Zobrazeno 1 - 10
of 459
pro vyhledávání: '"Low, Jonathan"'
Autor:
Low, Jonathan
Blueline Tilefish is a deepwater species that is found along the United States Atlantic coast and in the Gulf of Mexico. Fisheries for the species have developed in the past five decades, and large increases in landings from the mid-2000s to 2010s ha
Externí odkaz:
https://hdl.handle.net/10919/119051
The modeling of dynamical systems is a pervasive concern for not only describing but also predicting and controlling natural phenomena and engineered systems. Current data-driven approaches often assume prior knowledge of the relevant state variables
Externí odkaz:
http://arxiv.org/abs/2408.11691
Autor:
Mitra, Gautam, Zheng, Jueting, Schaefer, Karen, Deffner, Michael, Low, Jonathan Z., Campos, Luis M., Herrmann, Carmen, Costi, Theo A., Scheer, Elke
The Blatter radical has been suggested as a building block in future molecular spintronic devices due to its radical character and expected long-spin lifetime. However, whether and how the radical character manifests itself in the charge transport an
Externí odkaz:
http://arxiv.org/abs/2408.00366
Interleaved practice enhances the memory and problem-solving ability of students in undergraduate courses. We introduce a personalized learning tool built on a Large Language Model (LLM) that can provide immediate and personalized attention to studen
Externí odkaz:
http://arxiv.org/abs/2407.00065
Autor:
Fuller, Daniel, Colwell, Emily, Low, Jonathan, Orychock, Kassia, Tobin, Melissa Ann, Simango, Bo, Buote, Richard, Van Heerden, Desiree, Luan, Hui, Cullen, Kimberley, Slade, Logan, Taylor, Nathan G A
Publikováno v:
JMIR mHealth and uHealth, Vol 8, Iss 9, p e18694 (2020)
BackgroundConsumer-wearable activity trackers are small electronic devices that record fitness and health-related measures. ObjectiveThe purpose of this systematic review was to examine the validity and reliability of commercial wearables in measuri
Externí odkaz:
https://doaj.org/article/e0d6d80c0dd7410eac0499b42576a3b7
Can a machine or algorithm discover or learn the elliptical orbit of Mars from astronomical sightings alone? Johannes Kepler required two paradigm shifts to discover his First Law regarding the elliptical orbit of Mars. Firstly, a shift from the geoc
Externí odkaz:
http://arxiv.org/abs/2312.12315
Many functions characterising physical systems are additively separable. This is the case, for instance, of mechanical Hamiltonian functions in physics, population growth equations in biology, and consumer preference and utility functions in economic
Externí odkaz:
http://arxiv.org/abs/2312.09775
Can a machine or algorithm discover or learn Kepler's first law from astronomical sightings alone? We emulate Johannes Kepler's discovery of the equation of the orbit of Mars with the Rudolphine tables using AI Feynman, a physics-inspired tool for sy
Externí odkaz:
http://arxiv.org/abs/2312.09766
Hamiltonian neural networks (HNNs) are state-of-the-art models that regress the vector field of a dynamical system under the learning bias of Hamilton's equations. A recent observation is that embedding a bias regarding the additive separability of t
Externí odkaz:
http://arxiv.org/abs/2309.01069