Results 101 to 110 of about 12,230 (257)

Novel Strategy to Improve the Performance of Localization in WSN

The Scientific World Journal, 2015
A novel strategy of discrete energy consumption model for WSN based on quasi Monte Carlo and crude Monte Carlo method is developed. In our model the discrete hidden Markov process plays a major role in analyzing the node location in heterogeneous media ...
M. Vasim Babu, A. V. Ramprasad
doaj   +1 more source

Sustainable and Resilient Supply Networks: Digitalisation, Regulation and Climate Vulnerability in a Global Context

Business Strategy and the Environment, EarlyView.
ABSTRACT The growing frequency of global crises has intensified concerns regarding climate vulnerability and the resilience of global production systems. This study examines the heterogeneous effects of supply chain development and supply chain digitalisation on climate vulnerability across countries, while accounting for institutional and investment ...
Ziwei Li, Zhi Zhan, Kingsley Imandojemu, Romanus Osabohien, Damilola Felix Eluyela   +4 more
wiley   +1 more source

An Efficient Quasi-Monte Carlo Algorithm for High Dimensional Numerical Integration

Mathematics
In this paper, we develop a fast numerical algorithm, termed MDI-LR, for the efficient implementation of quasi-Monte Carlo lattice rules in computing d-dimensional integrals of a given function. The algorithm is based on converting the underlying lattice
Huicong Zhong, Xiaobing Feng
doaj   +1 more source

Error Estimation for Quasi-Monte Carlo

Quasi-Monte Carlo sampling can attain far better accuracy than plain Monte Carlo sampling. However, with plain Monte Carlo sampling it is much easier to estimate the attained accuracy. This article describes methods old and new to quantify the error in quasi-Monte Carlo estimates.
openaire   +2 more sources

Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells

Carbon Energy, EarlyView.
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood, Yuanyuan Qin, Abdul Sattar, Rabeea Eman, Faheem Abbas, Shan Wu, Yipeng Xu, Xu Zheng, Jiangying Lu, Wei Jiang, Jiankai Liu, Shudi Lu, Shizhong Yue, Zhijie Wang, Kong Liu, Xiaopeng Zheng, Shengchun Qu   +16 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Asymptotic properties of cross‐classified sampling designs

Canadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

RPEM: Randomized Monte Carlo parametric expectation maximization algorithm

CPT: Pharmacometrics & Systems Pharmacology
Inspired from quantum Monte Carlo, by sampling discrete and continuous variables at the same time using the Metropolis–Hastings algorithm, we present a novel, fast, and accurate high performance Monte Carlo Parametric Expectation Maximization (MCPEM ...
Rong Chen, Alan Schumitzky, Alona Kryshchenko, Keith Nieforth, Michael Tomashevskiy, Shuhua Hu, Romain Garreau, Julian Otalvaro, Walter Yamada, Michael N. Neely   +9 more
doaj   +1 more source

Developing Sustainable Innovations for Planet, Profits—And People: Mixed‐Methods Insights From the Textile Industry

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Sustainable innovations are increasingly recognized as promising avenues for businesses to tackle global sustainability challenges, expected to deliver ecological, social, and economic benefits. Yet social outcomes at the individual level remain underexplored, raising questions about whether such innovations fully realize their sustainability ...
Lisa Hollands, Celine Bökemeyer, Luca Haensse, Nick Lin‐Hi   +3 more
wiley   +1 more source

First- and quasi-second-order optimization algorithms in variational Monte Carlo

Physical Review Research
Many quantum many-body wavefunctions, such as Jastrow-Slater, tensor network, and neural quantum states, are studied with the variational Monte Carlo technique, where stochastic optimization is usually performed to obtain a faithful approximation to the ...
Ruojing Peng, Garnet Kin-Lic Chan
doaj   +1 more source