ARAMA SONUÇLARI

Toplam 412 adet sonuçtan 20 tanesi görüntülenmektedir.

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

What If London Bridge Is Closed? Feature-Aware Subgraph Augmentation for Modeling Road Network Structure Changes

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol. 26, No. 11, Eylül 2025, s. 21135-21148, ISSN: 15249050

ÖZKAN MUSTAFA CAN,CHENG TAO,ZHANG XİANGHUİ,FANG MENG

Mustafa Can Özkan Özgün Makale "Roads""Graph neural networks""Bridges""Adaptation models""Data models""Predictive models""Traffic control""Training""Long short term memory""Accidents""Subgraph augmentation""structure changes""dynamic networks""graph neural networks""traffic prediction"

Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications

The 32nd IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2025), Hayderabad/HİNDİSTAN, 17 Kasım 2025

FAREA AFRAH,KHAN SAİFUL,ÇELEBİ MUSTAFA SERDAR

Mustafa Serdar Çelebi Tam metin bildiri Physics Informed Neural Networks

A neural networks approach to predict call center calls of an internet service provider

Journal of Intelligent Fuzzy Systems, Vol. 42, No. 1, Ocak 2022, s. 503-515, ISSN: 1064-1246

NAMLI DAĞ ÖZGE HÜSNİYE, YANIK SEDA, NOURİ FARANAK, ŞENGÖR NESLİHAN SERAP, KOYUNCU YUSUF MERTKAN, UÇAR ÖMER BERK

Neslihan Serap Şengör Özgün Makale Call center problem predictionclassificationclusteringartificial neural networksbaggingCHURN PREDICTIONMANAGEMENT

General underactuated cooperating manipulators and their control by neural network

Second International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005, CHONGQING/ÇİN HALK CUMHURİYETİ, Vol. 3498, 30 Mayıs 2005, s. 210-215

YEŞİLOĞLU SIDDIK MURAT,TEMELTAŞ HAKAN

Hakan Temeltaş Tam metin bildiri

A novel approach for predicting multiple key properties of water-based nanofluids using artificial neural networks

Journal of Molecular Liquids, Vol. 429, Temmuz 2025, ISSN: 0167-7322

ERDEM KASIM,SUBAŞI ABDUSSAMET

Kasım Erdem Özgün Makale Artificial neural networks Dynamic viscosity Thermal conductivity Specific heat capacity Density

Classification of brain strokes using divergence-based convolutional neural networks

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, Vol. 93, Ocak 2024, s. 10, ISSN: 1746-8094

POLAT ÖZLEM,DOKUR ZÜMRAY,ÖLMEZ TAMER

Tamer Ölmez Özgün Makale Brain stroke Image classification Deep neural networks Walsh matrix

Renewable GenCo bidding strategy using newsvendor-based neural networks: An example from Turkish electricity market

ELECTRIC POWER SYSTEMS RESEARCH, Vol. 231, Ocak 2024, s. 8, ISSN: 0378-7796

POLAT EZGİ,GÜLER MEHMET GÜRAY,ULUKUŞ MEHMET YASİN

Mehmet Güray Güler Özgün Makale Electricity markets Bid strategy Neural networks Newsvendor problem

Modelling using Neural Networks and dynamic position control for unmanned underwater vehicles

Journal of ETA Maritime Science, Vol. 12, No. 1, Mart 2024, s. 64-73, ISSN: 2148-9386

ERTOGAN MELEK,WİLSON PHİLİP A.

Melek Ertogan Özgün Makale Autonomous underwater vehicle Shallow neural networks Black box modelling Dynamic position control

Importance of data preprocessing for neural networks modeling The case of estimating the compaction parameters of soils

Energy Education Science and Technology Part A: Energy Science and Research, Trabzon/TÜRKİYE, Vol. 29, No. 2, Temmuz 2012, s. 871-882, ISSN: 1308-772X

IŞIK FATİH,ÖZDEN GÜRKAN

Gürkan Özden Özgün Makale artificial neural networksdata clustering analysisdata transformation

Application of Neural Networks in Talent Management

INTERNATIONAL CONFERENCE ON ELECTRICAL INFORMATION AND COMMUNICATION TECHNOLOGY (EICT), 13 Şubat 2013, ISSN: 978-1-4799-2299-4

ZAİM ABDÜL HALİM

Abdül Halim Zaim Tam metin bildiri talent managementneural 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

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

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, İstanbul/TÜRKİYE, 26 Haziran 2003, s. 406-409

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

Burak Barutçu Tam metin bildiri

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

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

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

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