Napredno

 
  Išči
    Enostavno iskanje


Rezultati

282 rezultatov
111 - 120 / 282
Na začetekNa prejšnjo stran891011121314151617Na naslednjo stranNa konec
111. Impact of leverage on convergence in member states of the European Union
Jan Porenta, 2018, magistrsko delo

Ključne besede: EU, membership, public debt, convergence, data, research, analysis
Celotno besedilo (povezava drugam)

112. Data mining for fault diagnostics
Dominik Kozjek, Rok Vrabič, David Kralj, Peter Butala, Nada Lavrač, 2019, objavljeni znanstveni prispevek na konferenci

Ključne besede: fault diagnostics, plastic injection molding, data analytics, data mining, industrial data
Celotno besedilo (datoteka, 947,08 KB) Gradivo ima več datotek! Več...

113. Embedding to Reference t-SNE Space Addresses Batch Effects in Single-Cell Classification
Pavlin Gregor Poličar, 2019, magistrsko delo/naloga

Ključne besede: batch effects, embedding, t-SNE, visualization, single-cell transcriptomics, data integration, domain adaptation
Celotno besedilo (datoteka, 16,34 MB)

114. Use of hybrid methods for neutron transport and sensitivity analysis
Bor Kos, 2020, doktorska disertacija

Ključne besede: hybrid transport, variance reduction, nuclear data, sensitivity, uncertainty, shielding, fusion, fission, total Monte Carlo (TMC), MCNP, ADVANTG, Denovo, SUSD3D, SANDY
Celotno besedilo (datoteka, 22,24 MB)

115. Wind energy: measuring station and cloud based analysis
ALEXANDER MARINŠEK, 2019, magistrsko delo/naloga

Ključne besede: Wind energy, wind turbines, measuring station, cloud platform, data analysis
Celotno besedilo (datoteka, 11,34 MB)

116. Scalable matrix factorization for data fusion
Andrej Čopar, 2019, doktorsko delo/naloga

Ključne besede: Machine learning, bioinformatics, matrix factorization, data fusion
Celotno besedilo (datoteka, 4,53 MB)

117. Incremental matrix factorization for simultaneous learning from parallel data streams
Martin Jakomin, 2019, doktorsko delo/naloga

Ključne besede: machine learning, matrix factorization, data streams, data fusion, incremental learning, recommender systems, synthetic data generator
Celotno besedilo (datoteka, 2,91 MB)

118. An overall data analysis methodology for PV energy systems
Julián Andrés Ascencio Vásquez, Marko Topič, 2017, objavljeni znanstveni prispevek na konferenci

Ključne besede: PV systems, performance, data analysis
Celotno besedilo (datoteka, 515,09 KB)

119. Data stream fusion for predicting electricity price
Jaka Konda, 2019, magistrsko delo/naloga

Ključne besede: machine learning, time-series forecasting, incremental learning, data fusion, data streaming, electricity price prediction
Celotno besedilo (datoteka, 1,09 MB)

120. Global climate data processing and mapping of degradation mechanisms and degradation rates of PV modules
Julián Andrés Ascencio Vásquez, Ismail Kaaya, Kristijan Brecl, Karl-Anders Weiß, Marko Topič, 2019, izvirni znanstveni članek

Ključne besede: photovoltaics, degradation, PV systems, climate zones, climate data
Celotno besedilo (datoteka, 15,07 MB) Gradivo ima več datotek! Več...
Iskanje izvedeno v 0.04 sek.
Na vrh