COBISS Kooperativni online bibliografski sistem in servisi COBISS

dr. Luka Gradišar [53602]

Osebna bibliografija za obdobje 2017-2024

ČLANKI IN DRUGI SESTAVNI DELI

1.01 Izvirni znanstveni članek

1. GRADIŠAR, Luka, DOLENC, Matevž, KLINC, Robert. Towards machine learned generative design. Automation in construction. [Print ed.]. Mar. 2024, vol. 159, [article no.] 105284, 16 str., ilustr. ISSN 0926-5805. https://www.sciencedirect.com/science/article/pii/S0926580524000207, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1016/j.autcon.2024.105284. [COBISS.SI-ID 180736259]

2. GRADIŠAR, Luka, DOLENC, Matevž. Integrirana metodologija strojnega učenja za analizo slik betonskih razpok = Integrated machine learning methodology for concrete crack image analysis. Gradbeni vestnik : glasilo Zveze društev gradbenih inženirjev in tehnikov Slovenije. [Tiskana izd.]. avg. 2023, letn. 72, str. 186-193, ilustr. ISSN 0017-2774. Digitalna knjižnica Slovenije - dLib.si. [COBISS.SI-ID 157293827]

3. GRADIŠAR, Luka, DOLENC, Matevž. Transfer and unsupervised learning : an integrated approach to concrete crack image analysis. Sustainability. 2023, vol. 15, iss. 4, art. 3653, str. 1-14. ISSN 2071-1050. https://www.mdpi.com/2071-1050/15/4/3653, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.3390/su15043653. [COBISS.SI-ID 142062083]

4. GRADIŠAR, Luka, KLINC, Robert, TURK, Žiga, DOLENC, Matevž. Generative Design Methodology and Framework Exploiting Designer-Algorithm Synergies. Buildings. [Online ed.]. dec. 2022, št. 12, 2194, letn. 12, str. 1-15, ilustr. ISSN 2075-5309. https://www.mdpi.com/2075-5309/12/12/2194, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.3390/buildings12122194. [COBISS.SI-ID 135069443]
projekt: P2-0210 E-Gradbeništvo; financer: ARRS

5. GRADIŠAR, Luka, DOLENC, Matevž. IFC and monitoring database system based on graph data models. Advances in Civil Engineering (Online). dec. 2021, št. članka 4913394, letn. 2021, [9] f., ilustr. ISSN 1687-8094. https://www.hindawi.com/journals/ace/2021/4913394/, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.1155/2021/4913394. [COBISS.SI-ID 90649347]

6. GRADIŠAR, Luka, DOLENC, Matevž, KLINC, Robert, TURK, Žiga. Generativni pristop k učinkovitemu načrtovanju objektov = Generative approach to efficient building design. Gradbeni vestnik : glasilo Zveze društev gradbenih inženirjev in tehnikov Slovenije. [Tiskana izd.]. jan. 2021, letn. 70, str. 2-9, ilustr. ISSN 0017-2774. https://www.zveza-dgits.si/gradbeni-vestnik-jan-2021/, Digitalna knjižnica Slovenije - dLib.si. [COBISS.SI-ID 49632259]

1.08 Objavljeni znanstveni prispevek na konferenci

7. GRADIŠAR, Luka, COPLEY, David, MCGRATH, Adrian, MAROLT ČEBAŠEK, Tina. New Robotic Telescope enclosure concept selection and optimisation. V: MARSHALL, Heather K. (ur.), SPYROMILIO, Jason (ur.), USUDA, Tomonori (ur.). Ground-based and Airborne Telescopes IX : proceedings, SPIE Astronomical telescopes [and] instrumentation, 17-23 July 2022, Montréal, Québec, Canada. [Bellingham]: SPIE, 2022. Str. 21821o-1 - 21821o-11, ilustr. Proceedings of SPIE, Vol. 12182. ISSN 0277-786X. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12182/2629395/New-Robotic-Telescope-enclosure-concept-selection-and-optimisation/10.1117/12.2629395.short, DOI: 10.1117/12.2629395. [COBISS.SI-ID 126971907]

8. RODRÍGUEZ HERNÁNDEZ, José Luis, CORTES PEREZ, Juan Pedro, GRADIŠAR, Luka, FIGUEIREDO, Bruno. Structural Grid Predesign using Generative Design for Residential Building with Steel Structure on BIM Models : Structural grid predesign using generative design. V: STOJAKOVIĆ, Vesna (ur.), TEPAVČEVIĆ, Bojan (ur.). eCAADe 2021 : proceedings the 39th conference on education and research in computer aided architectural design in Europe : hybrid conference 8th-10th September 2021 Novi Sad, Serbia. Vol. 2, Towards a new, configurable architecture : architecture and fabrication in the cognitive age. 1st ed. Brussels: eCAADe; Novi Sad: Faculty of Technical Sciences, cop. 2021. Str. 59-66, ilustr. eCAADe proceedings. ISBN 978-94-91207-23-5, ISBN 978-86-6022-359-5. ISSN 2684-1843. http://ecaade.org/current/wp-content/uploads/2021/08/eCAADe2021_volume2_with_cover.pdf, DOI: 10.52842/conf.ecaade.2021.2.059. [COBISS.SI-ID 127404291]

