Results 161 to 170 of about 3,587 (212)

Robust Path Planning via Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Kang D, Park J, Kim P.
europepmc   +1 more source

Unlocking the Multifunctional Properties of Litsea cubeba Essential Oil: Composition, Antimicrobial, Antibiofilm and Insecticidal Activities

Flavour and Fragrance Journal, EarlyView.
Unveiling the chemical and biological properties of Litsea cubeba essential oil. ABSTRACT Litsea cubeba essential oil (LCEO) is recognised for its broad spectrum of biological activities, including antimicrobial and insecticidal effects, making it a promising natural alternative to synthetic agents.
Miroslava Kačániová, Minhang Qiao, Alessandro Bianchi, Joel Horacio Elizondo‐Luevano, Anis Ben Hsouna, Rania Ben Saad, Zhaojun Ban, Li Li, Jian Lou, Wissem Mnif, Stefania Garzoli   +10 more
wiley   +1 more source

Distributional Sectional Curvature Bounds for Riemannian Metrics of Low Regularity. [PDF]

J Geom Anal
Erös D, Kunzinger M, Ohanyan A, Vardabasso A.   +3 more
europepmc   +1 more source

Coherent Forecasting of Realized Volatility

Journal of Forecasting, Volume 45, Issue 4, Page 1714-1729, July 2026.
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley   +1 more source

Multi-objective trajectory optimization method for industrial robots based on improved TD3 algorithm. [PDF]

Sci Rep
Xu Y, Kong S, Kong X, Ying Z.
europepmc   +1 more source

DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning

Journal of Forecasting, EarlyView.
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley   +1 more source

Topology-Informed Quasi-Static Motion Planning for Continuum Robots with Contacts. [PDF]

IEEE Robot Autom Lett
Wang Y, Chen Y.
europepmc   +1 more source

The Role of Coincident Information in Real‐Time Business Cycle Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Official NBER recession dates are announced with substantial delay. Therefore, real‐time forecasters cannot condition on the most recent business cycle states even though recessions and expansions are highly persistent. I study whether real‐time coincident releases can substitute for this missing information. At each monthly forecast origin, I
Visa Kuntze
wiley   +1 more source

Connectome embedding in multidimensional graph spaces. [PDF]

Netw Neurosci
Mach M, Amico E, Liégeois R, Preti MG, Griffa A, Van De Ville D, Pedersen M.   +6 more
europepmc   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source