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monkey optimization » monkey optimizations (Expand Search), policy optimization (Expand Search), motor optimization (Expand Search)
monkey optimization » monkey optimizations (Expand Search), policy optimization (Expand Search), motor optimization (Expand Search)
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341
A cluster-based model for QoS-OLSR protocol
Published 2017“…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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conferenceObject -
342
Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle
Published 2025“…In addition to the deployment without requiring an explicit model of the plant, the simulation results demonstrate that the proposed solution modifies vehicle dynamics and maneuverability in most cases compared to the model-based conventional controller. Furthermore, the reduction in sideslip angle, excellent traction through minimizing tire slip ratio, avoiding oversteering and understeering, and maintaining an acceptable range of energy optimization are demonstrated for DRL controllers, especially for the TD3 and CL TD3 algorithms.…”
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343
Artificial intelligence–empowered digital twins for simulation-driven security, privacy, and resiliency optimization in 6G networks
Published 2025“…In this survey, the Digital Twin frameworks based on AI are thoroughly revised in terms of improving the security, privacy, and resiliency of 6G networks, with a specific focus on Digital Twin modelling and prediction algorithms, such as, graph-based, temporal, and representation learning algorithms. …”
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344
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
Published 2023“…The hyper parameters are optimized with DM optimization algorithm which improves the accuracy of classifier. …”
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345
Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
Published 2024“…In this article, we propose two new optimization algorithms based on the moth-flame optimization algorithm (MFO), which mimics moths’ special navigation methods at night. …”
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346
Coordinated design of robust excitation and TCSC-based damping controllers
Published 2003“…The real-coded genetic algorithm (RCGA) is employed to search for optimal controller parameters. …”
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347
FPGA-Based Network Traffic Classification Using Machine Learning
Published 2020“…Classification approaches based on machine learning techniques have shown promising results with high levels of accuracy. …”
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348
FPGA-Based Network Traffic Classification Using Machine Learning
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doctoralThesis -
349
Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023“…In this work, we implement three approaches to tackle the 2-club clustering via edge deletion: a heuristic approach based on the influence of the edge to resolve maximum conflicts, a parameterized algorithm in which by deleting a maximum of k edges, the graph can be transformed into a 2-club cluster based on a branching algorithm, and the approach in Integer Linear Programming to find the optimized solution in an integer formulation. …”
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masterThesis -
350
Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures
Published 2021“…The technology stack was also enhanced with three new algorithms and five protocols. The proposed solution was optimized using the iterative four-objective cycle based on previous primary phase results. …”
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351
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
Published 2022“…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …”
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352
A novel network-based SIS framework for improved GA performance
Published 2025“…Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. …”
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masterThesis -
353
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
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doctoralThesis -
354
Communication-Based Adaptive Overcurrent Protection for Distribution Systems with DistributedGenerators
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doctoralThesis -
355
AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients
Published 2015“…In this paper, we propose and compare three techniques two of which are Artificial Intelligence techniques, namely C4.5 and Case-Based Reasoning, and the third one is a meta-heuristic namely genetic algorithms. …”
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356
Blood Glucose Regulation Modelling and Intelligent Control
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doctoralThesis -
357
Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive
Published 2024“…<p dir="ltr">This paper proposes firstly a Second Order Sliding Mode Control (SOSMC) based on a Super Twisting Algorithm (STA) (SOSMC-STA) combined with a Direct Field-Oriented Control (DFOC) strategy of a Five-Phase Induction Motor (FPIM). …”
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358
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
Published 2017“…Furthermore, the paper proposes a modification to the SP algorithm based on an adaptive selection approach to further improve the performance in terms of reconstruction quality, execution time, and the robustness of the recovery process. …”
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359
An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks
Published 2022“…These algorithms calculate the optimal HC based on six scenarios of annual load and DER generation profiles. …”
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360
Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
Published 2021Get full text
doctoralThesis