ARAMA SONUÇLARI

Toplam 326 adet sonuçtan 20 tanesi görüntülenmektedir.

The Combination of Neural Networks and an Expert System for On-Line Nuclear Power Plant Monitoring

13t International Conference on Artificial Neural Networks 10th International Conference on Neural Information Processing-ICANN/ICONIP, 26 Haziran 2003, s. 406-409

NABESHIMA KUNIHIKO,AYAZ EMİNE,ŞEKER ŞAHİN SERHAT,TÜRKCAN ERDİNÇ,BARUTÇU BURAK

Burak Barutçu Tam metin bildiri Artificial Neural NetworksExpert SystemsOn-Line MonitoringNuclear Power Plants

Neural Networks and Traffic Control Systems

Elevatori, 1997

İMRAK CEVAT ERDEM,BARNEY GEORGE

Cevat Erdem İmrak Özgün Makale

Application of neural networks to traffic control

Elevatori, 2000

İMRAK CEVAT ERDEM,BARNEY GEORGE

Cevat Erdem İmrak Özgün Makale

Magnetic Resonance Fingerprinting Using Recurrent Neural Networks

2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019), No. null, 8 Nisan 2019, s. 1537-1540

ÖKSÜZ İLKAY,CRUZ GASTAO,CLOUGH JAMES R.,BUSTİN AURELİEN,FUİN NİCCOLO,BOTNAR RENE,PRİETO CLAUDİA,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Tam metin bildiri Magnetic resonance fingerprintingRecurrent Neural NetworksLSTMGRUParameter mapping

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

Artificial neural networks for predicting maximum wave runup on rubble mound structures

EXPERT SYSTEMS WITH APPLICATIONS, Vol. 36, No. 3, 2009, s. 6403-6408, ISSN: 0957-4174

ERDİK TARKAN,SAVCI M.EMİN,ŞEN ZEKAİ

Tarkan Erdik Özgün Makale Rock slopesArtificial neural networksDimensionless 2 wave runupBREAKWATERSSLOPESSMOOTH

Circuit Aware Approximate System Design with Case Studies in Image Processing and Neural Networks

IEEE ACCESS, Vol. 7, No. null, 2019, s. 4726-4734, ISSN: 2169-3536

AYHAN TUBA,ALTUN MUSTAFA

Mustafa Altun Özgün Makale Approximate computingartificial neural networksfield programmable gate arrayshigh-level synthesisimage processingEVOLUTIONARY DESIGNENERGY

Inspecting Distortion in the Power Amplifiers with the aid of Neural Networks

2020 22nd International Conference on Advanced Communication Technology (ICACT), Vol. 2020, 16 Şubat 2020, s. 448, ISSN: 17389445

AYGÜN SERCAN,KOUHALVANDİ LİDA,GÜNEŞ ECE OLCAY,ÖZOĞUZ İSMAİL SERDAR

Ece Olcay Güneş Tam metin bildiri software-defined radiopower amplifierneural networksdigital pre-distortion

Application of radial basis function and generalized regression neural networks in non linear utility function specification for travel mode choice modelling

Mathematical and Computer Modelling, Vol. 44, No. 78, Ekim 2006, s. 640-658, ISSN: 0895-7177

ÇELİKOĞLU HİLMİ BERK

Hilmi Berk Çelikoğlu Özgün Makale Transportation mode choiceArtificial neural networks

Inspecting Distortion in the Power Amplifiers with the aid of Neural Networks

2020 22nd International Conference on Advanced Communication Technology (ICACT), Vol. 2020, 16 Şubat 2020, s. 448, ISSN: 17389445

AYGÜN SERCAN,KOUHALVANDİ LİDA,GÜNEŞ ECE OLCAY,ÖZOĞUZ İSMAİL SERDAR

İsmail Serdar Özoğuz Tam metin bildiri software-defined radiopower amplifierneural networksdigital pre-distortion

