11. Learning to combine local and global image information for contactless palmprint recognitionMARJAN STOIMCHEV, 2021, master's thesis/paper Keywords: Palmprint Recognition, Contactless Palmprint Images, Elastic Deformations, Convolutional Neural Networks, Deep Learning, Center Loss, Discriminative Feature Learning Full text (file, 18,55 MB) |
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15. Improved Mammography Classification using Data Augmentation and Transfer LearningANA PETERKA, 2022, undergraduate thesis Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Networks, Generative Adversarial Networks, Mammography, Cancer Detection. Full text (file, 1,02 MB) |
16. An approximate GEMM unit for energy-efficient object detectionRatko Pilipović, Vladimir Risojević, Janko Božič, Patricio Bulić, Uroš Lotrič, 2021, original scientific article Keywords: 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 Full text (file, 4,22 MB) This document has more files! More... |
17. Learning to combine local and global image information for contactless palmprint recognitionMarjan Stoimčev, Marija Ivanovska, Vitomir Štruc, 2022, original scientific article Keywords: palmprint recognition, contactless palmprint images, elastic deformations, convolutional neural networks, deep learning, ArcFace loss, center loss, discriminative feature learning Full text (file, 18,20 MB) This document has more files! More... |
18. Detecting surface anomalies with deep learningDomen Rački, 2022, doctoral dissertation Keywords: Surface defect detection, visual inspection, quality control, solid oral dosage forms, pharmaceutical industry, deep learning, segmentation, convolutional neural networks, visual anomaly detection Full text (file, 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, original scientific article Keywords: polymer composites, biocomposites, GFE composites, acoustic emission, deep feature extraction, convolutional autoencoder, machine learning, neural networks Full text (file, 1,45 MB) This document has more files! More... |
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