Results 151 to 160 of about 8,520 (262)
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
The Bias-and-Expertise Model: A Bayesian Network Model of Political Source Characteristics. [PDF]
Young DJ, de-Wit LH.
europepmc +1 more source
KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li +4 more
wiley +1 more source
The desire to avoid cognitive dissonance drives community formation in a social network model. [PDF]
Kovács Z, Palla G, Zafeiris A.
europepmc +1 more source
Countering Authoritarian Behavior in Democracies. [PDF]
Hobolt SB, Osnabrügge M.
europepmc +1 more source
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
High risk of political bias in black box emotion inference models. [PDF]
Plisiecki H +3 more
europepmc +1 more source
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
Who decides who goes first? Taking democracy seriously in micro-allocative healthcare decisions. [PDF]
Battisti D, Mannelli C.
europepmc +1 more source

