Results 51 to 60 of about 22,506 (217)
Proposal for Prioritizing the Retrofitting of Residential Buildings in Energy Poverty Circumstances
Environmental and Climate Technologies, 2020 The energy poverty derived from socio-economic imbalances affects mostly households with fewer economic resources, being social housing complexes one of the most vulnerable sectors.
Perez-Bezos Silvia +2 more
doaj +1 more source
Traditional &Kampo Medicine, Volume 13, Issue 1, April 2026.ABSTRACT Background Nine young researchers presented their studies in the field of traditional Japanese Kampo medicine (Wakan‐yaku) at the Sixth Annual Young Researcher Forum held the day before the 2025 annual meeting of the Japan Society of Medical and Pharmaceutical Sciences for Traditional Medicine. Main Presentations Dr.
Tetsuhiro Yoshino +14 more
wiley +1 more source
A Probabilistic Logic Programming Event Calculus
, 2013 We present a system for recognising human activity given a symbolic representation of video content. The input of our system is a set of time-stamped short-term activities (STA) detected on video frames.
ALEXANDER ARTIKIS +27 more
core +1 more source
KILLJOY POETICS IN ANTJE RÁVIK STRUBEL'S BLAUE FRAU (2021)
German Life and Letters, Volume 79, Issue 2, Page 217-242, April 2026.Abstract Drawing on Sara Ahmed's concept of killjoy activism, I explore how Antje Rávik Strubel's Blaue Frau employs a killjoy poetics that refuses to brush over violence, asymmetry, injury and force. Instead, the novel intervenes in affective textures of happiness and reconciliation, and forms activist and ecological networks of resistance. I build on
Alrik Daldrup
wiley +1 more source
Automatic Parameter Adaptation for Multi-object Tracking [PDF]
, 2013 Object tracking quality usually depends on video context (e.g. object occlusion level, object density). In order to decrease this dependency, this paper presents a learning approach to adapt the tracker parameters to the context variations. In an offline
Bremond, François +2 more
core +4 more sources
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Forecasting Value-at-Risk Using Nonlinear Regression Quantiles and the Intraday Range [PDF]
Value-at-Risk (VaR) is commonly used for financial risk measurement. It has recently become even more important, especially during the 2008-09 global financial crisis.
Chen, C.W.S. +3 more
core +4 more sources
Environmental and Climate Technologies, 2020 This paper reports the indoor air operative temperature and relative humidity outcomes of a sixteen-month monitoring campaign of an administrative area in an industrial building in Tolosa (Spain).
Rodriguez Vidal Iñigo +2 more
doaj +1 more source
, 2013 The 2013 Planetary Science Decadal Survey identified a detailed investigation of the Trojan asteroids occupying Jupiter's L4 and L5 Lagrange points as a priority for future NASA missions.
Balcerski, Jeffrey +18 more
core +1 more source