Results 181 to 190 of about 212,585 (307)
Biologically informed cortical models predict optogenetic perturbations. [PDF]
Sourmpis C +3 more
europepmc +1 more source
Ensemble Kalman filter in latent space using a variational autoencoder pair
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans +4 more
wiley +1 more source
From prediction to sustainability: AI for smart energy management in wastewater treatment plants. [PDF]
Alsamhi SH +8 more
europepmc +1 more source
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo +6 more
wiley +1 more source
Use of machine learning models to predict mechanical ventilation, ECMO, and mortality in COVID-19. [PDF]
Moorman N +3 more
europepmc +1 more source
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
On the recurrent neural network model with robust expectile-based loss function in economic data forecasting. [PDF]
Saputra WH, Nariswari R, Owen M.
europepmc +1 more source
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi +3 more
wiley +1 more source
Comparative study of single and hybrid deep learning models for daily rainfall prediction in selected African cities. [PDF]
Samson TK, Aweda FO.
europepmc +1 more source
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