9. GRADIŠAR, Luka, DOLENC, Matevž, KLINC, Robert, TURK, Žiga. Designing generatively to achieve an efficient and optimised solution. V: ŠAJNA, Aljoša (ur.), et al. Construction materials for a sustainable future : proceedings of the 2nd International Conference CoMS 2020/21 : volume 1. [1st electronic ed.]. Ljubljana: Slovenian National Building and Civil Engineering Institute (ZAG), 2020. Str. 84-95, ilustr. ISBN 978-961-94071-8-9. http://www.zag.si/dl/coms2020-21-proceedings.pdf. [COBISS.SI-ID 54705411]

1.09 Objavljeni strokovni prispevek na konferenci

10. GRADIŠAR, Luka, KLINC, Robert, DOLENC, Matevž. Optimizacija konstrukcije observatorija novega robotskega teleskopa z uporabo strojnega učenja = Optimization of the new robotic telescope observatory using machine learning. V: MOŽE, Primož (ur.), GAMS, Matija (ur.), MALNAR, Danilo (ur.). Zbornik 44. zborovanja gradbenih konstruktorjev Slovenije : 26./27. oktober 2023, Rikli Balance Hotel, Bled. Ljubljana: Slovensko društvo gradbenih konstruktorjev, 2023. Str. 193-200, ilustr. ISBN 978-961-93926-7-6. [COBISS.SI-ID 173060611]

1.12 Objavljeni povzetek znanstvenega prispevka na konferenci

11. GRADIŠAR, Luka, DOLENC, Matevž. Telescope enclosure optimization using machine learned generative design. V: AI in AEC 2023 : Artificial Intelligence in Architecture, Engineering and Construction, virtual conference 2023, March 22-23, 2023. [S.l.; s.n.], 2023. 1 spletni vir. https://aiaec2023.exordo.com/programme/presentation/2. [COBISS.SI-ID 155313411]

12. GRADIŠAR, Luka, DOLENC, Matevž. Telescope enclosure optimization using machine learned generative design. V: IVÁNYI, Peter (ur.). Abstract book for the 18th Miklós Iványi International PhD & DLA Symposium, Hungary, Pécs, 3-4 November 2022 : architectural, engineering and information sciences. Pécs: Pollack Press, 2022. Str. 1, ilustr. ISBN 978-963-429-811-3. https://phdsymp.mik.pte.hu/Attachment/get/portal_article_attachment/312/symp22-final-221105122848.pdf. [COBISS.SI-ID 129996291]

1.22 Intervju

13. HEKIČ, Doron (intervjuvanec), KURENT, Blaž (intervjuvanec), GRADIŠAR, Luka (intervjuvanec), JANEVSKI, Antonio (intervjuvanec). Intervju z doktorskimi študenti UL FGG. Študentski most : revija študentov Fakultete za gradbeništvo in geodezijo v Ljubljani. [Spletna izd.]. jun. 2022, letn. 22, št. 2, str. 16-21, ilustr. ISSN 2630-2810. https://www.fgg.uni-lj.si/wp-content/uploads/2022/06/most_junij_2022_splet.pdf. [COBISS.SI-ID 122601731]

MONOGRAFIJE IN DRUGA ZAKLJUČENA DELA

2.08 Doktorska disertacija

14. GRADIŠAR, Luka. Inteligentni sistemi za presojo znanja informacijskih modelov gradenj : doktorska disertacija = Intelligent systems for knowledge assessment of building information models : doctoral dissertation. Ljubljana: [L. Gradišar], 2024. XX, 108 str., ilustr. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 191031299]

2.09 Magistrsko delo

15. GRADIŠAR, Luka. Priložnosti generativnega pristopa k načrtovanju stavb : magistrsko delo = Generative design opportunities to the building design : master thesis. [Ljubljana]: [L. Gradišar], 2019. XVIII, 51 str., ilustr. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 8886369]

2.11 Diplomsko delo

16. GRADIŠAR, Luka. Uporaba BIM za aplikacije virtualne resničnosti v gradbeništvu : diplomska naloga = Using BIM for virtual reality applications in civil engineering : graduation thesis. Ljubljana: [L. Gradišar], 2017. XII, 26 str., ilustr. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 8201825]

IZVEDENA DELA (DOGODKI)

3.15 Prispevek na konferenci brez natisa

17. GRADIŠAR, Luka, KLINC, Robert, DOLENC, Matevž. Application of machine learned generative design to the optimization of the telescope enclosure : World of Digital Built Environment, WDBE 2022, 29 September 2022, Helsinki, Finska. [COBISS.SI-ID 145616643]

SEKUNDARNO AVTORSTVO

Somentor pri magistrskih delih (bolonjski študij)

18. RADENKOVIĆ, Minja. Exploring the potential of generative design for concept design development in architecture : master thesis No.: 291/II. GR-BIM = Ocena uporabnosti generativnega načrtovanja za razvoj konceptualnih modelov v arhitekturi : [magistrsko delo]. Ljubljana: [M. Radenković], 2023. XIV, 57 str., ilustr. Repozitorij Univerze v Ljubljani – RUL. [COBISS.SI-ID 177239555]