Results 41 to 50 of about 161,383 (266)

PENGGUNAAN SIMULASI MONTE CARLO DALAM ESTIMASI VALUE AT RISK (VaR) PORTOFOLIO YANG DIBENTUK DARI INDEKS HARGA SAHAM MULTINASIONAL

open access: yesE-Jurnal Matematika, 2022
Investment is buying an asset that is expected in the future can be resold and get a high profit value. There are two factors that must be considered when you want to invest in stocks, namely the rate of return on stocks and risk factors.
NABILA NUR JANNAH   +2 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Monte Carlo Method with Heuristic Adjustment for Irregularly Shaped Food Product Volume Measurement

open access: yesThe Scientific World Journal, 2014
Volume measurement plays an important role in the production and processing of food products. Various methods have been proposed to measure the volume of food products with irregular shapes based on 3D reconstruction.
Joko Siswantoro   +3 more
doaj   +1 more source

A comparative study between Classical Numerical Methods and Monte Carlo Methods [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2008
Recently, there is a great interest in the methods of Monte Carlo used for the treatment of different technical and scientific issues. This research deals with using the Monte Carlo methods in numerical integration by making a general comparison between
doaj   +1 more source

An Efficient Anti-Optimization Approach for Uncertainty Analysis in Composite Laminates

open access: yesMaterials Research, 2021
This work presents an efficient approach to quantify uncertainties in composite laminates using the interval analysis, anti-optimization technique, and the α-cut procedure.
Pedro Bührer Santana   +2 more
doaj   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

open access: yesAdvanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele   +2 more
wiley   +1 more source

A top-down iteration algorithm for Monte Carlo method for probability estimation of a fault tree with circular logic

open access: yesNuclear Engineering and Technology, 2018
Calculating minimal cut sets is a typical quantification method used to evaluate the top event probability for a fault tree. If minimal cut sets cannot be calculated or if the accuracy of the quantification result is in doubt, the Monte Carlo method can ...
Sang Hoon Han
doaj   +1 more source

Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes

open access: yesAdvanced Functional Materials, EarlyView.
Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu   +13 more
wiley   +1 more source

Optimized monte carlo methods [PDF]

open access: yes, 2008
I discuss optimized data analysis and Monte Carlo methods. Reweighting methods are discussed through examples, like Lee-Yang zeroes in the Ising model and the absence of deconfinement in QCD. I discuss reweighted data analysis and multi-hystogramming. I introduce Simulated Tempering, and as an example its application to the Random Field Ising Model.
openaire   +2 more sources

Exciton Binding Energy of Phosphorescent Emitter Molecules in Organic Light‐Emitting Diodes

open access: yesAdvanced Functional Materials, EarlyView.
Energy level alignment is key to efficient OLED design, yet determining LUMO energies remains challenging. A methodology based on field‐induced dissociation and kinetic Monte Carlo simulations is presented to extract LUMO energies of iridium‐based phosphorescent emitters from their exciton binding energy.
Hiroki Tomita   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy