61. Quantifying complex influences of chemical composition and soaking conditions for increasing the hot workability of M2 high-speed steel by using the alternative approachIztok Peruš, Heinz Palkowski, Goran Kugler, Milan Terčelj, 2020, izvirni znanstveni članek Ključne besede: M2 HSS, hot workability, hot compression, hot torsion, chemical compositions, Latin Hypercube Sampling, neural networks Celotno besedilo (datoteka, 3,05 MB) Gradivo ima več datotek! Več... |
62. To BAN or not to BANKristian Miok, Blaž Škrlj, Daniela Zaharie, Marko Robnik Šikonja, 2022, izvirni znanstveni članek Ključne besede: natural language processing, machine learning, transformer neural networks, Bayesian neural networks, BERT models, prediction uncertainty, reliability estimation, Monte Carlo dropout, Bayesian BERT, sentic computing, model calibration Celotno besedilo (datoteka, 3,06 MB) Gradivo ima več datotek! Več... |
63. Reconstructing superquadrics from intensity and color imagesDarian Tomašević, Peter Peer, Franc Solina, Aleš Jaklič, Vitomir Štruc, 2022, izvirni znanstveni članek Ključne besede: superquadrics, reconstruction, color images, deep learning, convolutional neural networks Celotno besedilo (datoteka, 17,96 MB) Gradivo ima več datotek! Več... |
64. Training artificial neural networks using substructuring techniquesJure Korbar, Domen Ocepek, Gregor Čepon, Miha Boltežar, 2023, izvirni znanstveni članek Ključne besede: joint identification, dynamic substructuring, frequency-based substructuring, artificial neural networks, physics-based computational model Celotno besedilo (datoteka, 1,75 MB) Gradivo ima več datotek! Več... |
65. An improved MSCNN and GRU model for rolling bearing fault diagnosisTeng Wang, Youfu Tang, Tao Wang, Na Lei, 2023, izvirni znanstveni članek Ključne besede: SENet, multiscale convolutional neural networks, gate recurrent unit, rolling bearings, fault diagnosis Celotno besedilo (datoteka, 3,30 MB) Gradivo ima več datotek! Več... |
66. Brain Tumor Segmentation on MRI BraTS Data using convolutional neural networks: experimental study and comparisonIrena Dragičević, 2023, magistrsko delo Ključne besede: master's theses, radiologic technology, convolutional neural networks, U-Net, BraTS, glioma segmentation, multimodal segmentation, medical image segmentation, machine learning Celotno besedilo (datoteka, 4,11 MB) |
67. Development of in silico classification models for binding affinity to the glucocorticoid receptorMark Stanojević, Marjan Vračko, Marija Sollner Dolenc, 2023, izvirni znanstveni članek Ključne besede: endocrine disruptions, binding to glucocorticoid receptor, in silico classification, counterpropagation artificial neural networks, DRAGON descriptors Celotno besedilo (datoteka, 2,95 MB) Gradivo ima več datotek! Več... |
68. Human-centered deep compositional model for handling occlusionsGregor Koporec, Janez Perš, 2023, izvirni znanstveni članek Ključne besede: computer vision, deep learning, convolutional neural networks, hierarchical compositional model, occlusion, discriminability, generalizability, interpretability, domain knowledge, instance segmentation, occlusion handling Celotno besedilo (datoteka, 2,69 MB) Gradivo ima več datotek! Več... |
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