Results 121 to 130 of about 876,447 (311)
Role of Wadsley Defects and Cation Disorder to Enhance MoNb12O33 Diffusion
Advanced Energy Materials, EarlyView.Wadsley‐Roth niobates are high‐rate capable and durable anode materials for lithium‐ion batteries. Defect‐tailoring of MoNb12O33 is shown to substantially enhance lithium diffusion. Computational models were used to separate the effects of cation disorder and Wadsley defects to identify that both led to the occupation of fast diffusion sites at lower ...
CJ Sturgill +10 more
wiley +1 more source
AIChE Journal, EarlyView.Abstract Air separation via selective adsorption using porous adsorbents offers energy‐efficient alternatives to cryogenic distillation for producing high‐purity O2 and N2. Adsorbent efficacy depends on balancing selectivity, durability, and performance consistency across varying conditions. This comprehensive review critically discusses the design and
Tianqi Wang +9 more
wiley +1 more source
Weighting and imputation comparison in small area estimation
Lietuvos Matematikos Rinkinys, 2010 In this paper, different methods of nonresponse adjustment for the totals of small area domains are examined. To improve quality of estimations linear model with random parameters at domain level is used.
Vilma Nekrašaitė-Liegė
doaj +1 more source
Group Importance Sampling for Particle Filtering and MCMC
, 2018 Bayesian methods and their implementations by means of sophisticated Monte Carlo techniques have become very popular in signal processing over the last years.
Camps-Valls, G., Elvira, V., Martino, L.
core
Nonasymptotic analysis of adaptive and annealed Feynman-Kac particle models
, 2016 Sequential and quantum Monte Carlo methods, as well as genetic type search algorithms can be interpreted as a mean field and interacting particle approximations of Feynman-Kac models in distribution spaces. The performance of these population Monte Carlo
Del Moral, Pierre, Giraud, François
core +3 more sources
Advanced Intelligent Discovery, EarlyView.This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
Use of statistical simulation in construction planning
MATEC Web of Conferences, 2017 In this paper, the researchers propose taking into account construction equipment recovery time to estimate the time consumption of construction and installation works. Post-failure recovery time can be modeled using Monte-Carlo simulation.
Rogovenko Tatyana, Zaitseva Marina
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Advanced Intelligent Systems, EarlyView.Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Coevolution Based Adaptive Monte Carlo Localization (CEAMCL)
International Journal of Advanced Robotic Systems, 2004 An adaptive Monte Carlo localization algorithm based on coevolution mechanism of ecological species is proposed. Samples are clustered into species, each of which represents a hypothesis of the robot's pose.
Luo Ronghua, Hong Bingrong
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A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation [PDF]
, 2014 Rodent hippocampal population codes represent important spatial information about the environment during navigation. Several computational methods have been developed to uncover the neural representation of spatial topology embedded in rodent hippocampal
Chen, Zhe +3 more
core +2 more sources