Chloride permeability coefficient prediction of rubber concrete based on the improved machine learning technical: modelling and performance evaluation

X Huang, S Wang, T Lu, H Li, K Wu, W Deng - Polymers, 2023 - mdpi.com
The addition of rubber to concrete improves resistance to chloride ion attacks. Therefore,
rapidly determining the chloride permeability coefficient (DCI) of rubber concrete (RC) can …

Interval modeling of doha water treatment plant

VP Meena, A Anand, R Verma, M Khatri… - … Techniques for Smart …, 2022 - Springer
Parameter variations adversely affect the performance of the system. Many systems are
modeled as interval systems due to the ability to handle uncertainty. In this article, the Doha …

A review on automatic epilepsy detection from EEG signals

Satyender, SK Dhull, KK Singh - International Conference on Advanced …, 2019 - Springer
Epilepsy is a well-known neurological disorder which affects moreover 2% of the World's
population. Irregular excessive neuronal activities to the human brain cause epileptic …

Economic load dispatch problem using spider monkey optimisation algorithm

A Sharma, H Sharma, A Bhargava… - … Journal of Intelligent …, 2022 - inderscienceonline.com
The coal reserves are lessening, and subsequently fuel prices are escalating now a days.
Therefore, an appropriate schedule of generating units for thermal energy is indispensable …

Fully informed ABC algorithm for large scale job shop scheduling problem

K Sharma, PC Gupta - International Journal of Intelligent …, 2022 - inderscienceonline.com
The large-scale job-shop scheduling problem (LSJSSP) is a complex scheduling problem.
Previously, although the nature-inspired algorithm, specially the swarm intelligence (SIA) …

A review of 0-1 knapsack problem by nature-inspired optimisation algorithms

R Chauhan, N Sharma… - International Journal of …, 2024 - inderscienceonline.com
Nature is the origin of all knowledge. Researches have built nature-inspired optimisation
(NIO) algorithms, that follow natural principles to find solutions, for the real life problems. In …

Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods

A Golabi, A Erradi, H Qiblawey, A Tantawy… - Applied …, 2024 - Springer
The reverse osmosis (RO) process is a well-established desalination technology, wherein
energy-efficient techniques and advanced process control methods significantly reduce …

Forecasting time series data using moving-window swarm intelligence-optimised machine learning regression

NT Ngo, TTH Truong - International Journal of Intelligent …, 2019 - inderscienceonline.com
This study proposes a hybrid time series forecast model namely a moving-window firefly
algorithm (FA)-based least squares support vector regression (MFA-LSSVR). In the …

Path planning strategy for unmanned aerial vehicles based on a grey wolf optimiser

R Jarray, S Bouallègue - International Journal of Intelligent …, 2021 - inderscienceonline.com
The path planning problems for unmanned aerial vehicles (UAVs) can be considered as
large scale global optimisation (LSGO) problems. Collision-free and smoother flyable paths …

[PDF][PDF] Chaotic Whale Optimized Fractional Order PID Controller Design for Desalination Process.

F Kavin, R Senthilkumar - Computers, Materials & …, 2022 - pdfs.semanticscholar.org
The main aim of this work is to design a suitable Fractional Order Proportionl Integral
Derivative (FOPID) controller with Chaotic Whale Optimization Algorithm (CWOA) for a RO …