Results 11 to 20 of about 2,242,282 (346)

Action Prediction Based on Partial Video Observation via Context and Temporal Sequential Network With Deformable Convolution

open access: yesIEEE Access, 2020
Predicting activity motion form video is of great importance with multiple applications in computer vision. From the self-driving cars field to the health system, the earlier the anticipation the higher the classification probability success.
Keyang Cheng   +2 more
doaj   +1 more source

What’s in my fuel tank? Insights into beliefs and preferences for e-fuels and biofuels

open access: yesEnergy, Sustainability and Society, 2023
Background Alternative fuels made from biomass or CO2 and water using renewable energy can reduce CO2 and pollutant emissions compared to fossil-based mobility and thus support a transition to a more sustainable transport.
Anika Linzenich   +3 more
doaj   +1 more source

Task-Aware Feature Composition for Few-Shot Relation Classification

open access: yesApplied Sciences, 2022
Relation classification tends to struggle when training data are limited or when it needs to adapt to unseen categories. In such challenging scenarios, recent approaches employ the metric-learning framework to measure similarities between query and ...
Sinuo Deng   +4 more
doaj   +1 more source

Harmful or Beneficial to Humans and the Environment? An Empirical Study on the Social Acceptance and Risk Perception of CO2-Based Fuels

open access: yesFrontiers in Environmental Science, 2022
Risk analysis and assessment of toxic effects are important elements to be considered in the development of renewable fuels, such as CO2-based fuels made from CO2, water, and renewable energy. However, the successful introduction of CO2-based fuels could
Anika Linzenich   +6 more
doaj   +1 more source

On the perception and operationalization of risk perception [PDF]

open access: yesJudgment and Decision Making, 2008
We compare and critique two measures of risk perception. We suggest that a single question — “How risky is the situation?” — captures the concept of risk perception more accurately than the multiple-item measure used by Sitkin and Weingart (1995).
Yoav Ganzach   +3 more
doaj   +2 more sources

Performance bottleneck analysis and resource optimized distribution method for IoT cloud rendering computing system in cyber-enabled applications

open access: yesEURASIP Journal on Wireless Communications and Networking, 2019
This paper analyzes current cloud computing, cloud rendering industry, and related businesses. In this field, cloud system performance lacks unified evaluation criterion. A novel analysis method and a related measure of cloud rendering system performance
Ronghe Wang   +8 more
doaj   +1 more source

A Model of Text-Enhanced Knowledge Graph Representation Learning With Mutual Attention

open access: yesIEEE Access, 2020
Recently, it has gained lots of interests to jointly learn the embeddings of knowledge graph (KG) and text information. However, previous work fails to incorporate the complex structural signals (from structure representation) and semantic signals (from ...
Yashen Wang   +4 more
doaj   +1 more source

Association of Mothers' Perception of Neighborhood Quality and Maternal Resilience with Risk of Preterm Birth. [PDF]

open access: yes, 2015
We examined the associations of mothers' perception of neighborhood quality and maternal resilience with risk of preterm birth and whether maternal resilience moderated the effect of neighborhood quality perception.
Bhatia, Namrata   +4 more
core   +2 more sources

Risk perception of antimicrobial resistance by infection control specialists in Europe: a case-vignette study [PDF]

open access: yes, 2020
Background Using case-vignettes, we assessed the perception of European infection control (IC) specialists regarding the individual and collective risk associated with antimicrobial resistance (AMR) among inpatients.
Ahmad, R.   +5 more
core   +1 more source

Whole and Part Adaptive Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition

open access: yesSensors, 2020
Spatiotemporal graph convolution has made significant progress in skeleton-based action recognition in recent years. Most of the existing graph convolution methods take all the joints of the human skeleton as the overall modeling graph, ignoring the ...
Qi Zuo   +5 more
doaj   +1 more source

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