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Št. zadetkov: 10
Okolje Orange4WS za servisno orientirano rudarjenje podatkov
Vid Podpečan
Video in druga učna gradiva
Oznake: technology
Leto: 2013 Vir: videolectures.net
Robot, ki sliši in govori
Vid Podpečan
Video in druga učna gradiva
Oznake: computer science;robotics;artificial intelligence
Leto: 2015 Vir: videolectures.net
Modeli hiperbolične geometrije in njihova vizualizacija
Katja Albreht, Andrej Bauer, Vid Podpečan
Magistrsko delo
Oznake: geometrija;hiperbolična geometrija;3D model;vizualizacija;
Magistrsko delo v prvem delu vsebuje predstavitev osnovnih lastnosti hiperbolične geometrije. Predstavljeni so vsi trije njeni glavni modeli in osnovne geometrijske značilnosti posameznega modela. Delo obravnava tudi vrste tlakovanj, nato pa na kratko povzema tlakovanje Poincaréjevega diska in opisu ...
Leto: 2023 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Integracija vidnega zaznavanja in koordiancije gibov robota pri igranju igre Križci-krožci
ANA GAJA BOC, Danijel Skočaj, Vid Podpečan
Diplomsko delo
Oznake: robotika;inverzna kinematika;vidno zaznavanje;teorija iger;
Diplomska naloga obravnava problem programiranja robota NAO za igranje igre Križci-Krožci. Pri tej igri igralca izmenično označujeta prazna polja na mreži s tremi stolpci in tremi vrsticami. Zmaga tisti, ki mu uspe prvemu postaviti tri znake v vrsto. Če se zapolnijo vsa polja in to ne uspe nikomur, ...
Leto: 2019 Vir: Fakulteta za elektrotehniko (UL FE)
Anisotropic reflectance model for predictive rendering of FDM prints
Ana Gaja Boc, Matija Marolt, Tobias Rittig, Vid Podpečan
Magistrsko delo
Oznake: light transport simulation;appearance fabrication;3D printing;reflectance modeling;computer science;master's thesis;
Ray tracing is a fundamental rendering technique that simulates the interaction of light with 3D scenes to generate photorealistic images. Rendering speed is intricately linked to the intricacy of the scene and the properties of the materials. This challenge is particularly pronounced when rendering ...
Leto: 2023 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Interactive exploration of heterogeneous biological networks with Biomine Explorer
Vid Podpečan, Živa Ramšak, Kristina Gruden, Hannu Toivonen, Nada Lavrač
Izvirni znanstveni članek
Oznake: biological networks;bioinformatic;
Biomine Explorer is a web application that enables interactive exploration of large heterogeneous biological networks constructed from selected publicly available biological knowledge sources. It is built on top of Biomine, a system which integrates cross-references from several biological databases ...
Leto: 2019 Vir: Nacionalni inštitut za biologijo (NIB)
Explainable machine learning for predicting diarrhetic shellfish poisoning events in the Adriatic Sea using long-term monitoring data
Martin Marzidovšek, Janja Francé, Vid Podpečan, Stanka Grebenc, Jožica Dolenc, Patricija Mozetič
Izvirni znanstveni članek
Oznake: Harmful algal blooms;DSP toxins;Machine learning;Explainable artificial intelligence;Aquaculture;Marine ecology;Adriatic Sea;
In this study, explainable machine learning techniques are applied to predict the toxicity of mussels in the Gulf of Trieste (Adriatic Sea) caused by harmful algal blooms. By analysing a newly created 28-year dataset containing records of toxic phytoplankton in mussel farming areas and diarrhetic sh ...
Leto: 2024 Vir: Veterinarska fakulteta (UL VF)
Stress knowledge map
Carissa Bleker, Živa Ramšak, Andras Bittner, Vid Podpečan, Maja Zagorščak, Bernhard Wurzinger, Špela Baebler, Marko Petek, Maja Križnik, Anže Županič, Kristina Gruden
Izvirni znanstveni članek
Oznake: SKM;graf znanja;mreža znanja;vstopna točka;digitalni dvojček rastline;odzivi rastlin na stres;signalizacija rastlin;sistemska biologija;Stress knowledge map;knowledge graph;knowledge network;entry point;plant digital twin;plant stress responses;plant signaling;systems biology;
Stress Knowledge Map (SKM; https://skm.nib.si) is a publicly available resource containing two complementary knowledge graphs that describe the current knowledge of biochemical, signaling, and regulatory molecular interactions in plants: a highly curated model of plant stress signaling (PSS; 543 rea ...
Leto: 2024 Vir: Nacionalni inštitut za biologijo (NIB)
SegMine workflows for semantic microarray data analysis in Orange4WS
Vid Podpečan, Nada Lavrač, Igor Mozetič, Petra Kralj Novak, Igor Trajkovski, Laura Langohr, Kimmo Kulovesi, Hannu Toivonen, Marko Petek, Helena Motaln, Kristina Gruden
Izvirni znanstveni članek
Oznake:
Background In experimental data analysis, bioinformatics researchers increasingly rely on tools that enable the composition and reuse of scientific workflows. The utility of current bioinformatics workflow environments can be significantly increased by offering advanced data mining services as work ...
Leto: 2011 Vir: Institut Jožef Stefan (IJS)
Analysis of glioblastoma patients' plasma revealed the presence of microRNAs with a prognostic impact on survival and those of viral origin
Ana Herman, Kristina Gruden, Andrej Blejec, Vid Podpečan, Helena Motaln, Primož Rožman, Matjaž Hren, Klemen Zupančič, Matija Veber, Urška Verbovšek, Tamara Lah Turnšek, Andrej Porčnik, Marjan Koršič, Miomir Knežević, Matjaž Jeras
Izvirni znanstveni članek
Oznake: microRNAs;glioblastoma multiforme;biomarkers;RNA extraction;viral disease diagnosis;
Background Glioblastoma multiforme (GBM) is among the most aggressive cancers with a poor prognosis in spite of a plethora of established diagnostic and prognostic biomarkers and treatment modalities. Therefore, the current goal is the detection of novel biomarkers, possibly detectable in the blood ...
Leto: 2015 Vir: Nacionalni inštitut za biologijo (NIB)
Št. zadetkov: 10
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