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Toplam 315 adet sonuçtan 20 tanesi görüntülenmektedir.

Gaussian Activation Function Realization with Application to the Neural Network Implementations

2020 28th Signal Processing and Communications Applications Conference (SIU), Gaziantep/TÜRKİYE, 5 Ekim 2020, s. 1-4

ATAR YILDIZ HACER

Hacer Atar Yıldız Tam metin bildiri CMOS analogue integrated circuitspolynomial approximation

Automatic generation control for power system with SMES by using neural network controller

ELECTRIC POWER COMPONENTS AND SYSTEMS, Vol. 31, No. 1, Ocak 2003, s. 1-25, ISSN: 1532-5008

DEMİRÖREN AYŞEN, ZEYNELGİL HATİCE LALE, ŞENGÖR NESLİHAN SERAP

Hatice Lale Zeynelgil Özgün Makale

Analog Neural Network based on Memristor Crossbar Arrays

2019 11th International Conference on Electrical and Electronics Engineering (ELECO), Bursa/TÜRKİYE, 28 Ekim 2019, s. 358-361

ATAR YILDIZ HACER, ALTUN MUSTAFA, GÜNGÖRDÜ ALİ DOĞUŞ, STAN MİRCEA R.

Hacer Atar Yıldız Tam metin bildiri memristor circuits CMOS analogue integrated circuits

Hotspots in maximum power point tracking algorithms for photovoltaic systems - A comprehensive and comparative review

ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, Vol. 43, Ocak 2023, s. 24, ISSN: 2215-0986

ÇIRAK CEM RECAİ, ÇALIK HÜSEYİN

Cem Recai Çırak Derleme Makale Maximum power point trackingSolar power generationPhotovoltaic systemsArtificial intelligenceMetaheuristicsParticle swarm optimizationNeural networkIncremental conductancePerturb and observeAutomatic controlFuzzy logicMPPT Maximum power point tracking Solar power generation Photovoltaic systems Artificial intelligence Metaheuristics

The application of neural network controller to power system with SMES for transient stability enhancement

EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, Vol. 16, No. 6, Kasım 2006, s. 18-646, ISSN: 1430-144X

DEMİRÖREN AYŞEN, ZEYNELGİL HATİCE LALE, ŞENGÖR NESLİHAN SERAP

Hatice Lale Zeynelgil Özgün Makale

Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study

INSIGHTS INTO IMAGING, Vol. 14, No. 1, Ocak 2023, s. 11, ISSN: 1869-4101

KARAGÖZ AHMET, ALİŞ DENİZ CAN, ŞEKER MUSTAFA EGE, ZEYBEL GÖKBERK, YERGİN MERT, ÖKSÜZ İLKAY, KARAARSLAN ERCAN

İlkay Öksüz Özgün Makale Deep learning Magnetic resonance imaging Prostate cancer

An integrated Recurrent Predictor Neural Network Particle Filter RPNN PF approach for detection of process drifts

INFORMS World Conference, San Antonio/AMERİKA BİRLEŞİK DEVLETLERİ, 7 Kasım 2010

RAO PRAHALAD, BEYCA ÖMER FARUK

Ömer Faruk Beyca Özet Bildiri

Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel

Mathematics, Vol. 10, No. 22, Kasım 2022, ISSN: 2227-7390

UYANIK TAYFUN, YALMAN YUNUS, KALENDERLİ ÖZCAN, ARSLANOĞLU YASİN, TERRİCHE YACİNE TERRİCHE, SU CHUN-LİEN, GUERRERO JOSEP M.

Yasin Arslanoğlu Özgün Makale fuel consumption; energy efficiency; machine learning; deep neural network; power prediction

Recovery of impenetrable rough surface profiles via CNN-based deep learning architecture

INTERNATIONAL JOURNAL OF REMOTE SENSING, Vol. 43, Ocak 2022, s. 28, ISSN: 0143-1161

AYDIN İZDE, BUDAK GÜVEN, SEFER AHMET, YAPAR ALİ

Ali Yapar Özgün Makale Convolutional neural network deep learning inverse scattering problems rough surface imaging

Adaptive PID controller design by using adaptive interaction approach theory

2013 3rd International Conference on Electric Power and Energy Conversion Systems, İstanbul/TÜRKİYE, 2 Ekim 2013

GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN

Tayfun Gündoğdu Tam metin bildiri Adaptive Interactionadaptive neural networkself-tuningPID controllerDC motor controlNEURAL-NETWORKS

