Results 81 to 90 of about 787,408 (245)

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

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

Other title: House Bill 2116 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel

, 2009
application/pdf; "February 2, 2009."; Testimony before the Kansas Legislature, House Utilities Committee, presented by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board.Testimony regarding House Bill 2116.
Springe, David.
core   +1 more source

Cost-effectiveness analysis of alectinib versus crizotinib in first-line treatment of anaplastic lymphoma kinase-positive advanced non-small cell lung cancer

Global & Regional Health Technology Assessment, 2019
In the randomized, active-controlled, multicenter Phase III open-label ALEX trial, alectinib showed superior efficacy and lower toxicity compared with crizotinib in the primary treatment of anaplastic lymphoma kinase-positive non-small cell lung cancer ...
Ravasio R, Tiseo M, Pradelli L, Bellone M, Gervasi A, Coffani M   +5 more
doaj   +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

Other title: Senate Bill 515 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board

, 2008
application/pdf; "February 6, 2008."; Includes a copy of testimony on House Bill 2682 presented before the Kansas Legislature, House Utilities Committee, by David Springe, Consumer Counsel, Citizens' Utility Ratepayer Board on January 31, 2008.;
Springe, David.
core   +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source

Other title: House Bill 2043 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel; Other title: House Bill 2051 - Testimony on Behalf of the Citizens' Utility Ratepayer Board by David Springe, Consumer Counsel

, 2009
application/pdf; "January 29, 2009."; Includes the exact same testimony which was presented to the House Utilities Committee by David Springe, Consumer Counsel, also on January 29, 2009, concerning House Bill 2051.; Testimony before the Kansas ...
Springe, David.
core   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 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