Oznaka: machine learning

Diffenbaugh & Barnes (2023) Data-driven predictions of the time remaining until critical global warming thresholds are reached. PNAS 120(6), e2207183120

30. januarja, 2023
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| Revija/članki - Journal/Articles

Diffenbaugh NS & Barnes EA (2023) Data-driven predictions of the time remaining until critical global warming thresholds are reached. PNAS 120(6), e2207183120, https://doi.org/10.1073/pnas.2207183120 – Open access pdf Abstract (prevod): S pomočjo umetnih nevronskih mrež (ANN), usposobljenih na rezultatih podnebnih modelov, uporabljamo prostorski vzorec preteklih temperaturnih opazovanj za napovedovanje časa, v katerem bodo doseženi kritični pragovi […]

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Posted in <a href="https://sustainability.unesco-floods.eu/category/revije-journals/" rel="category tag">Revija/članki - Journal/Articles</a> Tagged <a href="https://sustainability.unesco-floods.eu/tag/ai-for-climate/" rel="tag">AI for climate</a>, <a href="https://sustainability.unesco-floods.eu/tag/earth/" rel="tag">Earth</a>, <a href="https://sustainability.unesco-floods.eu/tag/global-warming/" rel="tag">global warming</a>, <a href="https://sustainability.unesco-floods.eu/tag/machine-learning/" rel="tag">machine learning</a>, <a href="https://sustainability.unesco-floods.eu/tag/paris-agreement/" rel="tag">Paris Agreement</a>

Sibalija T & Davim JP (Eds.) (2021) Soft Computing in Smart Manufacturing – Solutions toward Industry 5.0

6. decembra, 2021
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Sibalija T & Davim JP (Eds.) (2021) Soft Computing in Smart Manufacturing – Solutions toward Industry 5.0. Berlin/Boston: Walter de Gruyter, Advanced Mechanical Engineering, Vol 8, 277p. – https://doi.org/10.1515/9783110693225 – NUK access document pdf About the book (prevod): Namen te knjige je obravnavati izzive sodobne proizvodnje v okolju industrije 4.0 in proizvodnje prihodnosti (t. i. […]

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Posted in <a href="https://sustainability.unesco-floods.eu/category/knjizni-viri/" rel="category tag">Knjižni viri - Book sources</a> Tagged <a href="https://sustainability.unesco-floods.eu/tag/cyber-security/" rel="tag">cyber security</a>, <a href="https://sustainability.unesco-floods.eu/tag/digital-twins/" rel="tag">digital twins</a>, <a href="https://sustainability.unesco-floods.eu/tag/digitalni-dvojcki/" rel="tag">digitalni dvojčki</a>, <a href="https://sustainability.unesco-floods.eu/tag/industry-4-0/" rel="tag">industry 4.0</a>, <a href="https://sustainability.unesco-floods.eu/tag/industry-5-0/" rel="tag">industry 5.0</a>, <a href="https://sustainability.unesco-floods.eu/tag/internet-of-things/" rel="tag">Internet of Things</a>, <a href="https://sustainability.unesco-floods.eu/tag/machine-learning/" rel="tag">machine learning</a>, <a href="https://sustainability.unesco-floods.eu/tag/mechanical-engineering/" rel="tag">mechanical engineering</a>, <a href="https://sustainability.unesco-floods.eu/tag/mehko-racunalnistvo/" rel="tag">mehko računalništvo</a>, <a href="https://sustainability.unesco-floods.eu/tag/smart-manufacturing/" rel="tag">smart manufacturing</a>, <a href="https://sustainability.unesco-floods.eu/tag/soft-computing/" rel="tag">soft computing</a>, <a href="https://sustainability.unesco-floods.eu/tag/strojno-ucenje/" rel="tag">strojno učenje</a>

Umetna inteligenca in strojno učenje. Nature Communications Collection

26. januarja, 2021
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Računalniški napredek na področju umetne inteligence (angl. artificial inteligence – AI) in strojnega učenja (angl. machine learning) je omogočil uvedbo vse bolj zapletenih modelov, ki se zdaj uporabljajo na številnih področjih. Namen te zbirke odprto dostopnih člankov iz revije Nature Communications je zagotoviti pregled trenutnih orodij in izzivov, ki trenutno obetajo, da bodo na več […]

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Posted in <a href="https://sustainability.unesco-floods.eu/category/revije-journals/" rel="category tag">Revija/članki - Journal/Articles</a> Tagged <a href="https://sustainability.unesco-floods.eu/tag/artificial-intelligence/" rel="tag">artificial intelligence</a>, <a href="https://sustainability.unesco-floods.eu/tag/machine-learning/" rel="tag">machine learning</a>

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