Results 171 to 180 of about 9,580 (220)
Blind identification of state transitions and latent neural dynamics from electrophysiological recordings. [PDF]
Schwamb AL, Yu Z, Ching S.
europepmc +1 more source
Optimal Control of Mobile Energy Storage via Knowledge‐Guided Deep Reinforcement Learning
This research proposes a Knowledge‐Guided DRL framework (KA‐DDPG) for mobile energy storage. By integrating offline optimization as expert guidance to manage hybrid action spaces and environmental uncertainties, our method achieves significantly higher arbitrage profits and superior operational stability compared to standard reinforcement learning and ...
Xinlei Cai +7 more
wiley +1 more source
Dynamic mechanism for subtype selectivity of endocannabinoids. [PDF]
Dutta S, Zhao L, Shukla D.
europepmc +1 more source
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Energy transfer leaves fingerprints in cyanine photoswitching behavior. [PDF]
Ebert V, Sauer M, Doose S.
europepmc +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Event-Driven Spiking Neural Networks for Private Vehicle Parking Prediction. [PDF]
Long W, Chen J.
europepmc +1 more source
ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp +3 more
wiley +1 more source
Neural parameter calibration for dengue outbreak forecasting. [PDF]
Pham HV +3 more
europepmc +1 more source

