ARAMA SONUÇLARI

Toplam 1867 adet sonuçtan 20 tanesi görüntülenmektedir.

Interactive learning based nodule detection in ct lung volumes

Interactive learning based nodule detection in ct lung volumes, SIU 2016, 16 Mayıs 2016

ÇAM İLKER, TEK FAİK BORAY

Faik Boray Tek Tam metin bildiri

Machine learning approach to ship fuel consumption: A case of container vessel

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, Temmuz 2020, ISSN: 1361-9209

UYANIK TAYFUN,KARATUĞ ÇAĞLAR,ARSLANOĞLU YASİN

Çağlar Karatuğ Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSDRIVENRIDGE

Comparative Study of Hyperspectral Imagery Classification with SVM and Ensemble Machine Learning Methods

6th Intercontinental Geoinformation Days (IGD), Bakü/AZERBAYCAN, 13 Haziran 2023

ATİK ŞAZİYE ÖZGE

Şaziye Özge Atik Tam metin bildiri ENSEMBLE METHODSMACHINE LEARNINGHYPER-SPECTRAL

Improving Classification Performance of Fully Connected Layers by Fuzzy Clustering in Transformed Feature Space

SYMMETRY-BASEL, Vol. 14, No. 4, Mart 2022, s. 1-14, ISSN: 2073-8994

KALAYCI TOLGA AHMET, ASAN UMUT

Umut Asan Özgün Makale fully connected layerclassificationfuzzy clusteringneural networksmachine learningdeep learningSEMI-SUPERVISED CLASSIFICATIONNEURAL-NETWORKALGORITHMSREGULARIZATION

Predicting the ocean currents using deep learning

Journal of Applied and Engineering Mathematics, Vol. 13, No. 1, Ocak 2023, s. 373-385, ISSN: 2146-1147

BAYINDIR CİHAN

Cihan Bayındır Özgün Makale Deep LearningOcean Currents

Multi Channel Brain EEG Signals Based Emotional Arousal Classification with Unsupervised Feature Learning using Autoencoders

2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 15 Mayıs 2017

AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL

Yusuf Yaslan Tam metin bildiri Brain EEG AnalysisArousal RecognitionMulti-channel sensor processingSignal ProcessingkNNRandom ForestsAutoencodersFeature LearningBrain Computer Interface

Development and application of a rubric specific for the senior year Graduation Design Projects for assessing learning outcomes

International Congress on Education, Innovation and Learning Technolo, 21 Eylül 2015

GÖMEÇ ÇİĞDEM,KOSE MUTLU B,DULEKGURGEN E,OZTURK I,TANİK A

Çiğdem Gömeç Tam metin bildiri

Machine-Learning-Based Classification of Urban Voids: Case Study of “Balat and Fener, Istanbul, Turkey”

SPACE International Journal of Conference Proceedings, Vol. 3, No. 1, Temmuz 2023, s. 17-24, ISSN: 2977-814X

SAMADİ MOJTABA, AKÇAY KAVAKOĞLU AYŞEGÜL

Ayşegül Akçay Kavakoğlu Özgün Makale urban voids interim reuse decision tree machine learning climate change mitigation

Learning by Imitation and Implementation Of Sign Language Gestures by a Humanoid Robot

2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), No. null, 16 Mayıs 2015, s. 1993-1996

KIVRAK HASAN,KÖSE HATİCE

Hatice Köse Tam metin bildiri learning by imitationsign languagehumanoid robotshuman-robot interaction

Using Weka Data-Mining Analysis To Determine Ship EmergencyPreparedness Level In Case Of Fire

Future Learning 2018 (7th International Conference on “Innovations in Learning for the Future”: Digital Transformation inEducation), Istanbul/TÜRKİYE, 11 Eylül 2019

