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Toplam 46 adet sonuçtan 20 tanesi görüntülenmektedir.

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Özel Aralık Girişi

A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network
Journal of Marine Engineering & Technology, Mayıs 2024, ISSN: 2046-4177
BİÇEN SAMET,ÇELİK METİN
Automatic Building Extraction using Kernel-based Deep Learning Approach from VHR Imagery
5th Intercontinental Geoinformation Days, NEW DELPHI/HİNDİSTAN, 14 Aralık 2022
BAKIRMAN TOLGA, SELBESOĞLU MAHMUT OĞUZ
Mahmut Oğuz Selbesoğlu Tam metin bildiri
A deep learning approach to EEG based epilepsy seizure determination
2016 24th Signal Processing and Communication Application Conference (SIU), 16 Mayıs 2016
CILASUN HUSREV,YALÇIN HÜLYA
Hülya Yalçın Tam metin bildiri
Guided Soft Actor Critic: A Guided Deep Reinforcement Learning Approach for Partially Observable Markov Decision Processes
IEEE Access, Vol. 9, Aralık 2021, ISSN: 2169-3536
HAKLIDIR MEHMET, TEMELTAŞ HAKAN
Hakan Temeltaş Özgün Makale
Building detection from very high resolution satellite images with deep learning approach
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
ESRA ÖZAYDIN
Elif Sertel Tez Yüksek Lisans Tamamlandı
Land cover and land use classification of multi-modal high-resolution satellite images using multi-task deep learning approach
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
BURAK EKİM
Elif Sertel Tez Yüksek Lisans Tamamlandı
NOISE REMOVAL OF THERMAL IMAGES USING DEEP LEARNING APPROACH
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
AHMET ÇAPCI
Behçet Uğur Töreyin Tez Yüksek Lisans Devam Ediyor
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.
A Data-Driven Multi-Regime Approach for Predicting Energy Consumption
ENERGIES, Vol. 14, No. 20, Ekim 2021, ISSN: 1996-1073
KAHRAMAN ABDULGANI, KANTARDZIC MEHMED, KAHRAMAN MUHAMMET MUSTAFA, KOTAN MUHAMMED
MACHINE VISION BOBBIN ANALYSIS SYSTEM WITH DEEP LEARNING APPROACH
3rd International Congress of Innovative Textiles (ICONTEX 2022), 18 Mayıs 2022
EMEKDAR ELÇİN, AÇIKGÖZ TUFAN HATİCE, ŞAHİN UMUT KIVANÇ, KURŞUN BAHADIR SENEM, AYATA KONUKOĞLU SEVAL, CANSU BATÇIK, BAYTAN T.K., ÇATAK E., ŞENTÜRK Ç.D.
Senem Kurşun Tam metin bildiri
A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya/TÜRKİYE, 15 Mayıs 2017
TATAROĞLU GÖZDE,GENÇ ANIL,KABAKÇI KAAN,ÇAPAR ABDULKERİM,TÖREYİN BEHÇET UĞUR,EKENEL HAZIM KEMAL,TÜRKMEN İLKNUR,ÇAKIR ASLI
Behçet Uğur Töreyin Tam metin bildiri
Deep learning under H2O framework: A novel approach for quantitative analysis of discharge coefficient in sluice gates
JOURNAL OF HYDROINFORMATICS, Vol. 22, No. 6, Ocak 2020, s. 1603-1619, ISSN: 1464-7141
GHORBANI MOHAMMAD ALI, SALMASİ FARZİN, SAGGİ MANDEEP KAUR, BHATİA AMANDEEP SİNGH, KAHYA ERCAN, NOROUZİ REZA
Ercan Kahya Özgün Makale
Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves
Information Processing in Agriculture, Mart 2024, ISSN: 2214-3173
SERİDİ HAMİD,FAROU BRAHİM,KURULAY MUHAMMED,LYNDA DJAKHDJAKHA,BOUACİDA IMANE
Muhammed Kurulay Özgün Makale
A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
TATAROĞLU GÖZDE, GENÇ ANIL, KABAKÇI KAAN, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, EKENEL HAZIM KEMAL, TÜRKMEN İLKNUR, ÇAKIR ASLI
Behçet Uğur Töreyin Tam metin bildiri
A deep learning and RSSI based approach for indoor positioning
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
YÜKSEL KAMURAN DOĞUŞ,TÖREYİN BEHÇET UĞUR
Behçet Uğur Töreyin Tam metin bildiri
Despeckling Based Data Augmentation Approach in Deep Learning Based Radar Target Classification
IGARSS 2022- 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur/MALEZYA, 17 Temmuz 2022
CEYLAN S. H. MERT, ERER IŞIN
Işın Erer Tam metin bildiri
A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images
Expert Systems with Applications, Vol. 212, No. 2023, Şubat 2023, s. 118774, ISSN: 0957-4174
ÇİVİLİBAL SONER, ÇEVİK KERİM KÜRŞAT, BOZKURT AHMET
Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach
Institute of Electrical and Electronics Engineers (IEEE), Vol. 11, Ocak 2023, ISSN: 2169-3536
YAVAŞ MUHARREM UGUR, KUMBASAR TUFAN, ÜRE NAZIM KEMAL
Tufan Kumbasar Özgün Makale
Detecting Multiclass Objects in Remote Sensing Imagery: A Deep Learning Approach
4th International Conference on Computer, Remote Sensing and Aerospace, 5 Temmuz 2024
BÜYÜKKANBER FURKAN,YANALAK MUSTAFA,MUSAOĞLU NEBİYE
Nebiye Musaoğlu Tam metin bildiri
A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network
Journal of Marine Engineering & Technology, Vol. 23, No. 4, Mayıs 2024, s. 291-304, ISSN: 2046-4177
BİÇEN SAMET,ÇELİK METİN
Metin Çelik Özgün Makale

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