Results 11 to 20 of about 642,399 (249)
IEEE 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
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What’s in my fuel tank? Insights into beliefs and preferences for e-fuels and biofuels
Energy, 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
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Task-Aware Feature Composition for Few-Shot Relation Classification
Applied 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
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Frontiers 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
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EURASIP 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
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On the perception and operationalization of risk perception [PDF]
Judgment 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
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A Model of Text-Enhanced Knowledge Graph Representation Learning With Mutual Attention
IEEE 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
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Whole and Part Adaptive Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
Sensors, 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
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AGRICULTURAL RISK AND ITS PERCEPTION AMONG PROTEIN PLANT FARMERS [PDF]
Annals of the Polish Association of Agricultural and Agribusiness Economists, 2019 As farmers are exposed to risk and uncertainty, they are unable to make optimal choices. The main purpose of this paper was to present how farmers perceive risk in agriculture.To meet the objective defined above, this paper relied on the results of a ...
Magdalena Śmiglak-Krajewska
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