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281
Dynamic response force control of electrohydraulic servo actuator of active suspension based on intelligent optimization algorithm.
Published 2025-01-01“…To address these challenges, a fractional-order PID (FOPID) controller optimization method based on the Multi-Strategy Improved Beluga Whale Optimization (MSIBWO) algorithm is proposed. …”
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282
Improved Estimation Procedure of Cage-Induction-Motor-Equivalent Circuit Parameters Based on Two-Stage PSO Algorithm
Published 2025-04-01“…This paper analyzes errors in the estimation of induction-motor-equivalent circuit parameters using an improved combined two-stage Particle Swarm Optimization (PSO) method. …”
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283
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284
Optimization model of electricity metering management based on MOPSO
Published 2025-06-01“…Abstract In response to the difficulty of balancing economy and accuracy in traditional energy metering management methods, an improved particle swarm optimization model is designed to optimize energy metering management based on multi-objective particle swarm optimization, thereby achieving optimal resource allocation and maximizing management efficiency. …”
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285
Improving MPCitH with Preprocessing: Mask Is All You Need
Published 2025-03-01“…Furthermore, we explore the independence of the mask, demonstrating that it can be calculated in parallel, which also enables the optimization of the masked witness calculation. Our optimized implementation of Picnic3 shows significant improvements. …”
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286
ISI sparse channel estimation based on ISL0 algorithm
Published 2014-05-01“…Moreover, the “steep nature” of cost function in SL0 is not steep enough, leading to channel estimation errors and make convergence results not the most optimal. The lagrange multipliers and newton method were combined to op-timize SL0 algorithm in order to obtain a more rapid and efficient signal reconstruction algorithm termed as an improved smoothed L0 (ISL0). …”
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287
Feature Generation with Genetic Algorithms for Imagined Speech Electroencephalogram Signal Classification
Published 2025-04-01“…This algorithm can efficiently explore ample feature space and identify the most relevant features for the task. …”
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288
Problems of optimizing the energy consumption of households in the tasks of improving the energy efficiency of the housing sector
Published 2018-06-01“…The most important results of the work performed are the following:• the methodology for forecasting the graph of the maximum totalpower consumption has been developed.• methods for optimizing energy consumption for each of the selected subsets of household appliances have been developed.• the optimization algorithms obtained have been simulated, which showed their operability, efficiency and the possibility of their practical application without any adaptation.Thus, the article proposes the solution of the problem of optimization of energy consumption in the housing sector, oriented to practical application.…”
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289
A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients
Published 2021-12-01“…Following that, we implemented Neural Network and Particle Swarm Optimization algorithms. We used precision, accuracy score, recall, and F-Measure tests to evaluate the Neural Network with Particle Swarm Optimization algorithms. …”
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290
Development of Hybrid Optimization Model Using Grey-ANFIS-Jaya Algorithm for CNC Drilling of Aluminium Alloy
Published 2024-01-01“…To obtain the maximum material removal and minimum roughness, circularity (circ), and perpendicularity errors (perp), the process variables have been optimized with the help of grey-ANFIS-amalgamated with Jaya algorithm. …”
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291
Optimization of energy consumption in mobile Ad-Hoc networks with a swarm intelligence-based ABC algorithm
Published 2025-07-01Get full text
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292
Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm
Published 2025-05-01“…This paper proposes a novel Object Detection Model for Visually Impaired Individuals with a Metaheuristic Optimization Algorithm (ODMVII-MOA) technique. The proposed ODMVII-MOA technique aims to improve OD methods in real-time with advanced techniques to detect and recognize objects for disabled people. …”
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293
An Intelligent 5G Unmanned Aerial Vehicle Path Optimization Algorithm for Offshore Wind Farm Inspection
Published 2025-01-01Get full text
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294
Combining the Improved RGB Water-Filling Algorithm With Penumbra Removal Technique for Shadow Removal From Digitized Images
Published 2025-01-01“…The proposed method introduces an RGB water-filling algorithm specifically designed to address soft shadows, optimized with matrix operations and a streamlined processing workflow that substantially enhance the computational efficiency over existing methods. …”
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295
Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms
Published 2025-02-01“…This approach not only improved performance but also enhanced environmental sustainability, making it the most effective and challenging solution among all the algorithms used in the study.…”
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296
Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory
Published 2025-01-01“…GGO algorithm’s binary format is specifically intended to choose the most effective set of features that can improve classification accuracy when compared to six other binary optimization algorithms. …”
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297
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Hybrid Methods Random Forest and FOX-Inspired Optimization Algorithm for Selecting Features in Cervical Cancer Data
Published 2024-11-01“…One of the SI-based optimization algorithms is the FOX-Inspired Optimization Algorithm. …”
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299
Economic energy optimization in microgrid with PV/wind/battery integrated wireless electric vehicle battery charging system using improved Harris Hawk Optimization
Published 2025-03-01“…The study adopts an Improved Harris Hawk Optimization (IHHO) algorithm to optimize energy management and minimize operational costs under varying scenarios. …”
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300
Machine learning-based coalbed methane well production prediction and fracturing parameter optimization
Published 2025-04-01“…The model employs a random forest algorithm integrated with a multi-task learning strategy and utilizes a particle swarm optimization (PSO) algorithm to optimize fracturing parameters. …”
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