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Toplam 32 adet sonuçtan 20 tanesi görüntülenmektedir.

Captain Phillips requires increased integrated skills on board!

29. International Maritime English Conference (imec 29), Busan/GÜNEY KORE, 23 Ekim 2017, s. 350-362

ÖZENİR MÜJGAN

Müjgan Özenir Tam metin bildiri learning stylesaudio-visual learnersfeature filmscommunicative skillseffectivenessCaptain Phillips

Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation

Entropy, Vol. 24, No. 11, Kasım 2022, ISSN: 1099-4300

YÜCEL MERİÇ, BAGİS SERDAR, SERTBAŞ AHMET, ÜSTÜNDAĞ BURAK BERK

Meriç Yücel Özgün Makale clustering codebook generation cortical coding model distortion entropy maximization execution time feature extraction machine learning real-time execution vector quantization

A New Method to Detect Malicious DNS over HTTPS via Feature Reduction

2024 9th International Conference on Computer Science and Engineering (UBMK), Antalya/TÜRKİYE, 26 Ekim 2024, s. 754-759, ISSN: 2521-1641

BOZKURT ALİ KEREM,SÖNMEZ SARIKAYA BURCU,AKÖZ HALİL EFE,TAŞPINAR ATABERK,BAHTİYAR ŞERİF

Şerif Bahtiyar Tam metin bildiri DNS TunnelingDoHMachine LearningFeature Reduction

Classification of Stochastic Processes with Topological Data Analysis

BAŞARIM2022- 7. Ulusal Yüksek Başarımlı Hesaplama Konferansı, İstanbul/TÜRKİYE, 11 Mayıs 2022

GÜZEL İSMAİL, KAYGUN ATABEY

Atabey Kaygun Tam metin bildiri persistent homologystochastic processmachine learningfeature engineering

Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol. 60, Ocak 2022, s. 11, ISSN: 0196-2892

EFREMOVA NATALİA, EL AMİNE SEDDİK MOHAMED, ERTEN ESRA

Esra Erten Özgün Makale Soil moisture Feature extraction Satellites Data models Predictive models Training Soil measurements Agriculture generative adversarial networks (GANs) machine learning (ML) Sentinel-1 Sentinel-2 soil moisture (SM) unsupervised domain adaptation

Fully Automated, Quality-Controlled Cardiac Analysis From CMR Validation and Large-Scale Application to Characterize Cardiac Function

JACC-CARDIOVASCULAR IMAGING, Vol. 13, No. 3, Mart 2020, s. 684-695, ISSN: 1936-878X

RUİJSİNK BRAM,PUYOL-ANTON ESTHER,ÖKSÜZ İLKAY,SİNCLAİR MATTHEW,BAİ WENJİA,SCHNABEL JULİA A.,RAZAVİ REZA,KİNG ANDREW P.

İlkay Öksüz Özgün Makale cardiac agingcardiac functioncardiac magnetic resonanceCMR feature trackingmachine learningquality control

Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation

ENTROPY, Vol. 24, No. 11, Ocak 2022, s. 1678, ISSN: 1099-4300

YÜCEL MERİÇ, BAGIS SERDAR, SERTBAŞ AHMET, SARIKAYA MEHMET, ÜSTÜNDAĞ BURAK BERK

Burak Berk Üstündağ Özgün Makale clustering codebook generation cortical coding model distortion entropy maximization execution time feature extraction machine learning real-time execution vector quantization

An adaptive and enhanced framework for daily stock market prediction using feature selection and ensemble learning algorithms

Informa UK Limited, Vol. 7, Ekim 2023, ISSN: 2573-234X

SİVRİ MAHMUT SAMİ, ÜSTÜNDAĞ ALP

Alp Üstündağ Özgün Makale

Integrating Feature Engineering, Genetic Algorithm and Tree-Based Machine Learning Methods to Predict the Post-Accident Disability Status of Construction Workers

Automation in Construction, Vol. 131, Kasım 2021, s. 103896-103896, ISSN: 0926-5805

KOÇ KERİM, EKMEKCİOĞLU ÖMER, GÜRGÜN ASLI PELİN

Ömer Ekmekcioğlu Özgün Makale

The impact of collocational features in Turkish Word Sense Disambiguation

IEEE 16th International Conference on Intelligent Engineering Systems (INES), Lisbon/PORTEKİZ, 13 Haziran 2012, s. 527-530

İLGEN BAHAR,ADALI EŞREF,TANTUĞ AHMET CÜNEYD

Ahmet Cüneyd Tantuğ Tam metin bildiri word sense disambiguationfeature selectionmachine learning

Autonomous Cell Feature Selection by Machine Learning

American Society of Cell Biology ASCB|EMBO Meeting, Washington, D.C./AMERİKA BİRLEŞİK DEVLETLERİ, 3 Aralık 2022

TİRYAKİ VOLKAN MÜJDAT, AYRES VIRGINIA M, AHMED IJAZ, SHREIBER DAVID I

Volkan Müjdat Tiryaki Özet Bildiri

The effect of using different feature sets and flight data envelopes on the fidelity of deep learning based system identification of a fighter aircraft

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024

MEHMET CAN ŞEN

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