Fault section estimation in electrical power systems using artificial neural network approach

the 1999 IEEE/PES Transmission and Distribution Conference, Vol. 2, 11 Nisan 1999, s. 466-469

BATMAN ZEHRA ELİF,ŞEKER ŞAHİN SERHAT,BAĞRIYANIK FATMA GÜL,BAĞRIYANIK MUSTAFA,AYAZ EMİNE

Fatma Gül Bağrıyanık Tam metin bildiri

Self-tuning PID control of a brushless DC motor by adaptive interaction

IEEJ Transactions on Electrical and Electronic Engineering, Vol. 9, No. 4, Temmuz 2014, s. 384-390, ISSN: 19314973

GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN

Tayfun Gündoğdu Özgün Makale adaptive interactionadaptive controladaptive neural networkself-tuningproportional integral derivative (PID) controllerbrushless DC (BLDC) motor control

Assessing the Performance of Kriging and Artificial Neural Network in Simulation-based Design Optimization

A.Yücel ODABAŞI Colloquium Series 4th International Meeting, İstanbul/TÜRKİYE, 15 Aralık 2022

PEHLİVAN HAYRİYE, DANIŞMAN DEVRİM BÜLENT, GÖREN ÖMER

Devrim Bülent Danışman Tam metin bildiri

State Of Health Estimation In Electric Vehicles Based On Artificial Neural Network

4. INTERNATIONAL SCIENCES AND INNOVATION CONGRESS, Ankara/TÜRKİYE, 19 Şubat 2022

DİNEK MUSTAFA, İKİZOĞLU SERHAT

Serhat İkizoğlu Tam metin bildiri

gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs

2022 IEEE International Symposium on Workload Characterization (IISWC), 6 Kasım 2022

TEKDOĞAN TAHA, GÖKTAŞ SERKAN, YILMAZER METİN AYŞE

Ayşe Yılmazer Metin Tam metin bildiri

CNN-Based Deep Learning Architecture for Electromagnetic Imaging of Rough Surface Profiles

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, Vol. 70, No. 10, Ocak 2022, s. 12, ISSN: 0018-926X

AYDIN İZDE, BUDAK GÜVEN, SEFER AHMET, YAPAR ALİ

Ali Yapar Özgün Makale Surface roughness Rough surfaces Imaging Surface waves Surface treatment Inverse problems Electromagnetics Convolutional neural network (CNN) deep learning (DL) electromagnetics (EMs) inverse scattering problems rough surface imaging

Comparison of discrete-time sliding mode control algorithms for seismic control of buildings with magnetorheological fluid dampers

JOURNAL OF VIBRATION AND CONTROL, Ocak 2022, ISSN: 1077-5463

KEMERLİ MUAZ, ŞAHİN ÖZGE, YAZICI İRFAN, ÇAĞLAR NACİ, ENGİN TAHSİN

Tahsin Engin Özgün Makale sliding mode control magnetorheological damper semi-active control neural network Gao controller hybrid controller discrete-time

Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, Vol. 19, No. 5, Ocak 2020, ISSN: 1475-9217

KHANİ MAHTAB MOHTASHAM, VAHİDNİA SAHAND, GHASEMZADEH LEİLA, YUVALAKLİOGLU MUSTAFA, OZTURK EREN, AKIN SELİM, ÜRE NAZIM KEMAL

Nazım Kemal Üre Özgün Makale Convolutional neural network CNN image processing crack detection gas turbine machine learning deep learning classification computer vision structural health monitoring

Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films

Expert Systems with Applications, Vol. 207, Kasım 2022, ISSN: 0957-4174

DEMİRBAY BARIŞ, BAYRAM KARA DUYGU, UĞUR ŞAZİYE

Duygu Bayram Kara Özgün Makale

Neural network dose prediction for rectal spacer stratification in dose-escalated prostate radiotherapy

MEDICAL PHYSICS, Vol. 49, No. 4, Ocak 2022, s. 11, ISSN: 0094-2405

THOMAS CHRİSTOPHER, DRAGELY ISABEL, ÖKSÜZ İLKAY, URBANO TERESA GUERRERO, GREENER TONY, KİNG ANDREW P., BARRİNGTON SALLY

İlkay Öksüz Özgün Makale dose prediction prostate radiotherapy rectal spacer rectal toxicity stratify

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