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Lasso Model-Based Optimization of CNC/CNF/rGO Nanocomposites
Ghazaleh Ramezani
, Ixchel Ocampo Silva
, Ion Stiharu
, Theo G.M.van de Ven
,
Vahe Nerguizian
École de technologie supérieure
Electrical Engineering Department
LACIME - Communications and Microelectronics Integration Laboratory
Concordia University
Instituto Tecnologico de Estudios Superiores de Monterrey
McGill University
Research output
:
Contribution to journal
›
Journal Article
›
peer-review
2
Citations (Scopus)
Overview
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Keyphrases
Model Optimization
100%
Citric Acid
100%
Least Absolute Shrinkage and Selection Operator (LASSO)
100%
Ascorbic Acid
100%
RGO Nanocomposite
100%
Mechanical Properties
50%
Neural Network
50%
Biomedical Applications
50%
Long-term Stability
50%
Performance Prediction
50%
Material Properties
50%
Reducing Agent
50%
Neural Network Model
50%
Regression Model
50%
Modeling Techniques
50%
Optimization Framework
50%
Hidden Layer
50%
Advanced Models
50%
R2 Value
50%
High Mechanical Stability
50%
Electrical Conductivity Properties
50%
Smart Packaging
50%
Multifunctional Materials
50%
Flexible Electronics
50%
Reduction Efficiency
50%
Packaging Applications
50%
Advanced Optimization
50%
Machine Learning Optimization
50%
Stability Modeling
50%
Material Tailoring
50%
LASSO Model
50%
Enhanced Electrical Conductivity
50%
Engineering
Nanocomposite
100%
Carbon Nanofibre
100%
Least Absolute Shrinkage and Selection Operator
100%
Electrical Conductivity
66%
Learning System
33%
Biomedical Application
33%
Term Stability
33%
Network Model
33%
Hidden Layer
33%
Mechanical Stability
33%
Flexible Electronics
33%
Chemical Engineering
Carbon Nanofibre
100%
Neural Network
66%
Citric Acid
66%
Ascorbic Acid
66%
Learning System
33%
Scalability
33%
Material Science
Nanocomposite
100%
Carbon Nanofiber
100%
Electrical Conductivity
66%
Materials Property
33%
Reducing Agent
33%
Mechanical Stability
33%