Zobrazeno 1 - 10
of 363
pro vyhledávání: '"Damien Coyle"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract A recent experiment probed how purposeful action emerges in early life by manipulating infants’ functional connection to an object in the environment (i.e., tethering an infant’s foot to a colorful mobile). Vicon motion capture data from
Externí odkaz:
https://doaj.org/article/650fd6e99bf7429c961c4ee30a333a44
Publikováno v:
NeuroImage, Vol 285, Iss , Pp 120458- (2024)
State-space models are widely employed across various research disciplines to study unobserved dynamics. Conventional estimation techniques, such as Kalman filtering and expectation maximisation, offer valuable insights but incur high computational c
Externí odkaz:
https://doaj.org/article/8e9fe6fc92364bc6b45dca056b5953e1
Autor:
Stefano Tortora, Luca Tonin, Sebastian Sieghartsleitner, Rupert Ortner, Christoph Guger, Olive Lennon, Damien Coyle, Emanuele Menegatti, Alessandra Del Felice
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2988-3003 (2023)
Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot interaction. The coupling of robot assisted gait training (RAGT) with a brain-machine interface (BMI) represents an important step in this direction but require
Externí odkaz:
https://doaj.org/article/4b1f3d4048314935bc1a1d85e6cc730c
Autor:
Attila Korik, Karl McCreadie, Niall McShane, Naomi Du Bois, Massoud Khodadadzadeh, Jacqui Stow, Jacinta McElligott, Áine Carroll, Damien Coyle
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 19, Iss 1, Pp 1-22 (2022)
Abstract Background The brain–computer interface (BCI) race at the Cybathlon championship, for people with disabilities, challenges teams (BCI researchers, developers and pilots with spinal cord injury) to control an avatar on a virtual racetrack w
Externí odkaz:
https://doaj.org/article/6b559598a20442dea745c0361f19627d
Autor:
Pasquale Arpaia, Damien Coyle, Antonio Esposito, Angela Natalizio, Marco Parvis, Marisa Pesola, Ersilia Vallefuoco
Publikováno v:
Sensors, Vol 23, Iss 13, p 5836 (2023)
The present study introduces a brain–computer interface designed and prototyped to be wearable and usable in daily life. Eight dry electroencephalographic sensors were adopted to acquire the brain activity associated with motor imagery. Multimodal
Externí odkaz:
https://doaj.org/article/f9e2098157264df086f18bbb7b8ded5c
Autor:
Salman Ahmed, Muskaan Singh, Brendan Doherty, Effirul Ramlan, Kathryn Harkin, Magda Bucholc, Damien Coyle
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3843 (2023)
Large-scale companies across various sectors maintain substantial IT infrastructure to support their operations and provide quality services for their customers and employees. These IT operations are managed by teams who deal directly with incident r
Externí odkaz:
https://doaj.org/article/f1d97277cab441b09c177c0ab689fc30
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11824-11839 (2021)
Limited training data, high dimensionality, image complexity, and similarity between classes are challenges confronting hyperspectral image (HSI) classification often resulting in suboptimal classification performance. The capsule network (CapsNet) p
Externí odkaz:
https://doaj.org/article/56cf8cfa274e417e809e64db5b0f38b9
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
Externí odkaz:
https://doaj.org/article/95deafa11ea44f9eac538ad46eae433b
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Externí odkaz:
https://doaj.org/article/9be62450e92143f680b0dc6c165350b2
Publikováno v:
Gorman, M, Ding, X, Maguire, L & Coyle, D 2023, ' Anomaly Detection in Batch Manufacturing Processes Using Localized Reconstruction Errors From 1-D Convolutional AutoEncoders ', IEEE Transactions on Semiconductor Manufacturing, vol. 36, no. 1, pp. 147-150 . https://doi.org/10.1109/TSM.2022.3216032
Multivariate batch time-series data sets within Semiconductor manufacturing processes present a difficult environment for effective Anomaly Detection (AD). The challenge is amplified by the limited availability of ground truth labelled data. In scena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70a296ae66197ef8ae6e1be95b381e15
https://doi.org/10.1109/tsm.2022.3216032
https://doi.org/10.1109/tsm.2022.3216032