Results 171 to 180 of about 361,038 (279)
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
A conjecture of Warnaar-Zudilin from deformations of lie superalgebras. [PDF]
Res Math SciCreutzig T, Garner N.
europepmc +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
Metasurfaces and Metadevices for Topological Electromagnetic Waves
Advanced Physics Research, EarlyView.Optical topologies refer to diverse topological localized structures made by diverse parameters of light fields, such as vortices, skyrmions, and hopfions. This article navigates a direction of metasurface‐based integrated devices for generation, manipulation and detection of novel topologies of light, which would be a rapidly growing interdisciplinary
Rensheng Xie +3 more
wiley +1 more source
Real-Time Non-Uniformity Correction Method for 800 FPS High-Frame-Rate Short-Wave Infrared Images. [PDF]
Sensors (Basel)Su G, Wang Y, He D.
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
Advanced Physics Research, EarlyView.A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
Investigation of Printed Slot Antenna for Non-Invasive Glucose Sensing Using FR4 Substrate Material. [PDF]
Micromachines (Basel)Mezaal YS.
europepmc +1 more source
Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges
Biotechnology and Bioengineering, EarlyView.ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz +3 more
wiley +1 more source
Funding Costs and Liquidity Creation: Does ESG Play Any Role?
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines how banks' funding costs affect liquidity creation and whether environmental, social, and governance (ESG) performance shapes this relationship. Using panel data for 136 U.S. commercial banks from 2005 to 2022, we show that higher funding costs are associated with lower liquidity creation, indicating that more expensive ...
Sattam Bin Kowibeen +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Firms are increasingly looking into carbon dioxide removal (CDR), a set of options to take past emissions of greenhouse gases out of the atmosphere. Often two basic categories of CDR are distinguished: nature‐based solutions, such as planting trees or restoring wetlands, and technology‐based solutions, such as various forms of carbon capture ...
Sabrina Mili +3 more
wiley +1 more source