11. Learning to combine local and global image information for contactless palmprint recognitionMARJAN STOIMCHEV, 2021, magistrsko delo/naloga Ključne besede: Palmprint Recognition, Contactless Palmprint Images, Elastic Deformations, Convolutional Neural Networks, Deep Learning, Center Loss, Discriminative Feature Learning Celotno besedilo (datoteka, 18,55 MB) |
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15. Improved Mammography Classification using Data Augmentation and Transfer LearningANA PETERKA, 2022, diplomsko delo Ključne besede: Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Networks, Generative Adversarial Networks, Mammography, Cancer Detection. Celotno besedilo (datoteka, 1,02 MB) |
16. An approximate GEMM unit for energy-efficient object detectionRatko Pilipović, Vladimir Risojević, Janko Božič, Patricio Bulić, Uroš Lotrič, 2021, izvirni znanstveni članek Ključne besede: approximate computing, logarithmic multiplier, computer arithmetic, energy-efficient processing, tensor core, approximate general matrix multiplication, GEMM, matrix core, approximate multipliers, convolutional neural networks, object detection, YOLOv4-tiny, honeybee detection Celotno besedilo (datoteka, 4,22 MB) Gradivo ima več datotek! Več... |
17. Learning to combine local and global image information for contactless palmprint recognitionMarjan Stoimčev, Marija Ivanovska, Vitomir Štruc, 2022, izvirni znanstveni članek Ključne besede: palmprint recognition, contactless palmprint images, elastic deformations, convolutional neural networks, deep learning, ArcFace loss, center loss, discriminative feature learning Celotno besedilo (datoteka, 18,20 MB) Gradivo ima več datotek! Več... |
18. Detecting surface anomalies with deep learningDomen Rački, 2022, doktorska disertacija Ključne besede: Surface defect detection, visual inspection, quality control, solid oral dosage forms, pharmaceutical industry, deep learning, segmentation, convolutional neural networks, visual anomaly detection Celotno besedilo (datoteka, 11,17 MB) |
19. Characterization of biocomposites and glass fiber epoxy composites based on acoustic emission signals, deep feature extraction, and machine learningTomaž Kek, Primož Potočnik, Martin Misson, Zoran Bergant, Mario Sorgente, Edvard Govekar, Roman Šturm, 2022, izvirni znanstveni članek Ključne besede: polymer composites, biocomposites, GFE composites, acoustic emission, deep feature extraction, convolutional autoencoder, machine learning, neural networks Celotno besedilo (datoteka, 1,45 MB) Gradivo ima več datotek! Več... |
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