[HTML][HTML] Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey
By amalgamating recent communication and control technologies, computing and data
analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyber …
analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyber …
Portfolio optimization of electricity markets participation using forecasting error in risk formulation
Recent changes in the energy sector are increasing the importance of portfolio optimization
for market participation. Although the portfolio optimization problem is most popular in …
for market participation. Although the portfolio optimization problem is most popular in …
Robust cooperative planning of relief logistics operations under demand uncertainty: a case study on a possible earthquake in Tehran
F Akbari, J Valizadeh… - International Journal of …, 2022 - Taylor & Francis
Nowadays, the study of disasters such as earthquakes and their consequences, specifically
in metropolises such as Tehran, has attracted significant attention. Allocating relief goods to …
in metropolises such as Tehran, has attracted significant attention. Allocating relief goods to …
Genetic algorithm optimized robust nonlinear observer for a wind turbine system based on permanent magnet synchronous generator
This paper presents an optimal control scheme for a Permanent Magnet Synchronous
Generator (PMSG) coupled to a wind turbine operating without a position sensor. This …
Generator (PMSG) coupled to a wind turbine operating without a position sensor. This …
Nature-Inspired Feature Selection Algorithms: A Study
D Mahalakshmi, SAA Balamurugan… - … : Proceedings of ICSCN …, 2022 - Springer
In this digital era, the amount of data generated by various functions has increased
dramatically with each row and column; this has a negative impact on analytics and will …
dramatically with each row and column; this has a negative impact on analytics and will …
Reconstructing the Magnetic Field in an Arbitrary Domain via Data-driven Bayesian Methods and Numerical Simulations
Inverse problems are prevalent in numerous scientific and engineering disciplines, where
the objective is to determine unknown parameters within a physical system using indirect …
the objective is to determine unknown parameters within a physical system using indirect …
Analysing the Impact of Engine Size on CO2 Emissions in Five-Seater Vehicles Using Machine Learning Techniques
AS Cristaudi, M Maphosa - International Conference on Intelligent …, 2024 - mauricon.org
The release of carbon emissions into the atmosphere has a negative impact on the
environment. Carbon emissions are considered a significant factor in global warming. These …
environment. Carbon emissions are considered a significant factor in global warming. These …
[PDF][PDF] Modeling and optimization of weld residual stresses using neuro regression analysis
Welding is a reliable procedure used to join the same and different types of materials.
Residual stress resulting from local heating and subsequent rapid cooling during welding …
Residual stress resulting from local heating and subsequent rapid cooling during welding …
Application of Machine Learning for Optimization
This chapter reviews the literature on machine learning and presents regularly used
machine learning algorithms in an optimization framework. The interaction between learning …
machine learning algorithms in an optimization framework. The interaction between learning …
A Hybrid Agent-Oriented Stochastic Diffusion Search and Beam Search Architecture
Various swarm intelligence-based algorithms have been developed and explored over the
years. These algorithms include particle swarm optimisation, spider monkey optimisation …
years. These algorithms include particle swarm optimisation, spider monkey optimisation …