Results 21 to 30 of about 801,080 (268)

A Model to Support Fluid Transitions between Environments for Mobile Augmented Reality Applications

open access: yesSensors, 2019
The adaptability between different environments remains a challenge for Mobile Augmented Reality (MAR). If not done seamlessly, such transitions may cause discontinuities in navigation, consequently disorienting users and undermining the acceptance of ...
Tiago Davi Oliveira de Araújo   +3 more
doaj   +1 more source

Selected determinants of occupational stress and burnout in physiotherapists and IT professionals

open access: yesJournal of Education, Health and Sport, 2023
Introduction Occupational stress and burnout have a statistically significant negative impact on learning and work in the professional groups studied, but the exact manner and strength of the impact and the neurophysiological mechanisms underlying the ...
Dariusz Mikołajewski   +2 more
doaj   +1 more source

Adaptation and abstract runtime models [PDF]

open access: yesProceedings of the 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, 2010
Runtime adaptability is often a crucial requirement for today's complex software systems. Several approaches use an architectural model as a runtime representation of a managed system for monitoring, reasoning and performing adaptation. To ease the causal connection between a system and a model, these models are often closely related to the ...
Thomas Vogel 0001, Holger Giese
openaire   +2 more sources

Investigation of Comfort Temperature and Occupant Behavior in Japanese Houses during the Hot and Humid Season

open access: yesBuildings, 2014
In order to clarify the comfort temperature and to investigate the behavioral adaptation in Japanese houses, we have conducted a thermal comfort survey and occupant behavior survey in 30 living rooms during the hot and humid season in the Kanto region of
Hom B. Rijal
doaj   +1 more source

Decentralised federated learning with adaptive partial gradient aggregation

open access: yesCAAI Transactions on Intelligence Technology, 2020
Federated learning aims to collaboratively train a machine learning model with possibly geo-distributed workers, which is inherently communication constrained.
Jingyan Jiang, Liang Hu
doaj   +1 more source

Adaptive IDS for Cooperative Intelligent Transportation Systems Using Deep Belief Networks

open access: yesAlgorithms, 2022
The adoption of cooperative intelligent transportation systems (cITSs) improves road safety and traffic efficiency. Vehicles connected to cITS form vehicular ad hoc networks (VANET) to exchange messages.
Sultan Ahmed Almalki   +2 more
doaj   +1 more source

Adaptive management model of the higher education system in the context of the transition to the digital economy

open access: yesМодернизация, инновация, развитие
Purpose: of the study is to develop an adaptive model of higher education system management in the context of digital transformation of the economy.
R. V. Khuriev, F. A. Mambetova
doaj   +1 more source

Multi-Step Short-Term Wind Speed Prediction Models Based on Adaptive Robust Decomposition Coupled with Deep Gated Recurrent Unit

open access: yesEnergies, 2022
Accurate wind speed prediction is a premise that guarantees the reliable operation of the power grid. This study presents a combined prediction model that integrates data preprocessing, cascade optimization, and deep learning prediction to improve ...
Kui Yang   +5 more
doaj   +1 more source

A Review on Adaptive Thermal Comfort of Office Building for Energy-Saving Building Design

open access: yesEnergies, 2023
The thermal environment quality of office buildings has an important role because thermal comfort is directly related to human productivity. Thermal comfort conditions are influenced by climate, location, and the built environment; hence, comfort ...
Prativa Lamsal   +2 more
doaj   +1 more source

Mixture-model adaptation for SMT [PDF]

open access: yesProceedings of the Second Workshop on Statistical Machine Translation - StatMT '07, 2007
We describe a mixture-model approach to adapting a Statistical Machine Translation System for new domains, using weights that depend on text distances to mixture components. We investigate a number of variants on this approach, including cross-domain versus dynamic adaptation; linear versus loglinear mixtures; language and translation model adaptation;
Foster, George, Kuhn, Roland
openaire   +3 more sources

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