A Supervisory Model Predictive Control Framework for Dual Temperature Setpoint Optimization

Autor: Mingxi Liu, Kaden E. Plewe, Amanda D. Smith

Publikováno v: ACC

In this paper, a model predictive control (MPC) framework for building energy system setpoint optimization is developed and tested. The performance of the MPC framework is presented in comparison to a baseline case, where a fixed setpoint schedule is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c6c2ebc0d1621ad5b493f71c3592e22f
https://doi.org/10.23919/acc45564.2020.9147308

Remote Detection of Abnormal Behavior in Mechanical Systems

Autor: Adam J. Wachtor, Greta Colford, Eric B. Flynn, Erica M. Jacobson, Kaden E. Plewe

Publikováno v: Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 ISBN: 9783030129347

Machinery can undergo many different types of operational faults during use. Mitigating these faults through scheduled maintenance programs or upon failure is costly, inefficient, and can introduce safety hazards. An alternative approach to identifyi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e0db42851e23f7bec37113874f6fa207
https://doi.org/10.1007/978-3-030-12935-4_6

MICCAI Workshop on Computational Diffusion MRI, CDMRI 2016

Autor: Fuster, A., Ghosh, A., Kaden, E., Rathi, Y., Reisert, M.

The proceedings contain 17 papers. The special focus in this conference is on Computational Diffusion MRI. The topics include: The MR physics of advanced diffusion imaging; noise floor removal via phase correction of complex diffusion-weighted images

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::165ee2d75a337d6e9d543897714c6b3d
https://research.tue.nl/nl/publications/683b2490-6947-4f5d-a479-ae5cb4f71263

LE QUATRIÈME STAGE INTERNATIONAL D'ÉTUDES HUMANISTES À TOURS EN 1960

Autor: Kaden, E.-H.

Publikováno v: Bibliothèque d'Humanisme et Renaissance, 1961 Jan 01. 23(2), 423-424.

Externí odkaz: https://www.jstor.org/stable/20674303

Comparison of Neurite Orientation Dispersion and Density Imaging and Two-Compartment Spherical Mean Technique Parameter Maps in Multiple Sclerosis.

Autor: Johnson D; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom.; Addenbrooke's Hospital, Cambridge, United Kingdom., Ricciardi A; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom.; Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, University College London, London, United Kingdom., Brownlee W; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom., Kanber B; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom.; Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, University College London, London, United Kingdom., Prados F; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom.; Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, University College London, London, United Kingdom.; e-Health Centre, Universitat Oberta de Catalunya, Barcelona, Spain., Collorone S; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom., Kaden E; Department of Computer Science, Centre for Medical Image Computing, University College London, London, United Kingdom.; Great Ormond Street Institute of Child Health, University College London, London, United Kingdom., Toosy A; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom.; National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, London, United Kingdom., Alexander DC; Department of Computer Science, Centre for Medical Image Computing, University College London, London, United Kingdom., Gandini Wheeler-Kingshott CAM; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom.; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.; Brain Magnetic Resonance Imaging (MRI) 3T Research Centre, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Mondino Foundation, Pavia, Italy., Ciccarelli O; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom.; National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, London, United Kingdom., Grussu F; Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis (MS) Centre, University College London (UCL) Queen Square Institute of Neurology, University College London, London, United Kingdom.; Radiomics Group, Vall d'Hebron Institute of Oncology, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.

Publikováno v: Frontiers in neurology [Front Neurol] 2021 Jun 14; Vol. 12, pp. 662855. Date of Electronic Publication: 2021 Jun 14 (Print Publication: 2021).