Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
A novel interval prediction method in wind speed based on deep learning and combination prediction. [PDF]
Chen X, Han T, Cheng P, Da X.
europepmc +1 more source
Reliable abundance estimates provide essential information in ecology, conservation and management of many wild grouse populations. In this 3‐year study, we comparatively evaluate the suitability of traditional line transect distance sampling of flushed birds versus a spatial capture–recapture survey with noninvasive DNA samples for individual ...
Henrik Brøseth +2 more
wiley +1 more source
Dual-graph knowledge distillation for few-shot class-incremental microorganism recognition. [PDF]
Xu S, Hu Y, Zhang Y, Chen L, Yin Y.
europepmc +1 more source
Species respond to climate change through phenological and spatial shifts. Herbivorous mammals, in particular, are vulnerable due to their direct dependence on seasonal vegetation and the potential misalignment between their reproductive cycles and shifting food availability.
Farid Salmanpour +5 more
wiley +1 more source
Climate predictors of child undernutrition: Insights from a machine learning model. [PDF]
Essiam FAAP +5 more
europepmc +1 more source
Annual survival in a dynamic species: pronghorn survival patterns across their northern range
Quantifying variation in demographic patterns, such as survival and recruitment, is critical for understanding population dynamics and informing evidence‐based and adaptive wildlife management. In this study, we leverage an extensive dataset from over 1000 GPS collared pronghorn Antilocapra americana to provide the first large‐scale evaluation of ...
Molly C. McDevitt +5 more
wiley +1 more source
Performance and generalizability impacts of incorporating location encoders into deep learning for dynamic PM<sub>2.5</sub> estimation. [PDF]
Karimzadeh M, Wang Z, Crooks JL.
europepmc +1 more source
Experimental assessment of large mammal population estimates from airborne thermal videography
Wildlife resource management requires reliable, fast, and affordable methods of surveying wildlife populations to develop and adaptively adjust policies. Thermal video from drones can yield high rates of detection over large areas with relative speed and safety.
Julia S. McElhinny +7 more
wiley +1 more source
Evaluation of radar-based precipitation estimates during a flood event using rain gauge validation. [PDF]
Dzwonkowski K +3 more
europepmc +1 more source

