network, climate conditions, modeling, performance assessment

Relation: Proceedings of the Institution of Civil Engineers: Water Management; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/6791; https://doi.org/10.1680/wama.2009.162.3.179; 162; 179; 188; WOS:000266548200002

الاتاحة: https://hdl.handle.net/11499/6791
https://doi.org/10.1680/wama.2009.162.3.179

المؤلفون: Yurdusev, M.A., Fırat, Mahmut

مصطلحات موضوعية: ANN, ANFIS, Fuzzy logic, Prediction, Water consumption, Water demand, Backpropagation, Economics, Fuzzy inference, Fuzzy sets, Population statistics, Water supply, Fuzzy systems, artificial neural network, climate effect, forecasting method, fuzzy mathematics, hydrological modeling, water use, Eurasia, Izmir [Turkey], Turkey

Relation: Journal of Hydrology; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/6867; https://doi.org/10.1016/j.jhydrol.2008.11.036; 365; 225; 234; WOS:000263742400007

الاتاحة: https://hdl.handle.net/11499/6867
https://doi.org/10.1016/j.jhydrol.2008.11.036

المؤلفون: Yurdusev, M.A., Fırat, Mahmut., Turan, M.E., Gultekin Sinir, B.

Relation: Stochastic Environmental Research and Risk Assessment; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/6614; 23; 1225

الاتاحة: https://hdl.handle.net/11499/6614
https://doi.org/10.1007/s00477-009-0320-4

المؤلفون: Firat, M., Yurdusev, M.A., Mermer, M.

مصطلحات موضوعية: ANFIS, Water demand forecasting, Water demand management, Adaptive Neuro-Fuzzy Inference System (ANFIS), Best fit, Best-fit models, Climatic factors, Correlation coefficient (CC), Data sets, Forecasting models, Independent variables, Multiple regressions, Performance evaluation (PE), Root mean-square error (RMSE), Socio economic, Training and testing, Water demands, Water uses, Biochemical oxygen demand, Correlation methods, Food processing, Forecasting, Fuzzy inference, Fuzzy logic, Reusability, Fuzzy systems

Relation: Journal of the Faculty of Engineering and Architecture of Gazi University; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/7138; 23; 449; 457; WOS:000273012500022

الاتاحة: https://hdl.handle.net/11499/7138

المؤلفون: Fırat, Mahmut., Yurdusev, M.A., Turan, M.E.

المساهمون: orcid:0000-0002-8010-9289

مصطلحات موضوعية: ANN, Demand forecasting, GRNN, Water consumption, Water management, Backpropagation, Forecasting, Statistical tests, Water supply, Artificial neural networks, Best fits, Best-fit models, Climatic factors, Correlation coefficients, Data records, Data sets, Feed-forward neural networks, Forecasting models, Generalized regression neural networks, Independent variables, Multiple linear regressions, Municipal waters, Performance criterion, Radial basis neural networks, Root mean square errors, Socio-economic, Training and testing, Water use, Neural networks, artificial neural network

Relation: http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/6933

الاتاحة: http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/6933

المؤلفون: Çetin N.S., Yurdusev M.A., Ata R., Özdemir A.

المساهمون: Ege Üniversitesi

مصطلحات موضوعية: Design tip speed ratio, Power factor, Turbine blade, Wind turbine

Relation: Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Mathematical and Computational Applications; https://hdl.handle.net/11454/22087; 10; 147; 154

الاتاحة: https://hdl.handle.net/11454/22087

المؤلفون: Canpolat, F., Yurdusev, M.A., Yilmaz, K., Kose, M.M., Sumer, M.

المصدر: Cement and Concrete Research ; volume 35, issue 5, page 1022-1023 ; ISSN 0008-8846

الاتاحة: http://dx.doi.org/10.1016/j.cemconres.2004.12.006
https://api.elsevier.com/content/article/PII:S0008884604005174?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0008884604005174?httpAccept=text/plain

المؤلفون: Canpolat, F, Yılmaz, K, Köse, M.M, Sümer, M, Yurdusev, M.A

المصدر: Cement and Concrete Research ; volume 34, issue 5, page 731-735 ; ISSN 0008-8846

الاتاحة: http://dx.doi.org/10.1016/s0008-8846(03)00063-2
https://api.elsevier.com/content/article/PII:S0008884603000632?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0008884603000632?httpAccept=text/plain

المؤلفون: Yurdusev, M.A., Fırat, Mahmut, Turan, M.E.

Relation: Journal of Statistical Computation and Simulation; DiÄŸer; https://hdl.handle.net/11499/6431; https://doi.org/10.1080/00949650903520118; 80; 477; 478

الاتاحة: https://hdl.handle.net/11499/6431
https://doi.org/10.1080/00949650903520118

المؤلفون: Yurdusev, M.A.¹ yurdusev@bayar.edu.tr, Ata, R.², Çetin, N.S.³

المصدر: Energy. Sep2006, Vol. 31 Issue 12, p1817-1825. 9p.

مصطلحات موضوعية: *WIND turbines, *ARTIFICIAL neural networks, *HYDRAULIC machinery, *HYDRAULIC motors

المؤلفون: Yurdusev, M.A., Ata, R., Çetin, N.S.

Relation: http://www.sciencedirect.com/science/article/pii/S0360544205001817

الاتاحة: http://www.sciencedirect.com/science/article/pii/S0360544205001817