Forecasting of Natural Gas Consumption by Artificial Neural Networks in Konya Region

INERMA’17, II. International Energy Raw Materials and Energy Summit, 27 Eylül 2017

AKIN BURCU,BARUTÇU BURAK

Burak Barutçu Tam metin bildiri Forecasting of Natural Gas ConsumptionArtificial Neural NetworksKonya Region

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning

MEDICAL IMAGE ANALYSIS, Vol. 55, No. null, Temmuz 2019, s. 136-147, ISSN: 1361-8415

ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,CLOUGH JAMES R.,CRUZ GASTAO,BUSTİN AURELİEN,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Özgün Makale Cardiac MR motion artefactsImage quality assessmentArtifactConvolutional neural networksLSTMNEURAL-NETWORKSQUALITY ASSESSMENT

Fault Detection of Wind Turbine Sensors Using Artificial Neural Networks

JOURNAL OF SENSORS, No. null, Aralık 2018, ISSN: 1687-725X

KAVAZ AYŞE GÖKÇEN,BARUTÇU BURAK

Burak Barutçu Özgün Makale Fault detectionWind TurbinesArtificial Neural Networks

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol. 44, No. 12, Aralık 2022, s. 13, ISSN: 0162-8828

CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA, SCHNABEL JULİA A., KİNG ANDREW P.

İlkay Öksüz Özgün Makale Image segmentation Topology Shape Training Loss measurement Neural networks Network topology Segmentation persistent homology topology medical imaging convolutional neural networks

Predicting the Outcome of Construction Litigation Using Neural Networks

Computer-Aided Civil and Infrastructure Engineering, Vol. 13, No. 2, Mart 1998, s. 75-81, ISSN: 1093-9687

ARDİTİ DAVİD,OKSAY FATİH E,TOKDEMİR ONUR BEHZAT

Onur Behzat Tokdemir Özgün Makale Artificial IntelligenceNeural NetworksConstruction Litigation

Comparison of Case-Based Reasoning and Artificial Neural Networks

Journal of Computing in Civil Engineering, Vol. 13, No. 3, Temmuz 1999, s. 162-169, ISSN: 0887-3801

ARDİTİ DAVİD,TOKDEMİR ONUR BEHZAT

Onur Behzat Tokdemir Özgün Makale Artificial IntelligenceCase Based ReasoningNeural NetworksConstruction Litigation

A New Cluster-Aware Regularization of Neural Networks

International Conference on Intelligent and Fuzzy Systems, İstanbul/TÜRKİYE, Vol. 1029, 23 Temmuz 2019, s. 346, ISSN: 21945365 21945357

KALAYCI TOLGA AHMET,ASAN UMUT,GANİZ MURAT CAN,GEREK AYDIN

Umut Asan Tam metin bildiri RegularizationNeural networksMachine learningE-commerceClusteringClassification

Self Organized Maps Based Neural Networks for Detection of Possible Earthquake Precursory Electric Field Patterns

Advances in Engineering Software, London/İNGİLTERE, Vol. 37, No. 1, 2005, s. 207-217, ISSN: 0965-9978

MEHMET SİRAÇ ÖZERDEM, BERK ÜSTÜNDAĞ, MURAT DEMİRER

Burak Berk Üstündağ Özgün Makale ClusteringSelf-organizing mapsPrecursory pattern recognitionfeed-forward neural networksForecast

CNN s with Radial basis Input Function

4th IEEE Int. Workshop on Cellular Neural Networks and their Applications, Vol. 1, No. 1

YALCİN M.E., GUZELİS C.

Müştak Erhan Yalçın Tam metin bildiri

Application of Artificial Neural Networks for Safety Management Systems in Railways

International Congress on Advanced Railway Engineering, 2 Mart 2015

KARAMAN SÜLEYMAN,KOCAARSLAN İLHAN,TİRYAKİ HASAN

İlhan Kocaarslan Tam metin bildiri

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