Zobrazeno 1 - 10
of 4 550
pro vyhledávání: '"S, Mayer"'
Autor:
Craig S. Mayer
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background There have been many efforts to expand existing data collection initiatives to include COVID-19 related data. One program that expanded is UK Biobank, a large-scale research and biomedical data collection resource that added sever
Externí odkaz:
https://doaj.org/article/d6692f6407de49b5ac89d552dcb9d8b4
Publikováno v:
Advances in Geosciences, Vol 64, Pp 23-26 (2024)
In groundwater pumping optimization (GPO), offline-trained data-driven surrogates can be used to replace numerical-intensive simulators in order to save computing time. The traditional offline training approach involves building surrogates prior to o
Externí odkaz:
https://doaj.org/article/f43b805f569e4204af7addfbeb7e5ff8
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101925- (2024)
Deep learning is an essential artificial intelligence tool broadly used in engineering, physics, data science, biology, healthcare, agribusiness, finance, and many other areas. Current Python frameworks for deep learning, such as TensorFlow, Keras, P
Externí odkaz:
https://doaj.org/article/d6ece9146d8742b9a3ec5a378a2a323f
Artificial intelligence (AI) has been much in the news recently, with some commentators expressing concern that AI might eventually replace humans. But many developments in AI are designed to enhance and supplement the performance of humans rather th
Autor:
Craig S. Mayer, Paul Fontelo
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundAlcohol consumption has been associated with the occurrence of many health conditions. We analyzed UK Biobank data to explore associations of various conditions to type and amount of alcohol consumed. UK Biobank is a large biomedical databa
Externí odkaz:
https://doaj.org/article/c9b2cdc68534428c8c23524edb2d541c
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 23, Pp 3445-3465 (2023)
Predicting the timing and size of natural snow avalanches is crucial for local and regional decision makers but remains one of the major challenges in avalanche forecasting. So far, forecasts are generally made by human experts interpreting a variety
Externí odkaz:
https://doaj.org/article/de481fc8a2f548bfbd889d1a3d5509dd
Autor:
Alejandro M. S. Mayer, Veronica A. Mayer, Michelle Swanson-Mungerson, Marsha L. Pierce, Abimael D. Rodríguez, Fumiaki Nakamura, Orazio Taglialatela-Scafati
Publikováno v:
Marine Drugs, Vol 22, Iss 7, p 309 (2024)
The current 2019–2021 marine pharmacology literature review provides a continuation of previous reviews covering the period 1998 to 2018. Preclinical marine pharmacology research during 2019–2021 was published by researchers in 42 countries and c
Externí odkaz:
https://doaj.org/article/e267edd2aec140adb53546d36acbdc26
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 513-527 (2023)
The study herein reports on the development and testing of sampling systems (and subsequent analytical setups) that were deployed on an unmanned aerial vehicle (UAV) for the purpose of analysing greenhouse gases (GHGs) and volatile organic compounds
Externí odkaz:
https://doaj.org/article/506501b8af4247849d7b9809a031e7c9
Publikováno v:
The Cryosphere, Vol 16, Pp 4593-4615 (2022)
Modeled snow stratigraphy and instability data are a promising source of information for avalanche forecasting. While instability indices describing the mechanical processes of dry-snow avalanche release have been implemented into snow cover models,
Externí odkaz:
https://doaj.org/article/f8f2fa22056d4e45ad795fdeef21df31
Publikováno v:
Environmental Research Letters, Vol 19, Iss 3, p 034026 (2024)
The increase in heatwave intensity, causing heat stress and crop failures in many regions is a concerning impact of global climate change. In northern Europe, significant interannual variability previously prevented robust assessments of trends in he
Externí odkaz:
https://doaj.org/article/59afd5528de0451898505cc855db5187