Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Julian Berk"'
Autor:
Philipp Moldtmann, Julian Berk, Shannon Ryan, Andreas Klavzar, Jerome Limido, Christopher Lange, Santu Rana, Svetha Venkatesh
Publikováno v:
Defence Technology, Vol 40, Iss , Pp 1-12 (2024)
We evaluate an adaptive optimisation methodology, Bayesian optimisation (BO), for designing a minimum weight explosive reactive armour (ERA) for protection against a surrogate medium calibre kinetic energy (KE) long rod projectile and surrogate shape
Externí odkaz:
https://doaj.org/article/df9f6d26414445af87bea98567de65ae
Autor:
Shannon Ryan, Neeraj Mohan Sushma, Arun Kumar AV, Julian Berk, Tahrima Hashem, Santu Rana, Svetha Venkatesh
Publikováno v:
Defence Technology, Vol 31, Iss , Pp 14-26 (2024)
Machine learning (ML) is well suited for the prediction of high-complexity, high-dimensional problems such as those encountered in terminal ballistics. We evaluate the performance of four popular ML-based regression models, extreme gradient boosting
Externí odkaz:
https://doaj.org/article/f8ae746baea649ff92acbd13d22b2430
Publikováno v:
Defence Technology, Vol 18, Iss 9, Pp 1563-1577 (2022)
We present an inverse methodology for deriving viscoplasticity constitutive model parameters for use in explicit finite element simulations of dynamic processes using functional experiments, i.e., those which provide value beyond that of constitutive
Externí odkaz:
https://doaj.org/article/94aacddbf10c46ec934e567d11cb8737
Publikováno v:
IJCAI
In order to improve the performance of Bayesian optimisation, we develop a modified Gaussian process upper confidence bound (GP-UCB) acquisition function. This is done by sampling the exploration-exploitation trade-off parameter from a distribution.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::992fd7d4ad5b89ca22f98534b190e188
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109271
ECML/PKDD (2)
ECML/PKDD (2)
Bayesian optimization (BO) is a sample-efficient method for global optimization of expensive, noisy, black-box functions using probabilistic methods. The performance of a BO method depends on its selection strategy through an acquisition function. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbcb9f8070f9d1d8e360cff8f2814e94
https://doi.org/10.1007/978-3-030-10928-8_37
https://doi.org/10.1007/978-3-030-10928-8_37
Publikováno v:
Knowledge-Based Systems. 195:105645
Bayesian optimisation (BO) is one of the most sample efficient methods for determining the optima of expensive, noisy black-box functions. Despite its tremendous success in scientific discovery and hyperparameter tuning, it still requires a bounded s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8076090e6468b5825e7a978f80fd63c7
https://doi.org/10.1016/j.knosys.2020.105645
https://doi.org/10.1016/j.knosys.2020.105645
Publikováno v:
Procedia Technology. 20:225-230
Preclinical research in optogeneticneuromodulation in small laboratory animals allows far greater control of neural circuitry. This precision provides an enhanced opportunity for understanding the neural basis of behavior. However, behavioral neurosc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87ba7e8bd92e099c2596fc5d74b7f051
https://doi.org/10.1016/j.protcy.2015.07.036
https://doi.org/10.1016/j.protcy.2015.07.036
Autor:
Julian de Hoog, Xizi Wang, Marcus Brazil, Josh Andres, Florian 'Floyd' Mueller, Jürg von Känel, Julian Berk, Bach Le
Publikováno v:
CHI PLAY (Companion)
eBikes contribute to the future of personal transport while offering physical activity and wellbeing benefits. However, there has been little exploration of the way eBikes interact with humans within the field of human-computer interaction (HCI). In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83b7e7e499cbaa9f82ada2aa712ab145
https://doi.org/10.1145/2968120.2987719
https://doi.org/10.1145/2968120.2987719
Publikováno v:
EMBC
The therapeutic actions of deep brain stimulation are not fully understood. The early inflammatory response of electrode implantation is associated with symptom relief without electrical stimulation, but is negated by anti-inflammatory drugs. Early e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52aa9cf24dac7f86774b61a666f62309
https://doi.org/10.1109/embc.2016.7591071
https://doi.org/10.1109/embc.2016.7591071
Publikováno v:
ICIT
This paper presents a portable neural recording device for use with laboratory animals. It can detect and record neural signals from the cortical region of the brain during pre-clinical trials. The device utilizes simplified circuitry to perform sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::601a6b7dc1e003f446ea3da5618607fa
https://doi.org/10.1109/icit.2016.7474892
https://doi.org/10.1109/icit.2016.7474892