Results 231 to 240 of about 130,982 (288)

Quantifying Model Selection Uncertainty in Structural Analysis: Methodology and Application

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT With increasing focus on complex engineering systems under rare events, computational models are critical for predictions due to the scarcity or absence of data. However, selecting an appropriate model can be challenging. Using a single model without available test calibration could result in significant bias in performance predictions. A case
Ya‐Heng Yang, Tracy C. Becker
wiley   +1 more source

Integrated Flue‐Gas Heat Recovery for Optimized Steam and Power Generation Using Organic Rankine Cycle (ORC): A Technical and Economic Assessment

open access: yesEnergy Science &Engineering, EarlyView.
Integration of a steam cycle with an existing gas turbine increased efficiency from 32% to 51%, reducing fuel consumption by 21.4% and CO2 emissions by 18.6%. The modification generated USD 13.9 million annual savings and lowered the Levelized Cost of Energy to 38.7 USD/MWh, with a 3‐year payback.
Vahid Pirouzfar   +2 more
wiley   +1 more source

Efficiency of Learned Indexes on Genome Spectra. [PDF]

open access: yesLebniz Int Proc Inform
Abrar MH, Medvedev P, Vinciguerra G.
europepmc   +1 more source

Environmental Thermoeconomic Performance Analysis of Gas Steam Combined Cycle With Different Inlet Air Cooling Technologies

open access: yesEnergy Science &Engineering, EarlyView.
This study establishes an environmental thermoeconomic cost model to investigate the impact of two IAC technologies on the performance of a GSCC from three aspects of energy, economy, and environment. Under arid climate conditions, the SEC technology demonstrates superior performance in terms of cost‐effectiveness and environmental impact.
Zhen Wang, Li Zhang, Yu Ni, Liqiang Duan
wiley   +1 more source

A toolbox for microvalve-based bioprinting. [PDF]

open access: yesBiofabrication
Derman ID   +6 more
europepmc   +1 more source

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

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