Results 221 to 230 of about 18,040 (302)

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Analysis, control, and forecasting the dynamics of SIRD models with saturated treatment and nonlinear incidence. [PDF]

Sci Rep
Elsonbaty A, Ramaswamy R, Padmaja S, Teklu SW, Abdelkawy MA, El-Mesady A.   +5 more
europepmc   +1 more source

Recovery Factor of Pure Helium Injection in Depleted Gas Reservoirs and Its Influencing Factors

Energy Science &Engineering, EarlyView.
This study employs compositional numerical simulation to systematically investigate the effects of injection rate, production rate, storage duration, and injection‐production scheme on pure helium recovery in depleted gas reservoirs. Low injection rates reduce viscous fingering while high production rates maximize near‐wellbore helium extraction ...
Shijie Zhu, Danlin Chen, Yang Wang, Zuping Xiang, Zhijun Li, Mengna Yang, Da Li   +6 more
wiley   +1 more source

From simultaneous to leader-follower play in direct reciprocity. [PDF]

PNAS Nexus
LaPorte P, Pracher L, Pal S.
europepmc   +1 more source

Nonlinear Analysis and Estimation of Dynamic Stochastic General Equilibrium Models

Nonlinear Analysis and Estimation of Dynamic Stochastic General Equilibrium Models
論文審査委員: LEON GONZALEZ Roberto（主査）, 藤本 淳一, 松本 英彦, Gianni Amisano （Assistant Director and Chief of the Current Macroeconomic section, Division of Research and Statistics, Board of Governors of the Federal Reserve System）, 隅藏 康一 application/PDF 政策分析プログラム / Policy Analysis ...
openaire  

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source

Particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networks. [PDF]

Sci Rep
Imran M, Ibrahim K, Zhiwen P, Nan L, Qahmash A, Atteia G, Akram T.   +6 more
europepmc   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

e3SIM: Epidemiological-ecological-evolutionary simulation framework for genomic epidemiology. [PDF]

Methods Ecol Evol
Xu P, Liang S, Hahn A, Zhao V, Lo WT', Haller BC, Sobkowiak B, Chitwood MH, Colijn C, Cohen T, Rhee KY, Messer PW, Wells MT, Clark AG, Kim J.   +14 more
europepmc   +1 more source

DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning

Journal of Forecasting, EarlyView.
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley   +1 more source