Zobrazeno 1 - 10
of 499
pro vyhledávání: '"S BAYARD"'
Autor:
Issa A. D. Nesnas, Benjamin J. Hockman, Saptarshi Bandopadhyay, Benjamin J. Morrell, Daniel P. Lubey, Jacopo Villa, David S. Bayard, Alan Osmundson, Benjamin Jarvis, Michele Bersani, Shyam Bhaskaran
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Autonomy is becoming increasingly important for the robotic exploration of unpredictable environments. One such example is the approach, proximity operation, and surface exploration of small bodies. In this article, we present an overview of an estim
Externí odkaz:
https://doaj.org/article/ab8076806e7e412087b1ced7ad3fc969
Autor:
Claudia M. Roebers, Mariëtte H. van Loon, Florian J. Buehler, Natalie S. Bayard, Martina Steiner, Eva A. Aeschlimann
Publikováno v:
Acta Psychologica, Vol 220, Iss , Pp 103399- (2021)
Two independent data sets assessing children's metacognitive monitoring abilities were used to explore the psychometric properties of classical and often-used monitoring measures in primary school age. Theoretically, monitoring is an overarching skil
Externí odkaz:
https://doaj.org/article/b81c4842b417438dbc8b0994dfc102ba
Autor:
Vinod Gehlot, Mark Balas, Marco B. Quadrelli, Saptarshi Bandyopadhyay, David S. Bayard, Amir Rahmani
Publikováno v:
Journal of Autonomous Vehicles and Systems. :1-9
Quantum Computing and Quantum Information Science is a burgeoning engineering field at the cusp of solving challenging robotic applications. This paper introduces a hybrid (gate-based) quantum computing and classical computing architecture to solve t
Autor:
Po-Ting Chen, David S. Bayard, Robert F. Sharrow, Walid A. Majid, Benjamin A. Dunst, Jason L. Speyer
Publikováno v:
IEEE Transactions on Control Systems Technology. :1-16
Akademický článek
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Autor:
Walter M. Yamada, Michael N. Neely, Jay Bartroff, David S. Bayard, James V. Burke, Mike van Guilder, Roger W. Jelliffe, Alona Kryshchenko, Robert Leary, Tatiana Tatarinova, Alan Schumitzky
Publikováno v:
Pharmaceutics, Vol 13, Iss 1, p 42 (2020)
Population pharmacokinetic (PK) modeling has become a cornerstone of drug development and optimal patient dosing. This approach offers great benefits for datasets with sparse sampling, such as in pediatric patients, and can describe between-patient v
Externí odkaz:
https://doaj.org/article/75ddec7c13e14629b22afaecba91c770
Publikováno v:
Metacognition and Learning
van Loon, Mariëtte H.; Bayard, Natalie S.; Steiner, Martina; Roebers, Claudia M. (2020). Connecting teachers’ classroom instructions with children’s metacognition and learning in elementary school. Metacognition and learning, 16(3), pp. 623-650. Springer 10.1007/s11409-020-09248-2
van Loon, Mariëtte H.; Bayard, Natalie S.; Steiner, Martina; Roebers, Claudia M. (2020). Connecting teachers’ classroom instructions with children’s metacognition and learning in elementary school. Metacognition and learning, 16(3), pp. 623-650. Springer 10.1007/s11409-020-09248-2
Many children have difficulties with accurate self-monitoring and effective regulation of study, and this may cause them to miss learning opportunities. In the classroom, teachers play a key role in supporting children with metacognition and learning
Autor:
Benjamin Jarvis, Issa A. D. Nesnas, David S. Bayard, Benjamin Morrell, Benjamin J. Hockman, Jacopo Villa, Daniel P. Lubey, Shyam Bhaskaran, Gary P. T. Choi, Saptarshi Bandopadhyay
Publikováno v:
IEEE Robotics and Automation Letters. 6:7089-7096
The autonomous approach of spacecraft to a small body (comet or asteroid) relies on using all available information at each phase of the approach. This letter presents new algorithms for global shape reconstructions from sparse tracked surface points
Publikováno v:
IEEE Robotics and Automation Letters. 6:2421-2428
Traveling at constant velocity is the most efficient trajectory for most robotics applications. Unfortunately without accelerometer excitation, monocular Visual-Inertial Odometry (VIO) cannot observe scale and suffers severe error drift. This was the
Autor:
Natalie S. Bayard, Martina Steiner, Florian J. Buehler, Claudia M. Roebers, Mariëtte H. van Loon
Publikováno v:
Metacognition and Learning
Buehler, Florian J.; van Loon, Mariëtte H.; Bayard, Natalie S.; Steiner, Martina; Roebers, Claudia M. (2021). Comparing metacognitive monitoring between native and non-native speaking primary school students. Metacognition and learning, 16(3), pp. 749-768. Springer 10.1007/s11409-021-09261-z
Buehler, Florian J.; van Loon, Mariëtte H.; Bayard, Natalie S.; Steiner, Martina; Roebers, Claudia M. (2021). Comparing metacognitive monitoring between native and non-native speaking primary school students. Metacognition and learning, 16(3), pp. 749-768. Springer 10.1007/s11409-021-09261-z
Metacognitive monitoring is a significant predictor of academic achievement and is assumed to be related to language competencies. Hence, it may explain academic performance differences between native and non-native speaking students. We compared met