Results 221 to 230 of about 331,693 (264)

The Adaptive Cycle Engines

SAE Technical Paper Series, 2018
<div class="section abstract"><div class="htmlview paragraph">Traditionally, internal combustion engines follow thermodynamic cycles comprising a fixed number of crank revolutions, in order to accommodate compression of the incoming air as well as expansion of the combustion products.
openaire   +1 more source

Adaptive Cycling

Physical Medicine and Rehabilitation Clinics of North America, 2022
Gabrielle T. Goodlin, Lindsey Steinbeck, Deborah Bergfeld, Alexandria Haselhorst   +3 more
openaire   +1 more source

Adapting Training to the Menstrual Cycle

International Journal of Sports Physiology and Performance, 2023
Xanne A.K. Janse de Jonge, Belinda M. Thompson   +1 more
openaire   +2 more sources

Adoption + Adaptation In Performance Cycling

2019
This research has explored the relationship between cyclist and machine, through exploratory research methods and heuristic exploration by proposing a series of custom hardware interventions as way of enriching mountain bike rider’s experience. Changing the mountain bike rider’s experience and the mindset of the community of avid cyclists and industry ...
openaire   +1 more source

Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
Travis Salzillo, William Hall, Christopher Schultz   +2 more
exaly  

Robust design of an adaptive cycle engine performance under component performance uncertainty

Aerospace Science and Technology, 2021
Jiyuan Zhang
exaly  

Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning

Computers and Education Artificial Intelligence, 2022
Hiroaki Ogata, Brendan Flanagan, Albert C M Yang   +2 more
exaly  

Adaptive cycles in archaeology

Quaternary International, 2017
Sonja B. Grimm, Julien Riel-Salvatore, Marcel Bradtmöller   +2 more
openaire   +1 more source

On the V-Cycle of the Fully Adaptive Multigrid Method

1994
The Fully Adaptive Multigrid Method (FAMe) is a concept for the effective solution of elliptic problems including robust and efficient iterative solution, error estimation, and self-adaptive refinement. In this paper we introduce a variant of the FAMe similar in structure to a multigrid V-cycle and a multiplicative multilevel Schwarz method.
openaire   +2 more sources

Transferable Adversarial Cycle Alignment for Domain Adaption

2019
Domain adaption is definitely critical for success in bridging source and target domains that data distribution shifts exist in domain or task. The state-of-the-art of the adversarial feature learning model named Bidirectional Generative Adversarial Networks (BiGAN), forces generative models to align with an arbitrarily complex distribution in a latent
openaire   +1 more source