Results 161 to 170 of about 56,202 (281)

Detecting extirpation: A localized approach to a global problem

PLANTS, PEOPLE, PLANET, EarlyView.
The global biodiversity crisis stems from a cascading series of extirpations driving species toward extinction. Addressing this crisis requires methods for early detection of extinction at local scales, where communities can mobilize conservation efforts.
Andrew D. F. Simon, Antranig Basman, R. Adam Martin, Caitlin Robinson, Quentin Cronk   +4 more
wiley   +1 more source

Machine‐learning approaches for characterizing the raindrop size distributions in Western Pacific tropical cyclones

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Long‐term disdrometer observations are utilized to derive Z–R relationships for ‐the Western Pacific tropical cyclones. A hybrid moment‐based approach is employed to determine the interrelationships among pairs of gamma distribution parameters. Enhanced estimates of rainfall rate and slope parameter are obtained using machine‐learning techniques ...
Jayalakshmi Janapati, Balaji Kumar Seela, Spandana Vadloori, Pay‐Liam Lin, Chuan‐Chi Tu, Everette Joseph   +5 more
wiley   +1 more source

Robust learning for ridge-penalized quasi-GLMs under non-identical distributions. [PDF]

Sci Rep
Zhang H, Tian W, Yao Q, Wang P, Zhang B.
europepmc   +1 more source

Windows of opportunity in subseasonal weather regime forecasting: A statistical–dynamical approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study explores how the atmospheric state at initialisation creates windows of opportunity for improving week 3 forecasts of weather regime activity. Greenland blocking activity increases following Madden–Julian Oscillation phases 7, 8, and 1 and weak stratospheric polar vortex states, revealing patterns exploitable by statistical models.
Fabian Mockert, Christian M. Grams, Sebastian Lerch, Julian Quinting   +3 more
wiley   +1 more source

Use of Automation Technologies and Data Mining in Speech Recognition for Autism. [PDF]

Brain Behav
Mao R, Zhu Y.
europepmc   +1 more source

Exceptionally poor and good medium‐range forecasts of the large‐scale circulation over Europe in ERA5 reforecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study investigates year‐round exceptionally poor and good day‐6 forecasts of the 500‐hPa geopotential height field over Europe using 45 years of ERA5 reforecasts and applies a weather regime perspective to analyse large‐scale pattern evolution and regime transitions.
Seraphine Hauser, Steven M. Cavallo, Linus Magnusson, Jonathan E. Martin, David B. Parsons   +4 more
wiley   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Safety and efficacy of limited laser therapy for type I mid-zone II retinopathy of prematurity. [PDF]

BMC Ophthalmol
Safi H, Entezari M, Nikkhah H, Eslamipour J, Yazdani E, Ashrafi S, Ramezani A.   +6 more
europepmc   +1 more source

Bias in Peak Flood Discharges: Are Our Bridges and Culverts Undersized?

River Research and Applications, EarlyView.
ABSTRACT Reliable methods for peak discharge predictions at ungaged locations are required for infrastructure design and floodplain management. For decades, a standard practice in the United States has been to utilize US Geological Survey regional regression equations (StreamStats) as a singular method. However, implementation of multiple methods, such
Steven E. Yochum, Tyler Wible
wiley   +1 more source

Machine learning-based integration of tumor deposit molecular signatures improves prognostic stratification in colon adenocarcinoma. [PDF]

Int J Colorectal Dis
Wu J, Wu J, Zheng Z, Chen S.
europepmc   +1 more source