OZTURK TAC BURCU,ÇELİK METİN,AKYÜZ EMRE

Emre Akyüz Tam metin bildiri

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

Web Based Anomaly Detection Using Zero-Shot Learning With CNN

IEEE ACCESS, Vol. 11, Ocak 2023, s. 15, ISSN: 2169-3536

YILMAZER DEMİREL DİLEK, SANDIKKAYA MEHMET TAHİR

Mehmet Tahir Sandıkkaya Özgün Makale Zero-shot learning CNN web attacks attack detection anomaly detection

Graph Embedding via High Dimensional Model Representation for Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, Ocak 2022, ISSN: 0196-2892

TAŞKIN KAYA GÜLŞEN, CAMPS-VALLS GUSTAU

Gülşen Taşkın Kaya Özgün Makale Hyperspectral imaging Manifold learning Germanium Manifolds Kernel Laplace equations Eigenvalues and eigenfunctions Dimensionality reduction (DR) feature extraction hyperspectral image (HSI) classification manifold learning manifold out-of-sample (OOS) problem

Breast cancer mass classification using machine learning, binary-coded genetic algorithms, and an ensemble of deep transfer learning

The Computer Journal, Vol. 67, No. 3, Mart 2024, s. 1111-1125, ISSN: 1460-2067

TİRYAKİ VOLKAN MÜJDAT, TUTKUN NEDİM

Volkan Müjdat Tiryaki Özgün Makale

A Hybrid Deep Learning and Optical Flow Framework for Monocular Capsule Endoscopy Localization

ELECTRONICS, Vol. 14, No. 18, Ocak 2025, s. 24, ISSN: 2079-9292

YAKAR İREM,KUÇAK RAMAZAN ALPER,BİLGİ SERDAR,FERHANOĞLU ONUR,AKINCI TAHİR ÇETİN

Ramazan Alper Kuçak Özgün Makale localization capsule endoscopy SLAM deep learning optical flow

Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis

EUROPEAN JOURNAL OF RADIOLOGY, Vol. 173, Ocak 2024, s. 8, ISSN: 0720-048X

ÇEREKÇİ ESMA,ALİŞ DENİZ CAN,DENİZOĞLU NURPER,ÇAMURDAN ÖZDEN,ŞEKER MUSTAFA EGE,ÖZER CANER,HANSU MUHAMMED YUSUF,TANYEL TOYGAR,ÖKSÜZ İLKAY,KARAARSLAN ERCAN

Caner Özer Özgün Makale Breast Cancer Deep Learning Mammogram XAI

Ship Detection From Optical Satellite Images With Deep Learning

2019 9TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST), No. null, 11 Haziran 2019, s. 479-484

KARTAL MESUT,DUMAN OSMAN

Mesut Kartal Tam metin bildiri ship detectionoptical satellite imagedeep learningtensorflowpythonartificial neural networks

Students CALLing Students Blended Language Learning Experience

1st International Conference on Foreign Language Teaching and Applied Linguistics: Linguistic and Cultural Diversity within Learning Communities: Cross-cultural and Trans-national Perspectives, Saraybosna/BOSNA HERSEK, 5 Mayıs 2011

BİLGİN HATİCE

Hatice Bilgin Tam metin bildiri

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, s. 991-1000

PURAL YUSUF ENES

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

Harnessing Engagement and Effectiveness in EElisa Activities Through Game-Based Learning: Examination of A Workshop Series by The Circular EElisa Community

1st EELISA INTERNATIONAL CONFERENCE, Bükreş/ROMANYA, 4 Ekim 2023, s. 18-20

AKÇAY KAVAKOĞLU AYŞEGÜL, AKÇAKAYA WAITE JR İMGE, ROBESCU LACRAMIOARA DIANA, COCARTA DIANA MARIANA, VUTA LIANA IOANA, CORSİNİ FİLİPPO

Ayşegül Akçay Kavakoğlu Özet Bildiri Game-based learning methodology assessment sustainability education CIRCULAR IN PLAY Project Circular EELISA Community

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