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276 rezultatov
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111. Comparison of treebased classification algorithms in mapping burned forest areas
Dilek Kucuk Matci, Resul Comert, Ugur Avdan, 2020, izvirni znanstveni članek

Ključne besede: tree-based algorithm, machine learning, remote sensing, dupervised vlassification, Landsat
Celotno besedilo (datoteka, 1,92 MB)

112. Compiler-Level Approximate Mobile Computing
Matevž Fabjančič, 2021, magistrsko delo

Ključne besede: Ubiquitous Computing, Adaptive Approximations, Approximate Computing, Compilers, Android, Deep Learning
Celotno besedilo (datoteka, 1,26 MB)

113. Reinforcement learning in Tarock
Domen Požrl, 2021, magistrsko delo

Ključne besede: reinforcement learning, Tarock, cards, game playing
Celotno besedilo (datoteka, 6,96 MB)

114. Predictive maintenance with Bayesian deep learning
David Nabergoj, 2021, magistrsko delo

Ključne besede: predictive maintenance, remaining useful life, Bayesian deep learning, model evaluation
Celotno besedilo (datoteka, 2,78 MB)

115. Improving the chemical selectivity of an electronic nose to TNT, DNT and RDX using machine learning
Anton Gradišek, Marion van Midden, Matija Koterle, Vid Prezelj, Drago Strle, Bogdan Štefane, Helena Brodnik Žugelj, Mario Trifković, Ivan Kvasić, Erik Zupanič, Igor Muševič, 2019, izvirni znanstveni članek

Ključne besede: artificial nose, e-nose, electronic nose, detection of explosives, chemical selectivity of e-nose, arrays of sensors, machine learning and sensor arrays
Celotno besedilo (datoteka, 2,30 MB) Gradivo ima več datotek! Več...

116. Some predictors of perceived support and proximity in students during COVID-19 distance learning
Sonja Pečjak, Tina Pirc, Anja Podlesek, Cirila Peklaj, 2021, izvirni znanstveni članek

Ključne besede: epidemics, coronavirus, distance learning, resilience (psychological), students, teachers, psychological well being, psychosocial well being, support, proximity, Connor-Davidson resilience scale CD-RISC-10
Celotno besedilo (datoteka, 513,29 KB) Gradivo ima več datotek! Več...

117. AIoT and edge computing of sensor data
Jakob Šalej, 2021, magistrsko delo

Ključne besede: internet of things, machine learning, sensor data, edge computing, anomaly detection
Celotno besedilo (datoteka, 4,80 MB)

118. Empirical modeling of liquefied nitrogen cooling impact during machining Inconel 718
Matija Hriberšek, Lucijano Berus, Franci Pušavec, Simon Klančnik, 2020, izvirni znanstveni članek

Ključne besede: cryogenic machining, cooling impact, Inconel 718, machine learning, adaptive neuro-fuzzy inference system, particle swarm optimization
Celotno besedilo (datoteka, 2,36 MB) Gradivo ima več datotek! Več...

119. Datasets for cognitive load inference using wearable sensors and psychological traits
Martin 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...

120. On the interpretability of machine learning models and experimental feature selection in case of multicollinear data
Franc Drobnič, Andrej Kos, Matevž Pustišek, 2020, izvirni znanstveni članek

Ključne besede: interpretable machine learning, feature multicollinearity, random forests, feature selection, feature importance, greedy feature selection
Celotno besedilo (datoteka, 1,52 MB) Gradivo ima več datotek! Več...
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