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Iskalni niz: "polno besedilo" AND "organizacija" (Institut Jožef Stefan) .

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1.
Dynamic computational resource allocation for CFD simulations based on pareto front optimization
Gašper Petelin, Margarita Antoniu, Gregor Papa, 2022, objavljeni znanstveni prispevek na konferenci

Objavljeno v DiRROS: 15.09.2022; Ogledov: 137; Prenosov: 45
.pdf Celotno besedilo (878,54 KB)

2.
Estimating quantitative physiological and morphological tissue parameters of murine tumor models using hyperspectral imaging and optical profilometry
Tadej Tomanič, Luka Rogelj, Jošt Stergar, Boštjan Markelc, Tim Božič, Simona Kranjc Brezar, Gregor Serša, Matija Milanič, 2022, izvirni znanstveni članek

Povzetek: Understanding tumors and their micro-environment are essential for successfuland accurate disease diagnosis. Tissuephysiology and morphology are altered intumors compared to healthy tissues, andthere is a need to monitor tumors and their surrounding tissues, includingblood vessels, non-invasively. This preliminary study utilizes a multimodaloptical imaging system combining hyperspectral imaging (HSI) and three-dimensional (3D) optical profilometry (OP) to capture hyperspectral imagesand surface shapes of subcutaneously grown murine tumor models. Hyper-spectral images are corrected with 3D OP data and analyzed using the inverse-adding doubling (IAD) method to extract tissue properties such as melaninvolume fraction and oxygenation. Blood vessels are segmented using theB-COSFIRE algorithm from oxygenation maps. From 3D OP data, tumor vol-umes are calculated and compared to manual measurements using a verniercaliper. Results show that tumors can be distinguished from healthy tissuebased on most extracted tissue parameters (p<0:05). Furthermore, blood oxy-genation is 50% higher within the blood vessels than in the surrounding tissue,and tumor volumes calculated using 3D OP agree within 26% with manualmeasurements using a vernier caliper. Results suggest that combining HSI andOP could provide relevant quantitative information about tumors and improvethe disease diagnosis.
Ključne besede: medical physics, hyperspectral imaging, diffuse reflectance spectroscopy, blood vessels, tumors
Objavljeno v DiRROS: 08.09.2022; Ogledov: 135; Prenosov: 49
.pdf Celotno besedilo (3,79 MB)

3.
Using well-understood single-objective functions in multiobjective black-box optimization test suites
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tušar, 2021, izvirni znanstveni članek

Objavljeno v DiRROS: 01.08.2022; Ogledov: 198; Prenosov: 113
.pdf Celotno besedilo (9,74 MB)
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Electric-bus routes in hilly urban areas : overview and challenges
Gregor Papa, Marina Santo-Zarnik, Vida Vukašinović, 2022, izvirni znanstveni članek

Objavljeno v DiRROS: 27.05.2022; Ogledov: 268; Prenosov: 116
.pdf Celotno besedilo (14,45 MB)

6.
Elevator group control as a constrained multiobjective optimization problem
Aljoša Vodopija, Jörg Stork, Thomas Bartz-Beielstein, Bogdan Filipič, 2022, izvirni znanstveni članek

Objavljeno v DiRROS: 03.01.2022; Ogledov: 482; Prenosov: 211
.pdf Celotno besedilo (722,16 KB)

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Solving pessimistic bilevel optimization problems with evolutionary algorithms
Margarita Antoniou, Gregor Papa, 2021, objavljeni znanstveni prispevek na konferenci

Objavljeno v DiRROS: 22.09.2021; Ogledov: 697; Prenosov: 230
.pdf Celotno besedilo (318,67 KB)

9.
Preferred solutions of the ground station scheduling problem using NSGA-III weighted reference points selection
Margarita Antoniou, Gašper Petelin, Gregor Papa, 2021, objavljeni znanstveni prispevek na konferenci

Objavljeno v DiRROS: 22.09.2021; Ogledov: 687; Prenosov: 196
.pdf Celotno besedilo (4,10 MB)

10.
Differential evolution with estimation of distribution for worst-case scenario optimization
Margarita Antoniou, Gregor Papa, 2021, izvirni znanstveni članek

Objavljeno v DiRROS: 22.09.2021; Ogledov: 690; Prenosov: 251
.pdf Celotno besedilo (1,05 MB)

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