ARAMA SONUÇLARI

Toplam 668 adet sonuçtan 20 tanesi görüntülenmektedir.

Determining lateral offsets of rocks along the eastern part of the North Anatolian Fault Zone (Turkey) using spectral classification of satellite images and field measurements

GEOMATICS NATURAL HAZARDS RISK, Vol. 8, No. 2, Nisan 2017, s. 1276-1288, ISSN: 1947-5705

GÜRSOY ÖNDER,KAYA ŞİNASİ,ÇAKIR ZİYADİN,TATAR ORHAN,CANBAZ OKTAY

Şinasi Kaya Özgün Makale NAFZtotal offsetremote sensingspectral classificationSPACEBORNE THERMAL EMISSIONREFLECTION RADIOMETER ASTERSLIP RATESEVOLUTIONEARTHQUAKEKINEMATICSINSARCONSTRAINTSTERMINATIONCOMPONENTS

An approach to dynamic classification of traffic flow patterns

Computer-Aided Civil and Infrastructure Engineering, Vol. 28, No. 4, Nisan 2013, s. 273-288, ISSN: 1093-9687

ÇELİKOĞLU HİLMİ BERK

Hilmi Berk Çelikoğlu Özgün Makale Traffic flowClassificationTraffic pattern

Biomedical Data Classification Using Supervised Classifiers and Ensemble Based Dictionaries

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

TÜYSÜZOĞLU GÖKSU,YASLAN YUSUF

Yusuf Yaslan Tam metin bildiri dictionary learningbin-medical dataclassifier ensembleclassification algorithms

Pollen classification using RBF networks

PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, No. null, 20 Kasım 2006, s. 372

KESGİN FATİH,YASLAN YUSUF

Yusuf Yaslan Tam metin bildiri pollen cell classificationtexture feature extraction and RBF networks

A genetic programming classifier design approach for cell images

SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS, Vol. 4724, 31 Ekim 2007, s. 878

AYDIN AKYOL,YASLAN YUSUF,EROL OSMAN KAAN

Yusuf Yaslan Tam metin bildiri genetic programmingcell classificationclassifier designpollen classification

Comparative Effectiveness of Classification Algorithms in Predicting Diabetes

2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN), 22 Aralık 2024

SHAYEA IBRAHEEM ABDULLAH MOHAMMED

Ibraheem Abdullah Mohammed Shayea Tam metin bildiri Support vector machines Logistic regression Accuracy Machine learning algorithms Prediction algorithms Diabetes Classification algorithms Bayes methods Medical diagnostic imaging Regression tree analysis

Detection of Hazelnut Orchards with Sentinel-2 imagery and machine learning classification algorithms

Symposium on GeoSpatial Technologies: Visions and Horizons 2025 (GeoVisions2025), 8 Ekim 2025

ŞENGÜL GAFUR SEMİ,TÜMER İLAY NUR,SERTEL ELİF,USTAOĞLU BEYZA

İlay Nur Tümer Tam metin bildiri Hazelnut Remote sensing Sentinel-2 Machine learning Classification Phenological stages.

Neural Architecture Search for biomedical image classification: A comparative study across data modalities

ARTIFICIAL INTELLIGENCE IN MEDICINE, Vol. 160, Ocak 2025, s. 19, ISSN: 0933-3657

KUŞ ZEKİ,AYDIN MUSA,KİRAZ BERNA,KİRAZ ALPER

Berna Kiraz Özgün Makale Neural Architecture Search Biomedical image classification Opposition-based differential evolution MedMNIST

EVALUATION OF CLASSIFICATION METHODS FOR DETECTION OF GREENHOUSES FROM SPOT 5 SATELLITE IMAGERY

6TH INTERNATIONAL CONFERENCE ON CARTOGRAPHY AND GIS, VOLS 1 AND 2, Albena/BULGARİSTAN, 13 Haziran 2016, s. 712-717, ISSN: 1314-0604

GÖKSEL ÇİĞDEM,BEKTAŞ BALÇIK FİLİZ,KESKİN MERVE,ÇELİK BAHADIR,CİHAN CEREN,YAĞMUR NUR

Çiğdem Göksel Tam metin bildiri GreenhousesClassificationSupport Vector MachinesSPOT 5

Classification of opacity for polymer nanocomposite films via deep neural network (DNN) classifiers

IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), Biarritz/FRANSA, 8 Ağustos 2022, s. 1-6

