Zobrazeno 1 - 10
of 4 777
pro vyhledávání: '"Rogers, P. J."'
Autor:
Crossfield, Ian J. M., Polanski, Alex S., Robertson, Paul, Murphy, Joseph Akana, Turtelboom, Emma V., Luque, Rafael, Beatty, Thomas, Daylan, Tansu, Isaacson, Howard, Brande, Jonathan, Kreidberg, Laura, Batalha, Natalie M., Huber, Daniel, Rhem, Maleah, Dressing, Courtney, Kane, Stephen R., Bossett, Malik, Gagnebin, Anna, Kroft, Maxwell A., Premnath, Pranav H., Rogers, Claire J., Collins, Karen A., Latham, David W., Watkins, Cristilyn N., Ciardi, David R., Howell, Steve B., Savel, Arjun B., Berlind, Perry, Calkins, Michael L., Esquerdo, Gilbert A., Mink, Jessica, Clark, Catherine A., Lund, Michael B., Matson, Rachel A., Everett, Mark E., Schlieder, Joshua E., Matthews, Elisabeth C., Giacalone, Steven, Barclay, Thomas, Zambelli, Roberto, Plavchan, Peter, Ellingson, Taylor, Bowen, Michael, Srdoc, Gregor, McLeod, Kim K., Schwarz, Richard P., Barkaoui, Khalid, Kamler, Jacob, Murgas, Felipe, Palle, Enric, Narita, Norio, Fukui, Akihiko, Relles, Howard M., Bieryla, Allyson, Girardin, Eric, Massey, Bob, Stockdale, Chris, Lewin, Pablo, Papini, Riccardo, Guerra, Pere, Conti, Dennis M., Yalcinkaya, Selcuk, Basturk, Ozgur, Mourad, Ghachoui
Sub-Neptunes - volatile-rich exoplanets smaller than Neptune - are intrinsically the most common type of planet known. However, the formation and nature of these objects, as well as the distinctions between sub-classes (if any), remain unclear. Two p
Externí odkaz:
http://arxiv.org/abs/2411.16836
Autor:
Rogers, Jake J., Tran, Chanh Q., Kirk, Tony, Di Pasquale, Paul, Dao, Hong Minh, Bowman, Pierce
The propagation of wave fields and their interactions with matter are important for established and emerging fields in optical sciences. Efficient methods for predicting such behaviour have been employed routinely for coherent sources. However, most
Externí odkaz:
http://arxiv.org/abs/2410.10049
Autor:
Ansari, Rayan, Cao, John, Bandyopadhyay, Sabyasachi, Narayan, Sanjiv M., Rogers, Albert J., Pilanci, Mert
We present ConvexECG, an explainable and resource-efficient method for reconstructing six-lead electrocardiograms (ECG) from single-lead data, aimed at advancing personalized and continuous cardiac monitoring. ConvexECG leverages a convex reformulati
Externí odkaz:
http://arxiv.org/abs/2409.12493
Classification models are a key component of structural digital twin technologies used for supporting asset management decision-making. An important consideration when developing classification models is the dimensionality of the input, or feature sp
Externí odkaz:
http://arxiv.org/abs/2409.11236
Autor:
Clarkson, Daniel R., Bull, Lawrence A., Wickramarachchi, Chandula T., Cross, Elizabeth J., Rogers, Timothy J., Worden, Keith, Dervilis, Nikolaos, Hughes, Aidan J.
Regression is a fundamental prediction task common in data-centric engineering applications that involves learning mappings between continuous variables. In many engineering applications (e.g.\ structural health monitoring), feature-label pairs used
Externí odkaz:
http://arxiv.org/abs/2409.04328
Autor:
Chen, Kuan-Cheng, Collauto, Alberto, Rogers, Ciarán J., Yu, Shang, Oxborrow, Mark, Attwood, Max
Future information processing technologies like quantum memory devices have the potential to store and transfer quantum states to enable quantum computing and networking. A central consideration in practical applications for such devices is the natur
Externí odkaz:
http://arxiv.org/abs/2408.16743
In the field of operational modal analysis (OMA), obtained modal information is frequently used to assess the current state of aerospace, mechanical, offshore and civil structures. However, the stochasticity of operational systems and the lack of for
Externí odkaz:
http://arxiv.org/abs/2408.08664
BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo
Autor:
Champneys, Max D., Rogers, Timothy J.
Model parsimony is an important \emph{cognitive bias} in data-driven modelling that aids interpretability and helps to prevent over-fitting. Sparse identification of nonlinear dynamics (SINDy) methods are able to learn sparse representations of compl
Externí odkaz:
http://arxiv.org/abs/2408.08062
Autor:
Wilson, James, Champneys, Max D., Tipuric, Matt, Mills, Robin, Wagg, David J., Rogers, Timothy J.
The use of measured vibration data from structures has a long history of enabling the development of methods for inference and monitoring. In particular, applications based on system identification and structural health monitoring have risen to promi
Externí odkaz:
http://arxiv.org/abs/2406.04943
Nonlinear system identification remains an important open challenge across research and academia. Large numbers of novel approaches are seen published each year, each presenting improvements or extensions to existing methods. It is natural, therefore
Externí odkaz:
http://arxiv.org/abs/2405.10779