ARAMA SONUÇLARI

Toplam 72 adet sonuçtan 20 tanesi görüntülenmektedir.

Development of Performance Prediction Models for Block-Cutting Machines (S/T) with Circular Saws Used in Natural Stone Factories

26th International Symposium on Mine Planning Equipment Selection (MPES 2017), Lulea/İSVEÇ, 29 Ağustos 2017, s. 239-244

TUMAÇ DENİZ,CEVİM KAMİL CENGİZ,SHATERPOUR MAMAGHANİ AYDIN

Deniz Tumaç Tam metin bildiri

Peak discharge prediction due to embankment dam break by using sensitivity analysis based ANN

KSCE Journal of Civil Engineering, Vol. 18, No. 6, 2014, s. 1868-1876, ISSN: 1226-7988

PEKTAŞ ALİOSMAN,ERDİK TARKAN

Tarkan Erdik Özgün Makale artificial neural networksmultilayer perceptronssensitivity analysispeak dischargeembankment dam failurevariable importanceARTIFICIAL NEURAL-NETWORKSENHANCED PREDICTIONSSIMULATION-MODELSOUTFLOWVALIDATIONPARAMETERS

Monthly Water Consumption Prediction Using Season Algorithm and Wavelet Transform–Based Models

Journal of Water Resources Planning and Management, Vol. 143, No. 6, Haziran 2017, s. 4017011, ISSN: 0733-9496

ALTUNKAYNAK ABDÜSSELAM,NİGUSSİE TEWODROS ASSEFA

Abdüsselam Altunkaynak Özgün Makale

Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction

Computers and Electronics in Agriculture, Vol. 179, Aralık 2020, s. 105851-105851, ISSN: 0168-1699

ÖZGER MEHMET,BAŞAKIN EYYUP ENSAR,EKMEKCİOĞLU ÖMER,HACISÜLEYMAN VOLKAN

Eyyup Ensar Başakın Özgün Makale

A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction

JOURNAL OF HYDROLOGY, Vol. 549, No. null, 2017, s. 603-615, ISSN: 0022-1694

MEHR ALİ DANANDEH,KAHYA ERCAN

Ercan Kahya Özgün Makale Multigene genetic programmingStreamflow predictionPareto-optimalHydrological modellingARTIFICIAL NEURAL-NETWORKSANN MODELSFLOWREGRESSIONRIVERPRECIPITATIONCOEFFICIENTPERFORMANCEALGORITHMS

Restructuring anaerobic hydrolysis kinetics in plant-wide models for accurate prediction of biogas production

WATER RESEARCH, Vol. 245, Ocak 2023, s. 120620, ISSN: 0043-1354

ÖZYILDIZ GÖKŞİN, ZENGİN BALCI GÜLSÜM EMEL, GÜVEN DİĞDEM, ÇOKGÖR EMİNE, ÖZDEMİR ÖZGÜR, HAUDUC HELENE, TAKACS IMRE, İNSEL HAYRETTİN GÜÇLÜ

Hayrettin Güçlü İnsel Özgün Makale Anaerobic hydrolysis Dynamic simulation Biogas production Cod turnover Particulate biodegradable matter

MOS Prediction for Mobile Broadband Networks Using Bayesian Artificial Intelligence

2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST), 29 Haziran 2021

SHAYEA IBRAHEEM ABDULLAH MOHAMMED

Ibraheem Abdullah Mohammed Shayea Tam metin bildiri Computational modeling Quality of service Streaming media Predictive models Bayes methods Broadband communication Quality of experience

Gate rudder system performance prediction for different rudder modes: a comparative study of sliding mesh and actuator disk cfd models

The 8th International Conference on Advanced Model Measurement Tech. For the Maritime Industry, Korea, Daejeon/GÜNEY KORE, 29 Ekim 2025

GÜRKAN AHMET YUSUF,ÜNAL UĞUR ORAL,ATLAR MEHMET

Uğur Oral Ünal Tam metin bildiri

Comparing the accuracy of ANN and ANFIS models for predicting the thermal data

Journal of Construction Engineering, Management & Innovation, Vol. 5, No. 2, Haziran 2022, s. 119-139, ISSN: 2630-5771

ALDİN SAMİ SHAMS, SÖZER HATİCE

Hatice Sözer Özgün Makale Building energy performance prediction modelsThe accuracy of predictionsANNANFIS

Spatiotemporal XAI: Explaining video regression models in echocardiography videos for ejection fraction prediction

Image and Vision Computing, Vol. 162, Ekim 2025, ISSN: 0262-8856

ER YAKUP ABREK,GÜLER ARDA,DEMİR MEHMET ÇAĞRI,UYSAL HANDE,BABUR GÜLER GAMZE,ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale

Bug Prediction of SystemC Models Using Machine Learning

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, Vol. 38, No. 3, Ocak 2019, s. 11, ISSN: 0278-0070

EFENDİOĞLU MUSTAFA,ŞEN MEHMET ALPER,KÖROĞLU YAVUZ

Yavuz Köroğlu Özgün Makale Bug prediction machine learning (ML) SystemC verification

Drug Re-Positioning Studies for Novel HIV-1 Inhibitors Using Binary QSAR Models and Multi-Target-DrivenIn SilicoStudies

MOLECULAR INFORMATICS, Vol. 40, No. 2, Şubat 2021, ISSN: 1868-1743

DOĞAN BERNA, DURDAĞI SERDAR

Berna Doğan Özgün Makale HIVVirtual ScreeningMolecular DynamicsDrug Re-positioningMulti-target drugsDESIGNED DUAL INHIBITORSBINDING FREE-ENERGYREVERSE-TRANSCRIPTASEPROTONATION STATECOUMARIN DERIVATIVESMULTITARGET DRUGSPROTEASEDYNAMICSCOMBINATIONPREDICTION

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