Results 91 to 100 of about 29,472 (264)

Discounting in Time

Electronic Notes in Theoretical Computer Science, 2009
AbstractThis paper deals with the issue of discounting in weighted timed transition systems. Discounting provides a way to model optimal-cost problems for infinite runs and has applications in optimal scheduling and other areas.We show that when postulating a certain natural additivity property for the discounted weights of runs, there is essentially ...
Ulrich Fahrenberg, Kim Guldstrand Larsen
openaire   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Borylcyclopropanes: Synthetic Strategies and Applications

Angewandte Chemie, EarlyView.
Borylcyclopropanes (cyclopropanes bearing a boron substituent) sit at the intersection of two privileged frameworks in synthesis. This review provides the first exhaustive survey of their chemistry, spanning metal–carbene, nucleophilic cyclization, radical, hydroboration, and C─H activation routes, and documenting applications in medicinal chemistry ...
Aiza A. Butt, Joseph M. Ready
wiley   +2 more sources

Gamification and motivation: Impact on delay discounting performance.

PLoS ONE
Delay discounting is a phenomenon strongly associated with impulsivity. However, in order for a measured discounting rate in an experiment to meaningfully generalize to choices made elsewhere in life, participants must provide thoughtful, engaged answers
Sophie Harvey, Greg Jensen, Kristen G Anderson   +2 more
doaj   +1 more source

The arithmetic of discounting [PDF]

Journal of the Experimental Analysis of Behavior, 2014
Most current models of delay discounting multiply the nominal value of a good whose receipt is delayed, by a discount factor that is some function of that delay. This article reviews the logic of a theory that discounts the utility of delayed goods by adding the utility of the good to the disutility of the delay.
openaire   +3 more sources

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

The Design of Discounting Investment Fund Conforming with Shi'a Jurisprudence [PDF]

تحقیقات مالی اسلامی (پیوسته), 2018
Financing businesses has always been a major concern for entrepreneurs and governments. In the recession, firms cannot usually receive their claims in cash, and the firms’ liquidity problems could lead to the suspension and reduction of employment and ...
Sayyed Mohammad Ali Torabi, Reza Yarmohammadi, Sayyed Abbas Mousavian   +2 more
doaj  

Digital Twins for the Design, Interactive Control, and Deployment of Modular, Fiber‐Reinforced Soft Continuum Arms

Advanced Intelligent Systems, EarlyView.
A digital twin framework is presented for modular soft continuum arms built from fiber‐reinforced pneumatic actuators. Cosserat rod models describe individual actuators, while virtual assemblies are formed through serial and parallel networks, preserving actuator‐level architecture and arm deformation.
Seung Hyun Kim, Jiamiao Guo, Arman Tekinalp, Heng‐Sheng Chang, Ugur Akcal, Tixian Wang, Darren Biskup, Benjamin Walt, Girish Chowdhary, Girish Krishnan, Prashant G. Mehta, Mattia Gazzola   +11 more
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Lost ground, lost value: Investigating the relationship between soil erosion and agricultural land value

American Journal of Agricultural Economics, EarlyView.
Abstract This study examines the impact of soil erosion on agricultural land values in the United States (US) Midwest. Based on a novel county‐level panel data set with information on soil erosion levels and agricultural land values covering five census years (1997, 2002, 2007, 2012, and 2017), we separately investigate the direct effect of two types ...
Le Chen, Roderick M. Rejesus, Hongqiang Yan, Serkan Aglasan   +3 more
wiley   +1 more source