21. LDAFMatevž Pustišek, Dejan Dolenc, Andrej Kos, 2019, izvirni znanstveni članek Ključne besede: fog computing, internet of things, communication constrains, gateway, blockchain Celotno besedilo (datoteka, 1,84 MB) Gradivo ima več datotek! Več... |
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25. Configurational Electronic States in Layered Transition Metal DichalcogenidesJaka Vodeb, 2021, doktorska disertacija Ključne besede: charge density waves, transition metal dichalcogenides, polarons, charged lattice gas model, Monte Carlo simulations, glasses, phase transitions and critical phenomena, scanning tunnelling microscopy, quantum computing, quantum annealing Celotno besedilo (datoteka, 24,43 MB) |
26. Datasets for cognitive load inference using wearable sensors and psychological traitsMartin Gjoreski, Tine Kolenik, Timotej Knez, Mitja Luštrek, Matjaž Gams, Hristijan Gjoreski, Veljko Pejović, 2020, izvirni znanstveni članek Ključne besede: cognitive load, dataset, Affective Computing, machine learning, physiology, personality traits, sensor data Celotno besedilo (datoteka, 311,40 KB) Gradivo ima več datotek! Več... |
27. On the design of an energy efficient digital IIR A-weighting filter using approximate multiplicationRatko Pilipović, Vladimir Risojević, Patricio Bulić, 2021, izvirni znanstveni članek Ključne besede: band-pass digital filters, A-weighting filter, approximate computing, approximate filter, noise sensing Celotno besedilo (datoteka, 1,05 MB) Gradivo ima več datotek! Več... |
28. A hybrid radix-4 and approximate logarithmic multiplier for energy efficient image processingUroš Lotrič, Ratko Pilipović, Patricio Bulić, 2021, izvirni znanstveni članek Ključne besede: approximate multiplier, approximate computing, arithmetic circuit design, hybrid encoding, radix-4 encoding, logarithmic encoding, energy-efficient processing Celotno besedilo (datoteka, 5,05 MB) Gradivo ima več datotek! Več... |
29. 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... |
30. Analysis of machine learning algorithms for anomaly detection on edge devicesAleks Huč, Jakob Šalej, Mira Trebar, 2021, izvirni znanstveni članek Ključne besede: machine learning, classification, edge computing, imbalanced dataset, training dataset, anomaly detection, clustering Celotno besedilo (datoteka, 10,89 MB) Gradivo ima več datotek! Več... |