Zobrazeno 1 - 10
of 493
pro vyhledávání: '"Keemink, A."'
Artificial intelligence techniques are increasingly being applied to solve control problems, but often rely on black-box methods without transparent output generation. To improve the interpretability and transparency in control systems, models can be
Externí odkaz:
http://arxiv.org/abs/2406.02765
Recurrent neural networks (RNNs) hold immense potential for computations due to their Turing completeness and sequential processing capabilities, yet existing methods for their training encounter efficiency challenges. Backpropagation through time (B
Externí odkaz:
http://arxiv.org/abs/2405.08967
Stochastic lattice models (sLMs) are computational tools for simulating spatiotemporal dynamics in physics, computational biology, chemistry, ecology, and other fields. Despite their widespread use, it is challenging to fit sLMs to data, as their lik
Externí odkaz:
http://arxiv.org/abs/2310.08305
Autor:
Bastiaan T. van Dijk, Sytske Anne Bergstra, J. Merlijn van den Berg, Dieneke Schonenberg-Meinema, Lisette W.A. van Suijlekom-Smit, Marion A.J. van Rossum, Yvonne Koopman-Keemink, Rebecca ten Cate, Cornelia F. Allaart, Daniëlle M.C. Brinkman, Petra C.E. Hissink Muller
Publikováno v:
Pediatric Rheumatology Online Journal, Vol 22, Iss 1, Pp 1-9 (2024)
Abstract Background Etanercept has been studied in doses up to 0.8 mg/kg/week (max 50 mg/week) in juvenile idiopathic arthritis (JIA) patients. In clinical practice higher doses are used off-label, but evidence regarding the relation with outcomes is
Externí odkaz:
https://doaj.org/article/fa8d9324980a49eb9888c4d773ba6e32
Efficient and robust control using spiking neural networks (SNNs) is still an open problem. Whilst behaviour of biological agents is produced through sparse and irregular spiking patterns, which provide both robust and efficient control, the activity
Externí odkaz:
http://arxiv.org/abs/2212.12887
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Recurrent neural networks (RNNs) hold immense potential for computations due to their Turing completeness and sequential processing capabilities, yet existing methods for their training encounter efficiency challenges. Backpropagation through time (B
Externí odkaz:
https://doaj.org/article/48636d5850eb4e3d91523b96275024c9
Autor:
Prieto, Ander Vallinas, Keemink, Arvid Q. L., van Asseldonk, Edwin H. F., van der Kooij, Herman
Publikováno v:
A. V. Prieto, A. Q. L. Keemink, E. H. F. van Asseldonk and H. van der Kooij, "Feasible Wrench Set Computation for Legged Robots," in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7676-7683, July 2022
During locomotion, legged robots interact with the ground by sequentially establishing and breaking contact. The interaction wrenches that arise from contact are used to steer the robot Center of Mass (CoM) and reject perturbations that make the syst
Externí odkaz:
http://arxiv.org/abs/2202.01628
Autor:
Rampeltshammer, Wolfgang, Keemink, Arvid, Sytsma, Menno, van Asseldonk, Edwin, van der Kooij, Herman
Series elastic actuators (SEA) with their inherent compliance offer a safe torque source for robots that are interacting with various environments, including humans. These applications have high requirements for the SEA torque controllers, both in th
Externí odkaz:
http://arxiv.org/abs/2201.00583
Autor:
Kalina Mikolajczak-Degrauwe, Sybren R. Slimmen, Dylan Gillissen, Petra de Bil, Valerie Bosmans, Corrine Keemink, Inge Meyvis, Yvonne J. Kuipers
Publikováno v:
International Journal of Nursing Sciences, Vol 10, Iss 4, Pp 587-601 (2023)
Objective: To explore the current state of knowledge and evidence about peer support for various disadvantaged groups; to identify the strengths, weaknesses, opportunities, and threats of peer support to critically reflect on peer support within heal
Externí odkaz:
https://doaj.org/article/c640f6e61dff4812b58403824f5c1dbf
Autor:
van der Kooij, Herman, Fricke, Simone S., Veld, Ronald C. van 't, Prieto, Ander Vallinas, Keemink, Arvid Q. L., Schouten, Alfred C., van Asseldonk, Edwin H. F.
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering 30 (2022), 1203-1212
Knowledge on joint impedance during walking in various conditions is relevant for clinical decision-making and the development of robotic gait trainers, leg prostheses, leg orthotics and wearable exoskeletons. Whereas ankle impedance during walking h
Externí odkaz:
http://arxiv.org/abs/2112.05564