Results 201 to 210 of about 80,323 (233)

Leveraging machine learning and citizen science data to describe flowering phenology across South Africa

PLANTS, PEOPLE, PLANET, EarlyView.
Recent shifts in flowering times are an index of, and a response to, human driven climate change. However, most information on these flowering changes is heavily skewed to the northern hemisphere. This imbalance limits our understanding of how climate change is affecting ecosystems, including the mismatches of flowering times between species, increased
Ross D. Stewart, Nicholas W. Bard, Michelle van der Bank, T. Jonathan Davies   +3 more
wiley   +1 more source

High performance GPU implementation of KNN algorithm: A review. [PDF]

MethodsX
Bidye P, Borkar P, Rakesh N.
europepmc   +1 more source

Animating blossom: Time‐lapse to encourage plant awareness in the YouTube era

PLANTS, PEOPLE, PLANET, EarlyView.
Time‐lapse videos can effectively capture key traits of flower blossoms, such as color, 3D structure, and temporal changes, making them valuable complements to herbarium specimens and other botanical collections. Despite the abundance of such videos on YouTube, most provide no ecological and botanical insights.
Tae Kyung Yoon
wiley   +1 more source

Bayesian continual learning and forgetting in neural networks. [PDF]

Nat Commun
Bonnet D, Cottart K, Hirtzlin T, Januel T, Dalgaty T, Vianello E, Querlioz D.   +6 more
europepmc   +1 more source

Characteristics of diabatically influenced cyclones with high wind damage potential in Europe

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Diabatic processes contribute, on average, 26% to the intensification of European winter storms, with diabatically driven cyclones exhibiting steeper deepening rates, stronger wind gusts, and increased precipitation. These storms are linked to enhanced warm conveyor belt (WCB) activity and develop in a warmer environment with elevated lower ...
Svenja Christ, Julian Quinting, Joaquim G. Pinto   +2 more
wiley   +1 more source

Explainable AI-driven customer churn prediction: a multi-model ensemble approach with SHAP-based feature analysis. [PDF]

Front Artif Intell
El Attar A, El-Hajj M.
europepmc   +1 more source

Thermodynamic and microphysical properties of summertime marine fog observed from Sable Island

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Atmospheric profiling and near‐surface fog and visibility measurements revealed synoptic‐scale forcing as the dominant factor in fog formation over Sable Island, with deep fog layers under low‐pressure systems and shallow fog layers under high‐pressure systems.
Kelsey Rowe, Jesus Ruiz‐Plancarte, Ryan Yamaguchi, David Ortiz‐Suslow, Eric Pardyjak, Ismail Gultepe, Harindra J. S. Fernando, Qing Wang   +7 more
wiley   +1 more source

AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson's disease for the development of neuronal fingerprints using artificial intelligence. [PDF]

BMJ Open
Stam MJ, de Neeling MGJ, Keulen BJ, Hubers D, de Bie RMA, Schuurman R, Buijink AWG, van Wijk BCM, Beudel M.   +8 more
europepmc   +1 more source

Why are we awake? Algorithmic serendipity and the sociology of sleeplessness. [PDF]

Front Sociol
Bo B, O'Sullivan A, Bariol E, Kucherenko N, Behan M.   +4 more
europepmc   +1 more source

Neural architecture search using network embedding and generative adversarial networks. [PDF]

Sci Rep
Yousefi M, Mehrdad V, Dowlatshahi MB.
europepmc   +1 more source