DEMİRBAY BARIŞ,BAYRAM KARA DUYGU

Duygu Bayram Kara Tam metin bildiri Bayesian optimizationDeep neural networksClassificationMachine LearningOptical transparencyElectrical conductivityPolymer nanocomposites

Comparative analysis of deep learning approaches for forest stand type classification: insights from the new VHRTreeSpecies benchmark dataset

INTERNATIONAL JOURNAL OF DIGITAL EARTH, Vol. 18, No. 1, Ocak 2025, s. 29, ISSN: 1753-8947

SERTEL ELİF,TOPGÜL ŞULE NUR

Elif Sertel Özgün Makale Forest stand type deep learning classification remote sensing tree species

Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol. 27, No. 4, Ocak 2023, s. 11, ISSN: 2168-2194

ÇALIK NURULLAH, ALBAYRAK ABDÜLKADİR, AKHAN ASLI, TÜRKMEN İLKNUR, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, BİLGİN GÖKHAN, MÜEZZİNOĞLU BAHAR, DURAK ATA LÜTFİYE

Lütfiye Durak Ata Özgün Makale Lesions Image segmentation Histograms Feature extraction Convolutional neural networks Pathology Classification algorithms Cervical lesions cervix hemotoxylen and eosin local histogram features cell morphometric features Kullback-Leibler divergence

Dimensionality Reduction and Classification of Hyperspectral Images Using Object-Based Image Analysis

Journal of the Indian Society of Remote Sensing, Vol. 46, No. 8, Ocak 2018, s. 1297-1306, ISSN: 0974-3006

KAVZOĞLU TAŞKIN,TONBUL HASAN,YILDIZ ERDEMİR MERVE,ÇÖLKESEN İSMAİL

Hasan Tonbul Özgün Makale HyperspectralObject-based image analysisSegmentationPrincipal component analysisClassificationFEATURE-SELECTIONRANDOM FORESTSEGMENTATIONACCURACYSCALELANDSCAPESALGORITHMSMACHINE

DETECTION AND CLASSIFICATION OF FABRIC DEFECTS WITH AN INNOVATIVE MODEL AND PERSPECTIVE

International conference Textile Science and Economy, Zrenjanin/SIRBİSTAN, 25 Ekim 2024, s. 149-155

BİRSEN SİNEM,SARIÇAM CANAN

Sinem Birsen Tam metin bildiri Fabric Defect Detection Fabric Defect Classification Deep Learning Convolutional Neural Networks (CNNs)

Classification of brain strokes using divergence-based convolutional neural networks

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, Vol. 93, Ocak 2024, s. 10, ISSN: 1746-8094

POLAT ÖZLEM,DOKUR ZÜMRAY,ÖLMEZ TAMER

Tamer Ölmez Özgün Makale Brain stroke Image classification Deep neural networks Walsh matrix

Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Vol. 17, Şubat 2024, s. 13, ISSN: 1939-1404

ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER

Muhammed Enes Atik Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud

Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, Ocak 2024, ISSN: 1939-1404

ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER

Zaide Duran Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud

Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol. 27, No. 4, Ocak 2023, s. 11, ISSN: 2168-2194

ÇALIK NURULLAH, ALBAYRAK ABDÜLKADİR, AKHAN ASLI, TÜRKMEN İLKNUR, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, BİLGİN GÖKHAN, MÜEZZİNOĞLU BAHAR, DURAK ATA LÜTFİYE

Behçet Uğur Töreyin Özgün Makale Lesions Image segmentation Histograms Feature extraction Convolutional neural networks Pathology Classification algorithms Cervical lesions cervix hemotoxylen and eosin local histogram features cell morphometric features Kullback-Leibler divergence

Ascending hierarchical classification for camera clustering based on FoV overlaps for WMSN

IET WIRELESS SENSOR SYSTEMS, Vol. 9, No. 6, Aralık 2019, s. 382-388, ISSN: 2043-6386

KURULAY MUHAMMET,SERİDİ HAMİD,BENRAZEK ALA-EDDİNE,FAROU BRAHİM,KOUAHLA ZİNEDDİNE

Music Genre Classification and Recommendation by Using Machine Learning Techniques

2018 Innovations in Intelligent Systems and Applications Conference (ASYU), Adana/TÜRKİYE, 4 Ekim 2018

ELBİR AHMET,ÇAM HİLMİ BİLAL,İYİCAN MEHMET EMRE,ÖZTÜRK BERKAY,AYDIN NİZAMETTİN

Nizamettin Aydın Tam metin bildiri Music genre ClassificationMachine LearningDeep LearningAcoustic features

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