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Artikel 51 LAND COVER CLASSIFICATION USING HIGH RESOLUTION SATELLITE IMAGE BASED ON DEEP LEARNING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-3/W10, 2020: 685-690
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Artikel 52 Medical image classification for Alzheimer’s using a deep learning approach
Enthalten in Journal of engineering and applied science Bd. 70, 30.5.2023, Nr. 1, date:12.2023: 1-18
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Artikel 53 Medicine image classification using deep learning: highlighting the MedNet-MoBiL hybrid model
Enthalten in Discover computing Bd. 28, 4.6.2025, Nr. 1, date:12.2025: 1-26
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Artikel 54 Melanoma Skin Cancer Detection and Classification Using Deep Learning and Image Processing
Enthalten in SN Computer Science Bd. 6, 19.5.2025, Nr. 5, date:6.2025: 1-10
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Artikel 55 Multitemporal hyperspectral satellite image analysis and classification using fast scale invariant feature transform and deep learning neural network classifier
Enthalten in Earth science informatics Bd. 16, 31.1.2023, Nr. 1, date:3.2023: 877-886
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Artikel 56 Myocardial scar and left ventricular ejection fraction classification for electrocardiography image using multi-task deep learning
Enthalten in Scientific reports Bd. 14, 29.3.2024, Nr. 1, date:12.2024: 1-13
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Artikel 57 Review on Pest Detection and Classification in Agricultural Environments Using Image-Based Deep Learning Models and Its Challenges
Enthalten in Optical memory and neural networks Bd. 32, 22.12.2023, Nr. 4, date:12.2023: 295-309
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Artikel 58 SATELLITE IMAGE CLASSIFICATION OF BUILDING DAMAGES USING AIRBORNE AND SATELLITE IMAGE SAMPLES IN A DEEP LEARNING APPROACH
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. IV-2, 2018: 89-96
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Artikel 59 Satellite image classification using deep learning approach
Enthalten in Earth science informatics Bd. 17, 3.4.2024, Nr. 3, date:6.2024: 2495-2508
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Artikel 60 Skin cancer image classification using hybrid quantum deep learning model with BiLSTM and MobileNetV2
Enthalten in Quantum machine intelligence Bd. 7, 13.6.2025, Nr. 2, date:12.2025: 1-28
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