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A Novel Clustering Algorithm Inspired by Membrane Computing
Published 2015-01-01“…P systems are a class of distributed parallel computing models; this paper presents a novel clustering algorithm, which is inspired from mechanism of a tissue-like P system with a loop structure of cells, called membrane clustering algorithm. …”
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Revolutionizing RPAS logistics and reducing CO2 emissions with advanced RPAS technology for delivery systems
Published 2024-09-01“…The model’s enhancement for optimizing delivery schedules takes into account uncertain traffic conditions, thus improving accuracy in dynamic environments and further contributing to environmental sustainability. …”
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Balance Control Method for Bipedal Wheel-Legged Robots Based on Friction Feedforward Linear Quadratic Regulator
Published 2025-02-01“…A constant-speed excitation trajectory is designed to gather data for friction identification, and the Particle Swarm Optimization (PSO) algorithm is applied to determine the optimal friction parameters. …”
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Corrosion Rate Prediction of Buried Oil and Gas Pipelines: A New Deep Learning Method Based on RF and IBWO-Optimized BiLSTM–GRU Combined Model
Published 2024-11-01“…The method is based on the combination of an improved Beluga Optimization algorithm (IBWO) and Random Forest (RF) optimization with BiLSTM and gated cycle unit (GRU), which are used to classify corrosion rates as high or low. …”
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Gaussian barebone mechanism and wormhole strategy enhanced moth flame optimization for global optimization and medical diagnostics.
Published 2025-01-01“…Hence, this paper introduces a novel enhanced MFO algorithm (BWEMFO) designed to improve algorithmic performance. …”
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Real-time information-based combined control method for bus delay
Published 2025-08-01“…The backup bus replacement strategy, on the other hand, is implemented at bus terminals, where a backup bus replaces a delayed one to maintain the schedule. A heuristic algorithm based on Particle Swarm Optimization (PSO) is incorporated into the model, enhancing its effectiveness by iteratively updating the positions and velocities of particles in the search space. …”
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Efficient sepsis detection using deep learning and residual convolutional networks
Published 2025-07-01“…In this article, we present a new deep learning model to detect the occurrence of sepsis and the African vulture optimization algorithm (AVOA) to enhance the model performance. …”
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Research on Bearing Fault Diagnosis Method Based on MESO-TCN
Published 2025-06-01“…A kernel-extended temporal convolutional network (ETCN) is designed with multi-scale dilated convolution to extract diverse temporal fault patterns. Furthermore, an improved whale optimization algorithm incorporating a firefly-inspired mechanism is introduced to adaptively optimize key hyperparameters. …”
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Study on Trajectory Planning for Polishing Free-Form Surfaces of XY-3-RPS Hybrid Robot
Published 2025-05-01“…This paper also provides a detailed description of the mathematical modeling, algorithm implementation, and simulation analysis of the XY-3-RPS hybrid robot for trajectory optimization, offering both a theoretical foundation and engineering support for its application in free-form surface polishing.…”
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Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable
Published 2019-12-01“…In order to optimize the selection of temperature measurement points in the thermal error modeling of machine tools, a method based on the combination of K-means + + algorithm and correlation coefficient method is proposed to select the temperature sensitive points. …”
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images
Published 2025-07-01“…Finally, the enhanced coati optimization algorithm (ECOA) method is implemented for the hyperparameter tuning of the KELM method, which results in a higher classification process. …”
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Application of Artificial Intelligence Computer Intelligent Heuristic Search Algorithm
Published 2022-01-01“…The experimental results show that the improved A∗ algorithm can significantly improve the moving path of the picking robot and make the planned path smoother, which confirms the feasibility and superiority of the improved algorithm. …”
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Accelerating multi-objective optimization of concrete thin shell structures using graph-constrained GANs and NSGA-II
Published 2025-05-01“…The hybrid approach addresses fundamental limitations in current optimization techniques by combining the generative capabilities of deep learning with the refinement processes of evolutionary algorithms. …”
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Constrained MPC for a linear system to track time-varying reference signals
Published 2025-06-01“…This paper presents a model predictive control algorithm under input and state constraints. …”
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Advanced Planning Systems in Production Planning Control: An Ethical and Sustainable Perspective in Fashion Sector
Published 2025-07-01“…The integration of metaheuristic algorithms—especially Ant Colony Optimization (ACO) and hybrid models like GA-ACO—further improves optimization performance by offering high-quality, near-optimal solutions without requiring extensive structural modeling. …”
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Dynamic parking space allocation at urban scale: Problem formulation and resolution
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Creating Balance on Bandwidth Consumption using Network Coding in Wireless Sensor Networks
Published 2024-02-01“…The results show that the proposed model and algorithm, due to informed routing and NC, can improve the parameters of the average required time to find the route optimal, the total amount of virtual flow in networkâs edges, the average latency end-to-end of the network, the consumed bandwidth, the average lifetime of the network and the consumed energy, or not very weak compared to other models. …”
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