Search Results - (( java adaptation optimization algorithm ) OR ( model visualization swarm algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
2
3D virtual modelling and stabilization control of triple links inverted pendulum on two-wheeled system using enhanced interval type-2 fuzzy logic control
Published 2020“…Two optimization algorithms are presented in this work which are Spiral Dynamic Algorithm (SDA) and Particle Swarm Optimization (PSO). …”
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Thesis -
3
ENGINEERING DESIGN WITH PSO ALGORITHM
Published 2019“…The motive of this dissertation is to utilize Particle Swarm Optimisation (PSO) algorithm on engineering design in the effort of improving design robustness and tolerance with manufacturing. …”
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Final Year Project -
4
Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy
Published 2024“…Advancing multi-objective optimization techniques for cancer treatment strategies, the study strategically incorporates Swarm Intelligence (SI) and Evolutionary Algorithms (EA). …”
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Thesis -
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…The second objective is to design an efficient CNN with Particle Swarm Optimization (PSO) model for high-density impulse noise removal. …”
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Thesis -
7
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Thesis -
8
In silico approaches for unearthing bacterial quorum-sensing inhibitors against pathogenic bacteria
Published 2019“…Thus, certain group of researchers also developed machine learning tools based on support vector machine (SVM) and hidden Markov models (HMM) for the identification of novel and effective biofilm inhibitory peptides (BIPs), while others used in silico approaches for predicting and designing of antibiofilm peptides usingbidirectional recursive neural network (BRNN) and Random Forest (RF) algorithms. …”
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