Efficient Deep Wavelet Gaussian Markov Dempster-Shafer Network-Based Spectrum Sensing at Very Low SNR in Cognitive Radio Networks. [PDF]
Sensors (Basel)Jatti S, Tyagi A.
europepmc +1 more source
On the Mean‐Field Limit of Consensus‐Based Methods
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley +1 more source
Finite Memory Belief Approximation for Optimal Control in Partially Observable Markov Decision Processes [PDF]
Mintae Kim
openalex +2 more sources
Real time task planning for order picking in intelligent logistics warehousing. [PDF]
Sci RepZhang S +5 more
europepmc +1 more source
Cooperation and Coordination Between Fuzzy Reinforcement Learning Agents in Continuous State Partially Observable Markov Decision Processes [PDF]
, 1999 H.R. Berenji, David Vengerov
openalex
Risk-Sensitive Partially Observable Markov Decision Processes as Fully Observable Multivariate Utility Optimization problems [PDF]
, 2018 Arsham Afsardeir +3 more
openalex +1 more source
Modeling the Intermediate Flow Regime in Flow‐Compensated Intravoxel Incoherent Motion MRI
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose The intravoxel incoherent motion (IVIM) model is commonly used to separate the effects of motion related to diffusion and blood microcirculation (perfusion) on the MR signal. Depending on the encoding time (T), it is possible to probe the different temporal regimes of blood motion, which resemble a ballistic flow at short T and a ...
Louise Rosenqvist +5 more
wiley +1 more source
A decision-making framework using MCTS as a hierarchical task network and deep learning connector. [PDF]
Sci ProgShao T, Zhang K, Cheng K, Zhang H.
europepmc +1 more source
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao +3 more
wiley +1 more source