Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network حسب Mohammad Reza Chalak Qazani (13893261)

"…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …"

Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils حسب Alireza Namadmalan (16864236)

"…<p>This paper presents a design optimization algorithm for series-series compensated Inductive Power Transfer (IPT) system based on flat spiral coils, considering bifurcation phenomenon and AC equivalent resistance of the coils. …"

EV Charging Coordination in Blockchain-Based Energy Markets حسب Mohammed, Mahdi Ali

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ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation حسب Said Mahfoud (17150968)

"…The best solutions adopted in this situation are often based on optimization algorithms that generate the controller’s gains in each period where there is an internal or external perturbation, adapting the behaviors of the PID against the system’s nonlinearity. …"

Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks حسب Islambouli, Rania

"…We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. …"
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Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System حسب Alaa Altawallbeh (22565837)

"…We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …"

Reinforcement Learning-Based School Energy Management System حسب Yassine Chemingui (18891757)

Scatter search for protein structure prediction. (c2008) حسب Kehyayan, Christine Houry

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Wrapper-Based Feature Selection to Classify Flatfoot Disease حسب Casas-Ordaz, Angel

"…This task is considered from an optimization perspective, and the optimal subset is chosen using metaheuristic algorithms. …"
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Wrapper-Based Feature Selection to Classify Flatfoot Disease حسب Casas-Ordaz, Angel

"…This task is considered from an optimization perspective, and the optimal subset is chosen using metaheuristic algorithms. …"
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Autonomous Robot Navigation Based On Recurrent Neural Networks حسب Al-Sagban, Mariam Qusai

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AI-driven nonlinear optimization for knowledge extraction and pattern analysis in IoT-enabled data mining systems حسب Alimjon, Dadamuxamedov

"…In this paper, systematic exploration of the application of AI-based nonlinear optimization to elicit knowledge and pattern study in the IoT-enabled data mining takes place. …"
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Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

"…The results demonstrate that the suggested RF-ANN-based technique can predict the optimal composite design with high accuracy (precision, recall, and f1-score for test and train dataset were 1). …"

A Novel Centrality-Based Approach for Link Prediction حسب El Khoury, Elissa Lichaa

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Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach حسب Mohammad Taghi Dabiri (16904658)

"…Then, using geometrical analysis and deep reinforcement learning (RL) method, we propose several algorithms to find the optimal trajectory and select an optimal pattern during the trajectory. …"

A cluster-based model for QoS-OLSR protocol حسب Otrok, Hadi

"…Therefore, we propose a novel clustering algorithm and a relay node selection based on different combinations of metrics, such as connectivity, residual energy, and bandwidth. …"
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Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier حسب JAIN, SWETA

"…The hyper parameters are optimized with DM optimization algorithm which improves the accuracy of classifier. …"
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Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy حسب Haitao Xu (435549)

"…The complex gas hydrate prevention unit is simulated using the MLPNN model trained by 20 different optimization algorithms. This study investigates the gradient-based, evolutionary, and Bayesian-based optimization algorithms. …"

Hybridizing rule-based power system stabilizers with geneticalgorithms حسب Abido, M.A.

"…The proposed approach uses genetic algorithms (GA) to search for optimal settings of rule-based power system stabilizer (RBPSS) parameters. …"
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Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

"…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …"
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