Results 201 to 210 of about 9,721,388 (323)

Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion

Advanced Sustainable Systems, EarlyView.
This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar, Parmod Kumar, Kuljeet Singh Grewal   +2 more
wiley   +1 more source

Analytical Description of Nanowires: Morphing Wurtzite Structure Cross Sections to Match Arbitrary Convex Shapes

Advanced Theory and Simulations, EarlyView.
Analytic morphing of wurtzite nanowire cross sections to arbitrary shapes yields numbers of nanowire atoms, of bonds between these and of nanowire interface bonds, plus the nanowire cross section area. The ratios of above variables help to interpret any spectroscopic nanowire data which depend on diameter and cross section shape, and can be applied to ...
Dirk König, Sean C. Smith
wiley   +1 more source

Information Hiding Capacities in Multiple Antennas Channel Coding System

, 2011
Liquan Chen, Miao Lu
openalex   +1 more source

Information hiding scheme for digital images using difference expansion and modulus function

Journal of King Saud University: Computer and Information Sciences, 2018
Pascal Maniriho, T. Ahmad
semanticscholar   +1 more source

A Meta‐Model for The Design of Soft Pneumatic Actuators Using Neural Networks and Finite Element Analysis

Advanced Theory and Simulations, EarlyView.
Data is generated from finite element simulations and an encoding using a Moore domain. The data is then used to train a meta‐model to predict the soft unit's deformation state depending on its chamber shape and properties as well as the surrounding environment.
Philip Frederik Ligthart, Martin Philip Venter   +1 more
wiley   +1 more source

Information hiding with adaptive steganography based on novel fuzzy edge identification

Defence Technology, 2019
Sanjeev Kumar, Amarpal Singh, M. Kumar
semanticscholar   +1 more source

SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes

Advanced Theory and Simulations, EarlyView.
The hybrid SyMO (Symbolic regression Multi‐objective Optimization) framework combines Computational Fluid Dynamics (CFD), machine learning, and mathematical optimization techniques to investigate the effects of various process parameters, furnace geometries, and radiation shield material properties on key crystal quality metrics in Czochralski silicon (
Milena Petkovic, Natasha Dropka
wiley   +1 more source

Hiding Information in a Stream Control Transmission Protocol

, 2011
Wojciech Frączek, Wojciech Mazurczyk, Krzysztof Szczypiorski   +2 more
openalex   +2 more sources

Wave Propagation Approaches for Design Optimization of Asymmetric Double‐Layer Gold Gratings: Logic‐ and Learning‐Based Perspectives

Advanced Theory and Simulations, EarlyView.
This study presents a wave propagation‐based optimization strategy for asymmetric double‐layer Au gratings to improve infrared polarization selectivity. A logic‐based method efficiently determines single‐wavelength structures through analytical modeling, while a learning‐based approach utilizing an explainable neural network enables broadband ...
Ryuna Kang, Jehwan Hwang, Jun Oh Kim, Zahyun Ku, Yunsang Kwak   +4 more
wiley   +1 more source

Comparison among information hiding methods in DNA Sequences

, 2011

openalex   +1 more source