Results 91 to 100 of about 254,480 (307)
Ming Hu,1,* Pan Ding,1,* Jinfang Ma,2 Nan Yang,1 Jinping Zheng,2 Naitong Zhou1 1West China School of Pharmacy Sichuan University, Chengdu, People’s Republic of China; 2State Key Laboratory of Respiratory Disease, National Clinical Research Center
Hu M +5 more
doaj
Realised and Optimal Monetary Policy Rules in an Estimated Markov-Switching DSGE Model of the United Kingdom [PDF]
This paper conducts a systematic investigation of parameter instability in a small open economy DSGE model of the UK economy over the past thirty-five years.
Ronald MacDonald, Xiaoshan Chen
core
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 +3 more
wiley +1 more source
Kajian Model Hidden Markov untuk Menduga Volatilitas Indeks Harga Saham
Volatility is a measure of uncertainty, which is useful for investor to plan a good investment strategy. The problem is that volatility is unobservable, and estimating volatility is not a trivial task.
Baist, Abdul
core
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
This work explores the interactions between the oxazine dye ATTO655 and two macrocyclic hosts using optical (single‑molecule) spectroscopy. Although ATTO655 forms a classical inclusion complex with cucurbit[8]uril (CB8), its interaction with p‑sulfonatocalix[4]arene (sCX4) leads to the formation of dim exclusion complexes.
Siyu Lu +7 more
wiley +2 more sources
Forecasting Value-at-Risk Using the Markov-Switching ARCH Model [PDF]
This paper analyzes the application of the Markov-switching ARCH model (Hamilton and Susmel, 1994) in improving value-at-risk (VaR) forecast. By considering a mixture of normal distributions with varying variances over different time and regimes, we find
Wei-Ting Tang, Yin-Feng Gau
core
Recursive Markov Decision Processes and Recursive Stochastic Games [PDF]
We introduce Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs), and study the decidability and complexity of algorithms for their analysis and verification.
Mihalis Yannakakis +3 more
core +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
The paper deals with problems of safety features modelling using a safety-related redundant transmission system as part of a safety -critical control system.
Jan Rofar +2 more
doaj +1 more source

