Results 221 to 230 of about 6,570,426 (256)
Penalized eigenvalue block averaging: Extension to nested model comparison and Monte Carlo evaluations. [PDF]
Foldnes N, Grønneberg S, Moss J.
europepmc +1 more source
TiO2/chlorophyll bio‐hybrid nanofluid achieved the highest PVT performance, increasing thermal efficiency to 38.74% and overall efficiency to 51.35%, compared with 35.96% and 48.45% for Al2O3/water and 27.77% and 40.18% for water. The results demonstrate the potential of bio‐hybrid nanofluids for high‐efficiency solar thermal energy conversion ...
Oluwaseyi Omotayo Alabi +2 more
wiley +1 more source
Simulation based new method for population variance using auxiliary information. [PDF]
Ahmadini AAH +5 more
europepmc +1 more source
GA‐optimized LSTM for full stress–strain curve prediction of high‐performance cementitious materials. Compression‐test data are preprocessed (cleaning, normalization, interpolation/standardization, and Savitzky–Golay smoothing). A Genetic Algorithm tunes LSTM hyperparameters, while a physics‐informed loss enforces stiffness, peak response ( σ max ...
Mahmoud AlJamal +7 more
wiley +1 more source
Genetic prediction with ARG-powered linear algebra. [PDF]
Lee H +4 more
europepmc +1 more source
Abstract Background Back pain and poor performance in horses are difficult to assess objectively and thoracolumbar flexion‐extension range of motion (FEROM) is not reliably evaluated by subjective observation alone. A handheld, smartphone‐based markerless computer vision system (RealHorse®; RH) may enable objective clinical and field‐based FEROM ...
Maria Rosendahl Christensen +5 more
wiley +1 more source
Thermo‐sonication parameters were optimized to maximize PPO inactivation while maintaining overall juice quality. ANFIS demonstrated superior predictive accuracy with higher R2 and lower RMSE compared to RSM. Further, the quality assessment of treated juice highlighted the potential of thermo‐sonication as a sustainable alternative to conventional ...
Sumaiya Fatima, Vivek Kumar
wiley +1 more source
A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley +1 more source
Covariate adjustment in randomized clinical trials: From general theory to practical insights. [PDF]
Bannick MS, Yi Y, Ye T.
europepmc +1 more source

