ARAMA SONUÇLARI

Toplam 446 adet sonuçtan 20 tanesi görüntülenmektedir.

Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul

APPLIED OCEAN RESEARCH, Vol. 112, Temmuz 2021, ISSN: 0141-1187

UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN

Tayfun Uyanık Özgün Makale Safe navigation Risk assessment Istanbul strait Machine learning Visibility prediction

Evolved model for early fault detection and health tracking in marine diesel engine by means of machine learning techniques

POMORSTVO-SCIENTIFIC JOURNAL OF MARITIME RESEARCH, Vol. 36, No. 1, Ocak 2022, s. 94-105, ISSN: 1332-0718

ŞAHİN TOLGA, İMRAK CEVAT ERDEM, ÇAKIR ALTAN, CANDAŞ ADEM

Cevat Erdem İmrak Özgün Makale Machine learning Multiclass classification Marine diesel engine Fault detection

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

IEEE Access, Vol. 11, Ocak 2023, s. 124760-124781, ISSN: 2169-3536

AKINCI TAHİR ÇETİN, ERDEMİR GÖKHAN, ZENGİN AYDIN TARIK, ŞEKER ŞAHİN SERHAT, IDRİSS ABDOULKADER IBRAHİM

Aydın Tarık Zengin Derleme Makale Power line communication error correction codes machine learning transmission control protocols communication protocols power networks

Evolved model for early fault detection and health tracking in marine diesel engine by means of machine learning techniques

Pomorstvo, Vol. 36, No. 1, Ağustos 2022, s. 95-104, ISSN: 1332-0718

ŞAHİN TOLGA, İMRAK CEVAT ERDEM, ÇAKIR MUAMMER ALTAN, CANDAŞ ADEM

Adem Candaş Özgün Makale Machine learningMulticlass classificationMarine diesel engineFault detectionDECISION-SUPPORT-SYSTEMCLASSIFICATION

Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets

URBAN WATER JOURNAL, Vol. 19, No. 10, Ocak 2022, ISSN: 1573-062X

EKMEKÇİCOĞLU ÖMER, BAŞAKIN EYYUP ENSAR, ÖZGER MEHMET

Mehmet Özger Özgün Makale Hydraulic efficiency meta-heuristics optimization storm water grate inlet tree-based machine learning urban drainage

Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods

ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914

AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL

Yusuf Yaslan Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine

Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods

ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914

AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL

Mustafa Ersel Kamaşak Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine

A multi-spectral myelin annotation tool for machine learning based myelin quantification

F1000 Research Ltd, Vol. 9, Kasım 2023, ISSN: 2046-1402

ÇAPAR ABDULKERİM, ÇİMEN SİBEL, ALADAG ZEYNEP, EKİNCİ DURSUN ALİ, AYTEN UMUT ENGİN, KERMAN BİLAL ERSEN, TÖREYİN BEHÇET UĞUR

Abdulkerim Çapar Özgün Makale myelin annotation tool myelin quantification fluorescence images machine learning image analysis

Developing a Machine Learning Model to Predict Silicate Impurity in Iron Ore Flotation Concentrate

IMPS 2022 - 17th International Mineral Processing Symposium, İstanbul/TÜRKİYE, 15 Aralık 2022

PURAL YUSUF ENES

Yusuf Enes Pural Tam metin bildiri FlotationGrade EstimationMachine LearningRandom ForestMulti-Layer Perceptron

Audio Genre Classification with Semi-Supervised Feature Ensemble Learning

2nd International Workshop on Machine Learning and Music MML 2009, 7 Eylül 2009

YASLAN YUSUF,ÇATALTEPE ZEHRA

Yusuf Yaslan Tam metin bildiri

Transfer precipitation learning via patterns of dependency matrix-based machine learning approaches

Springer Science and Business Media LLC, Vol. 34, Ağustos 2022, ISSN: 0941-0643

ALTUNKAYNAK ABDÜSSELAM, KÜLLAHCI KÜBRA

Abdüsselam Altunkaynak Özgün Makale

Transfer sea level learning in the Bosphorus Strait by wavelet based machine learning methods

OCEAN ENGINEERING, Vol. 233, Ağustos 2021, ISSN: 0029-8018

ALTUNKAYNAK ABDÜSSELAM, KARTAL ELİF

Abdüsselam Altunkaynak Özgün Makale

Deep Learning-Aided Spatial Multiplexing with Index Modulation

3rd International Conference on Machine Learning for Networking (MLN’xx2020), 24 Kasım 2020

TURAN MERVE,ÖZTÜRK ERSİN,ÇIRPAN HAKAN ALİ

Hakan Ali Çırpan Tam metin bildiri

Short-term forecasting of wind power production using machine learning and deep learning methods

Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018

FEYRUZ AKSOY

Ömer Usta Tez Yüksek Lisans Tamamlandı

Developing a decision-support system using machine learning and deep learning models for daily demand forecasting: A case study

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023

RANA EZGİ KÖSE

Ferhan Çebi Tez Yüksek Lisans Tamamlandı

Deep feature transfer from deep learning models into machine learning algorithms to classify COVID-19 from chest X-ray images

Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021

OZAN GÜLDALİ

Gül İnan Tez Yüksek Lisans Tamamlandı

Machine Learning Algorithms to Forecast Population: Turkey Example Turkey,274-282.

ETMS, 9 Ekim 2019

ŞAHİNARSLAN FATİH,TEKİN AHMET,ÇEBİ FERHAN

Ferhan Çebi Tam metin bildiri

Federated Machine Learning In 5G Smart Healthcare: A Security Perspective Review

Elsevier BV, Vol. 224, Ocak 2023, ISSN: 1877-0509

SHAYEA IBRAHEEM ABDULLAH MOHAMMED

Ibraheem Abdullah Mohammed Shayea Özgün Makale wireless communication

Chapter 111 Stock Price Prediction: Fuzzy Clustering-Based Approach Encyclopedia of Data Science and Machine Learning (5 Volumes)

2023, IGI GLOBAL

TEKİN AHMET TEZCAN, ÇEBİ FERHAN, KAYA TOLGA

Ferhan Çebi Bilimsel KitapKitap Bölümü

Malfunction Detection on Production Line Using Machine Learning: Case Study in Wood Industry

INFUS 2020, 21 Temmuz 2020

ÖZGÜN KAĞAN,AKLAN SC,TEKİN AHMET,ÇEBİ FERHAN

Ferhan Çebi Tam metin bildiri

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