Results 91 to 100 of about 6,088,284 (323)

Design Hybrid ARO-SVR Analysis to Predict the Pile Bearing Capacity

Journal of Applied Science and Engineering
The assessment of the load-bearing capacity of piles holds significant importance in the design of pile foundations. This paper presents hybridized support vector regression (SVR) models by utilizing the Artificial Rabbit Optimization (ARO) and the Black
Yafan LIU, Wenjun MA
doaj   +1 more source

Neutrosophic Log-Gamma Distribution and its Applications to Industrial Growth [PDF]

Neutrosophic Sets and Systems
This study suggests a novel statistical distribution known as the neutrosophic loggamma distribution (NLGD) for analyzing the interval value data. The proposed distribution is derived from the transformation method, utilizing the approach of neutrosophic
Fuad S. Al-Duais
doaj   +1 more source

Semi-hierarchical based motion estimation algorithm for the dirac video encoder [PDF]

, 2008
Having fast and efficient motion estimation is crucial in today’s advance video compression technique since it determines the compression efficiency and the complexity of a video encoder.
Cosmas, J, Loo, KK, Tun, M
core  

Linked dimers of the AAA+ ATPase Msp1 reveal energetic demands and mechanistic plasticity for substrate extraction from lipid bilayers

FEBS Letters, EarlyView.
Cells must clear mislocalized or faulty proteins from membranes to survive. The AAA+ ATPase Msp1 performs this task, but dissecting how its six subunits work together is challenging. We engineered linked dimers with varied numbers of functional subunits to reveal how Msp1 subunits cooperate and use energy to extract proteins from the lipid bilayer ...
Deepika Gaur, Brian Acquaviva, Baylee A. Smith, Nathan Walker, Isabella Walter, Matthew L. Wohlever   +5 more
wiley   +1 more source

Confidence Regions for Steady-State Probabilities and Additive Functionals Based on a Single Sample Path of an Ergodic Markov Chain

Mathematics
Discrete, finite-state Markov chains are applied in many different fields. When a system is modeled as a discrete, finite-state Markov chain, the asymptotic properties of the system, such as the steady-state distribution, are often estimated based on a ...
Yann Vestring, Javad Tavakoli
doaj   +1 more source

Recent Duality Contributions in Production Economics

Journal of Agricultural and Resource Economics, 1995
This article is a limited assessment of the agricultural production economics literature since 1982 that resulted from dual modeling approaches.
C. Richard Shumway
doaj   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River

Engineering Applications of Computational Fluid Mechanics
Monitoring the quality of river water is of fundamental importance and needs to be taken into consideration when it comes to the research into the hydrological field.
Shuguang Li, Sultan Noman Qasem, Shahab S. Band, Rasoul Ameri, Hao-Ting Pai, Saeid Mehdizadeh   +5 more
doaj   +1 more source

Calibrated Weighting for Small Area Estimation

, 2005
Calibrated weighting methods for estimation of survey population characteristics are widely used. At the same time, model-based prediction methods for estimation of small area or domain characteristics are becoming increasingly popular.
Chambers, R. L.
core  

Parameter estimation in nonlinear stochastic differential equations

, 2000
We discuss the problem of parameter estimation in nonlinear stochastic differential equations based on sampled time series. A central message from the theory of integrating stochastic differential equations is that there exists in general two time scales,
Timmer, J.
core   +3 more sources