Results 141 to 150 of about 2,083,678 (291)
Socioeconomic impacts of climate-related migration: The case of Bangladesh. [PDF]
Sánchez-Serrano M +3 more
europepmc +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Digital deepening and carbon outcomes in China's production network using an integrated framework combining decoupling and decomposition analyses with probabilistic STIRPAT projections. [PDF]
Huang Y, Li X, Matsumoto K.
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Did Australian policy prepare for a harmful algal bloom with significant human health impacts? Analysis and lessons from South Australia. [PDF]
Baum F +5 more
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
Aesthetic Profiling and Exploratory Composting Screening of Wood-Fiber Biocomposites Bonded with Spent Coffee Grounds and Ammonium Lignosulfonate. [PDF]
Kostadinova-Slaveva A +7 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
Pathways for Ukraine's post-war nature recovery: Focus on forest socio-ecological systems. [PDF]
Melnykovych M +15 more
europepmc +1 more source

