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Learning to Predict Grip Quality from Simulation: Establishing a Digital Twin to Generate Simulated Data for a Grip Stability Metric

Autor: Wucherer, Stefanie, McMurray, Robert, Ng, Kok Yew, Kerber, Florian

A robust grip is key to successful manipulation and joining of work pieces involved in any industrial assembly process. Stability of a grip depends on geometric and physical properties of the object as well as the gripper itself. Current state-of-the

Externí odkaz: http://arxiv.org/abs/2302.03504

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Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm

Autor: Davidson, Scot, McCallan, Niamh, Ng, Kok Yew, Biglarbeigi, Pardis, Finlay, Dewar, Lan, Boon Leong, McLaughlin, James

Publikováno v: 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)

Epilepsy affects 50 million people worldwide and is one of the most common serious neurological disorders. Seizure detection and classification is a valuable tool for diagnosing and maintaining the condition. An automated classification algorithm wil

Externí odkaz: http://arxiv.org/abs/2110.01742

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Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm

Autor: McCallan, Niamh, Davidson, Scot, Ng, Kok Yew, Biglarbeigi, Pardis, Finlay, Dewar, Lan, Boon Leong, McLaughlin, James

Publikováno v: 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021, pp. 1269-1276

Epilepsy is a disorder of the nervous system that can affect people of any age group. With roughly 50 million people worldwide diagnosed with the disorder, it is one of the most common neurological disorders. The EEG is an indispensable tool for diag

Externí odkaz: http://arxiv.org/abs/2109.00852

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Assessing the effects of time-dependent restrictions and control actions to flatten the curve of COVID-19 in Kazakhstan

Autor: Do, Ton Duc, Gui, Meei Mei, Ng, Kok Yew

Publikováno v: PeerJ 2021

This paper presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of COVID-19 in the country, the eff

Externí odkaz: http://arxiv.org/abs/2007.11957

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COVID-19: Development of a Robust Mathematical Model and Simulation Package with Consideration for Ageing Population and Time Delay for Control Action and Resusceptibility

Autor: Ng, Kok Yew, Gui, Meei Mei

Publikováno v: Physica D: Nonlinear Phenomena (2020)

The current global health emergency triggered by the pandemic COVID-19 is one of the greatest challenges mankind face in this generation. Computational simulations have played an important role to predict the development of the current pandemic. Such

Externí odkaz: http://arxiv.org/abs/2004.01974

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