Results 71 to 80 of about 13,265,536 (249)

Vertical Price Transmission in Food Markets: New Evidence From Meta‐Analysis

Agribusiness, EarlyView.
ABSTRACT A growing body of empirical research has examined price dynamics along the food supply chain, yet findings remain heterogeneous and often conflicting. This study conducts a meta‐analysis of 140 studies, totaling 652 observations, to examine (1) the reported presence of asymmetric price transmission and (2) the reported direction of price ...
Sushan K C, Xiaoli Etienne, Andres Trujillo‐Barrera   +2 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Optimal Security Task Offloading in Cognitive IoT Networks: Provably Optimal Threshold Policies and Model-Free Learning

IoT
The proliferation of Internet of Things (IoT) devices has introduced significant security challenges. Resource-constrained devices face sophisticated threats but lack the computational capacity for advanced security analysis.
Ning Wang, Yali Ren
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

Robust Markov Decision Processes [PDF]

Markov decision processes (MDPs) are powerful tools for decision making in uncertain dynamic environments. However, the solutions of MDPs are of limited practical use due to their sensitivity to distributional model parameters, which are typically ...
Berç Rustem, Wolfram Wiesemann, Daniel Kuhn   +2 more
core  

Jumping Threshold-Based Dynamic Event-Triggered Self-Learning Control for IT-2 Fuzzy Semi-Markov Model Under Attack Detection and Mitigation

IEEE Access
This article investigates the optimal control synthesis for a class of semi-Markov jump systems subjected to external disturbances, by integrating advanced event triggered communication and resilient attack mitigation strategies.
P. K. Karan, Karthick Arumugam, Yong-Ki Ma   +2 more
doaj   +1 more source

Stochastic QoE-Aware Optimization in Cloud-Based Content Delivery Networks

IEEE Access, 2018
The problem of cloud resource optimization is examined, while the uncertainty in demand and user feedback is considered. We propose a Markov decision process model for resource assignment in cloud-based content delivery networks.
Ali A. Haghighi, Shahram Shahbazpanahi, Shahram Shah Heydari   +2 more
doaj   +1 more source

Approximations for constrained Markov decision problems

, 2018
This chapter studies the finite-state approximation of a discrete-time constrained Markov decision process with compact state space, under the discounted and average cost criteria.
Naci Saldi, Tamás Linder, Serdar Yüksel, Linder, T., Yüksel, S., Saldı, Naci   +5 more
core   +1 more source

Evolutionary morphology of the haplorhine hamate

The Anatomical Record, EarlyView.
Abstract Primates adopt a variety of hand postures during an impressive diversity of locomotor and manipulative behaviors. Morphological research has found that elements of the hand skeleton, such as the hamate, hold key information for inferring hand use and locomotor kinematics in extinct species.
Laura E. Hunter, Matthew W. Tocheri, Caley M. Orr, Biren A. Patel, Zeresenay Alemseged   +4 more
wiley   +1 more source

Subspace‐Based System Identification From Binary Measurements

Asian Journal of Control, EarlyView.
ABSTRACT This paper is concerned with subspace identification from binary measurements for systems whose dynamical behavior can be splited into a deterministic and a stochastic subsystem. An identification algorithm is detailed. The main contribution of the proposed identification algorithm lies in the identification of both the deterministic subsystem
Alex Ali Mestrah, Mathieu Pouliquen, Eric Pigeon   +2 more
wiley   +1 more source