17391. |
17392. |
17393. Rapid eukaryotic impedimetric biosensing of naproxen and isoniazidZala Štukovnik, Nik Perko, Urban Bren, 2026 Ključne besede: acute toxicity monitoring, impedimetric biosensor, Saccharomyces cerevisiae, electrochemical impedance spectroscopy, EIS, pharmaceutically active compounds, naproxen, isoniazid Objavljeno v DKUM: 17.06.2026; Ogledov: 201; Prenosov: 18
Celotno besedilo (1,43 MB) Gradivo ima več datotek! Več...
|
17394. Ellagitannins as Al(III) chelatorsFranjo Frešer, Petri Tähtinen, Jelena Tošović, Urban Bren, Gregor Hostnik, 2026 Ključne besede: ellagitannins, Al(II) ions chelation, model function, Job’s method, NMR spectroscopy, densitty functional calculations Objavljeno v DKUM: 17.06.2026; Ogledov: 241; Prenosov: 8
Celotno besedilo (2,03 MB) Gradivo ima več datotek! Več...
|
17395. Replacing the genetic algorithm with multi-objective bacterial foraging optimization in XCSDamijan Novak, Iztok Fister, Jani Dugonik, 2026 Ključne besede: association rule mining, swarm intelligence, cybersecurity, eXtended Classifier System, learning classifier systems, multi-objective optimization, bacterial foraging optimization algorithm, reinforcement learning, optimization algorithms Objavljeno v DKUM: 17.06.2026; Ogledov: 213; Prenosov: 13
Celotno besedilo (2,47 MB) |
17396. |
17397. Location-aware transfer learning for air quality time-series predictionGrega Vrbančič, Jana Janković, Benjamin Petelinek, Vili Podgorelec, Lucija Brezočnik, 2026 Ključne besede: transfer learning, location-aware learning, LSTM, air quality, time-series prediction Objavljeno v DKUM: 17.06.2026; Ogledov: 187; Prenosov: 13
Celotno besedilo (571,00 KB) Gradivo ima več datotek! Več...
|
17398. Application of NMR spectroscopy for studies of self-association and aggregation in protein formulationsMatja Zalar, Jack E. Bramham, Alexander P. Golovanov, 2026 Ključne besede: biopharmaceuticals, protein aggregation, prote, ATPsdelf-association, co-solvents, excipients, NMR Objavljeno v DKUM: 17.06.2026; Ogledov: 172; Prenosov: 8
Celotno besedilo (6,98 MB) |
17399. Artificial Intelligence and Environmental Challenges2026 Ključne besede: artificial intelligence, machine learning, environmental issues, CO2 emissions, PM2.3 particles, risk, failure, renewable energy, wind turbine, solar power plant, edge AI Objavljeno v DKUM: 18.06.2026; Ogledov: 177; Prenosov: 3
Celotno besedilo (9,22 MB) Gradivo ima več datotek! Več...
|
17400. |