Results 161 to 170 of about 2,443 (266)
Rhythms in longitudinal thalamic recordings are linked to seizure risk
Epilepsia, EarlyView.Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang +5 more
wiley +1 more source
Energy Science &Engineering, EarlyView.A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Irrationality and transcendence questions in the 'poor man's adèle ring'. [PDF]
Ramanujan JLuca F, Zudilin W.
europepmc +1 more source
Energy Science &Engineering, EarlyView.A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen +5 more
wiley +1 more source
The MacWilliams Identity for the m-Spotty Weight Enumerators over ZpRk. [PDF]
Entropy (Basel)Wang J, Jiang A, Solé P.
europepmc +1 more source
International Journal for Numerical Methods in Fluids, EarlyView.This work aims to develop a generalised and efficient semi‐analytical method that combines the Laplace decomposition method with Pade approximation (LDMPA) to solve multidimensional nonlinear integro‐partial differential equation. For a one‐dimension case, explicit (closed‐form) solutions for the number density functions are derived for the first time.
Somveer Keshav +4 more
wiley +1 more source
Analogs of the Prime Number Problem in a Shot Noise Suppression of the Soft-Reset Process. [PDF]
Nanomaterials (Basel)Hirose Y.
europepmc +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.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
On the real zeroes of half-integral weight Hecke cusp forms. [PDF]
Math AnnJääsaari J.
europepmc +1 more source
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
Journal of Forecasting, EarlyView.ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
wiley +1 more source