Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Brusey, James"'
Unmanned aerial vehicles (UAVs) have numerous applications, but their efficient and optimal flight can be a challenge. Reinforcement Learning (RL) has emerged as a promising approach to address this challenge, yet there is no standardized library for
Externí odkaz:
http://arxiv.org/abs/2304.01305
An inherent problem of reinforcement learning is performing exploration of an environment through random actions, of which a large portion can be unproductive. Instead, exploration can be improved by initializing the learning policy with an existing
Externí odkaz:
http://arxiv.org/abs/2208.10533
We propose a differential radial basis function (RBF) network termed RBF-DiffNet -- whose hidden layer blocks are partial differential equations (PDEs) linear in terms of the RBF -- to make the baseline RBF network robust to noise in sequential data.
Externí odkaz:
http://arxiv.org/abs/2010.06178
Autor:
Halford, Alison, Gaura, Elena, Bhargava, Kriti, Verba, Nandor, Brusey, James, Nixon, Jonathan
Publikováno v:
In Energy Research & Social Science August 2022 90
Autor:
Allen, Michael, Gaura, Elena, Wilkins, Ross, Brusey, James, Dong, Yuepeng, Whittle, Andrew J.
Temporary earth retaining structures (TERS) help prevent collapse during construction excavation. To ensure that these structures are operating within design specifications, load forces on supports must be monitored. Current monitoring approaches are
Externí odkaz:
http://arxiv.org/abs/1705.03705
Vehicle climate control systems aim to keep passengers thermally comfortable. However, current systems control temperature rather than thermal comfort and tend to be energy hungry, which is of particular concern when considering electric vehicles. Th
Externí odkaz:
http://arxiv.org/abs/1704.07899
Under normality and homoscedasticity assumptions, Linear Discriminant Analysis (LDA) is known to be optimal in terms of minimising the Bayes error for binary classification. In the heteroscedastic case, LDA is not guaranteed to minimise this error. A
Externí odkaz:
http://arxiv.org/abs/1703.08434
The Tabu Search (TS) metaheuristic has been proposed for K-Means clustering as an alternative to Lloyd's algorithm, which for all its ease of implementation and fast runtime, has the major drawback of being trapped at local optima. While the TS appro
Externí odkaz:
http://arxiv.org/abs/1703.08440
Publikováno v:
In Expert Systems With Applications 1 March 2022 189
Publikováno v:
In Building and Environment 15 July 2020 179