Results 31 to 40 of about 5,202,137 (253)
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring Scheme
In this article, we consider estimation of the parameters of a generalized Pareto distribution and some lifetime indices such as those relating to reliability and hazard rate functions when the failure data are progressive first-failure censored.
Rashad M. El-Sagheer +2 more
doaj +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
On Generalized Inverse Pareto Family of Distributions: Properties and Applications
In this paper, we propose new families of generalized inverse Pareto distributions using the T-R{Y} framework. Several choices of the distributions for the random variables T and Y give rise to generalized families of the random variable R, which in this
Nirajan Budhathoki, Felix Famoye
doaj +1 more source
A New Extended Kumaraswamy Generalized Pareto Distribution With Rainfall Application
In this paper, we introduce a new form of Generalized Pareto (GP) distribution which is an extension of Kumaraswamy generalized Pareto (KumGP) distribution based on KM transformation, referred to as KMKGP distribution.
Natthinee Deetae +2 more
doaj +1 more source
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu +12 more
wiley +1 more source
Parameter Estimation Based on Cumulative Kullback–Leibler Divergence
In this paper, we propose some estimators for the parameters of a statistical model based on Kullback–Leibler divergence of the survival function in continuous setting and apply it to type I censored data.
Yaser Mehrali , Majid Asadi
doaj +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Marshall-Olkin Generalized Pareto Distribution: Bayesian and Non Bayesian Estimation
A new generalization of generalized Pareto Distribution is obtained using the generator Marshall-Olkin distribution (1997). The new distribution MOGP is more flexible and can be used to model non-monotonic failure rate functions.
Haj AHmad, Hanan, Almetwally, Ehab
core +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source

