Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Lynn H Kaack"'
Autor:
Guillaume Chevance, Mark Nieuwenhuijsen, Kaue Braga, Kelly Clifton, Suzanne Hoadley, Lynn H Kaack, Silke K Kaiser, Marcelo Lampkowski, Iuliana Lupu, Miklós Radics, Daniel Velázquez-Cortés, Sarah Williams, James Woodcock, Cathryn Tonne
Publikováno v:
Environmental Research Letters, Vol 19, Iss 5, p 051002 (2024)
Externí odkaz:
https://doaj.org/article/6c3a2ff4f06f48d184d62b579bed60c2
Autor:
Nikola Milojevic-Dupont, Nicolai Hans, Lynn H Kaack, Marius Zumwald, François Andrieux, Daniel de Barros Soares, Steffen Lohrey, Peter-Paul Pichler, Felix Creutzig
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0242010 (2020)
Understanding cities as complex systems, sustainable urban planning depends on reliable high-resolution data, for example of the building stock to upscale region-wide retrofit policies. For some cities and regions, these data exist in detailed 3D mod
Externí odkaz:
https://doaj.org/article/c4895743632048c0b0cf5715b54d79d3
Publikováno v:
Environmental Research Letters, Vol 13, Iss 8, p 083001 (2018)
Road freight transportation accounts for around 7% of total world energy-related carbon dioxide emissions. With the appropriate incentives, energy savings and emissions reductions can be achieved by shifting freight to rail or water modes, both of wh
Externí odkaz:
https://doaj.org/article/8cfb650a59024ce59bd57c90af43323a
Autor:
Nikola Milojevic-Dupont, Felix Wagner, Florian Nachtigall, Jiawei Hu, Geza Boi Brüser, Marius Zumwald, Filip Biljecki, Niko Heeren, Lynn H. Kaack, Peter-Paul Pichler, Felix Creutzig
Publikováno v:
Scientific Data. 10
Autor:
Nikola Milojevic-Dupont, Felix Wagner, Florian Nachtigall, Jiawei Hu, Geza Boi Brüser, Marius Zumwald, Filip Biljecki, Niko Heeren, Lynn H. Kaack, Peter-Paul Pichler, Felix Creutzig
Publikováno v:
Scientific Data, 10 (1)
Building stock management is becoming a global societal and political issue, inter alia because of growing sustainability concerns. Comprehensive and openly accessible building stock data can enable impactful research exploring the most effective pol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f4871025d335e2366fe61a1585d7cb3
Autor:
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio
Publikováno v:
ACM Computing Surveys, 55 (2)
Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb10b76553baaecc5fc171c55af079a3
Autor:
Dipti Srinivasan, Susanne Köhler, Artur Gil, Panayiota J. Alevizou, Pia Johanna Schweizer, Ruby Appiah-Campbell, David Rolnick, Lucia A. Reisch, Lucas Joppa, Peter Howson, Lynn H. Kaack, Priya L. Donti, Massimo Pizzol, Tilman Santarius, Nina Michaelidou
Publikováno v:
Reisch, L A, Joppa, L, Howson, P, Gil, A, Alevizou, P, Michaelidou, N, Appiah-Campbell, R, Santarius, T, Köhler, S, Pizzol, M, Schweizer, P J, Srinivasan, D, Kaack, L H, Donti, P L & Rolnick, D 2021, ' Digitizing a sustainable future ', One Earth, vol. 4, no. 6, pp. 768-771 . https://doi.org/10.1016/j.oneear.2021.05.012
Digital technologies have a crucial role in facilitating transitions toward a sustainable future. Yet there remain challenges to overcome and pitfalls to avoid. This Voices asks: how do we leverage the digital transformation to successfully support a
Assessing and shaping the effects of artificial intelligence (AI) and machine learning (ML) on climate change mitigation demands a concerted effort across research, policy, and industry. However, there is great uncertainty regarding how ML may affect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd7fa26b776080c6bcf48c0644c4ebe7
https://hal.archives-ouvertes.fr/hal-03368037
https://hal.archives-ouvertes.fr/hal-03368037
Autor:
Lynn H. Kaack
Publikováno v:
Nature. 598:567-568
An inventory of the world’s solar-panel installations has been produced with the help of machine learning, revealing many more than had previously been recorded. The results will inform efforts to meet global targets for solar-energy use. An invent
Publikováno v:
COMPASS
Proceedings of the Conference on Computing & Sustainable Societies-COMPASS 19
Proceedings of the Conference on Computing & Sustainable Societies-COMPASS 19
The road freight sector is responsible for a large and growing share of greenhouse gas emissions, but reliable data on the amount of freight that is moved on roads in many parts of the world are scarce. Many low- and middle-income countries have limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::850d0ab75cfbd5399b703a8a9ae8415c
http://arxiv.org/abs/1907.07660
http://arxiv.org/abs/1907.07660