Results 61 to 70 of about 937,585 (275)

A sensor selection approach to maneuvering target tracking based on trajectory function of time

EURASIP Journal on Advances in Signal Processing, 2022
In this paper, we propose a computationally efficient sensor selection approach for maneuvering target tracking using a sensor network with communication bandwidth constraints, given limited prior information on the target maneuvering models.
Changyi Liu, Kuangyu Di, Tiancheng Li, Victor Elvira   +3 more
doaj   +1 more source

Markov Decision Processes with Incomplete Information and Semi-Uniform Feller Transition Probabilities [PDF]

arXiv, 2021
This paper deals with control of partially observable discrete-time stochastic systems. It introduces and studies Markov Decision Processes with Incomplete Information and with semi-uniform Feller transition probabilities. The important feature of these models is that their classic reduction to Completely Observable Markov Decision Processes with ...
arxiv  

Minimal Disclosure in Partially Observable Markov Decision Processes

, 2011
International ...
Bertrand, Nathalie, Genest, Blaise
openaire   +5 more sources

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Optimal sequential decision making with probabilistic digital twins

SN Applied Sciences, 2023
In this study, we present a formal definition of the probabilistic digital twin (PDT). Digital twins are emerging in many industries, typically consisting of simulation models and data associated with a specific physical system.
Christian Agrell, Kristina Rognlien Dahl, Andreas Hafver   +2 more
doaj   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Bayesian Parameterization of Continuum Battery Models from Featurized Electrochemical Measurements Considering Noise**

Batteries &Supercaps, Volume 6, Issue 1, January 2023., 2023
We introduce a computer algorithm that incorporates the experience of battery researchers to extract information from experimental data reproducibly. This enables the fitting of complex models that take up to a few minutes to simulate. For validation, we process full‐cell GITT measurements to characterize the diffusivities of both electrodes non ...
Yannick Kuhn, Hannes Wolf, Arnulf Latz, Birger Horstmann   +3 more
wiley   +1 more source

Enhancing Autonomous Driving With Spatial Memory and Attention in Reinforcement Learning

IEEE Access
Reinforcement learning in environments with visual observations presents challenges due to incomplete individual observations. The lack of complete information leads to increased uncertainty in decision-making, which requires agents to be supplemented ...
Matvey Gerasyov, Andrey V. Savchenko, Ilya Makarov   +2 more
doaj   +1 more source

Гібридні системи безпеки інформаційних та комунікаційних мереж [PDF]

Системи обробки інформації, 2017
У статті розглядаються два різних методи вирішення децентралізованого частково спостерігаємого процесу прийняття рішень Маркова (decentralized partially observable Markov decision process, DEC-POMDP).
Борисова Н.В., Шабанова-Кушнаренко Л.В.   +1 more
doaj   +1 more source

Robust Partially Observable Markov Decision Processes

SSRN Electronic Journal, 2018
In a variety of applications, decisions needs to be made dynamically after receiving imperfect observations about the state of an underlying system. Partially Observable Markov Decision Processes (POMDPs) are widely used in such applications. To use a POMDP, however, a decision-maker must have access to reliable estimations of core state and ...
Mohammad Rasouli, Soroush Saghafian
openaire   +3 more sources