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Secretary bird optimization algorithm based on quantum computing and multiple strategies improvement for KELM diabetes classification
Published 2025-01-01Subjects: “…Secretary bird optimization algorithm…”
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Application of Variational Mode Decomposition and k-Nearest Neighbor Algorithm in the Quantitative Nondestructive Testing of Wire Ropes
Published 2019-01-01“…Quantification of defects is enabled using a k-nearest neighbor (KNN) algorithm to classify broken wires. Experimental results show that our design offers lighter weight, better convenience, and high sensitivity along with better removal of noise and more accurate classification of defects.…”
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2425
Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm
Published 2014-01-01“…The goal of this paper is to employ a multiobjective genetic algorithm (MOGA) to optimize the shape of a well-known wind turbine airfoil S809 to improve its lift and drag characteristics, in particular to achieve two objectives, that is, to increase its lift and its lift to drag ratio. …”
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Enhanced crayfish optimization algorithm: Orthogonal refracted opposition-based learning for robotic arm trajectory planning.
Published 2025-01-01“…The Crayfish Optimization Algorithm (COA) is an MH algorithm inspired by the biological behavior of crayfish. …”
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2427
provide a method to reduce energy consumption in wireless sensor networks using DBSCAN clustering algorithm
Published 2023-03-01Subjects: Get full text
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2428
An Enhanced Three-Band Algorithm for Retrieving Phycocyanin Concentration from Satellite Data in Plateau Inland Lake
Published 2025-01-01Subjects: “…Enhanced three-band algorithm (ETBA)…”
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HPRNA: Predicting synergistic drug combinations for angina pectoris based on human pathway relationship network algorithm.
Published 2025-01-01“…In this paper, we introduce a novel mathematical algorithm, the Human Pathway Relationship Network Algorithm (HPRNA), which is designed to predict synergistic drug combinations for angina pectoris. …”
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An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning
Published 2017-01-01“…Then, to overcome the shortcoming of the traditional clustering algorithm, an improved fuzzy c-means (FCM) algorithm based on adaptive genetic algorithm and semisupervised learning is proposed. …”
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SOM Neural Network Fault Diagnosis Method of Polymerization Kettle Equipment Optimized by Improved PSO Algorithm
Published 2014-01-01“…The particle swarm optimization (PSO) algorithm with a new dynamical adjustment method of inertial weights is adopted to optimize the structural parameters of SOM neural network. …”
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IAR 2.0: An Algorithm for Refining Inconsistent Annotations for Time-Series Data Using Discriminative Classifiers
Published 2025-01-01“…To address this, we propose a novel algorithm, iterative annotation refinement (IAR) 2.0, for refining inconsistent annotations for time-series data. …”
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A Novel Energy-Efficient -Coverage Algorithm Based on Probability Driven Mechanism of Wireless Sensor Networks
Published 2016-04-01“…To solve this problem, the paper proposes an Energy-Efficient k -Coverage Algorithm (EEKCA), which attempts to construct a network coverage model by utilizing the relative positions of nodes. …”
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Artificial Bee Colony Algorithm for Fresh Food Distribution without Quality Loss by Delivery Route Optimization
Published 2021-01-01“…An artificial bee colony (ABC) optimization and cuckoo search (CS) algorithm also come into the category of SI algorithm. …”
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A Novel Approach for Portfolio Optimization Using Fuzzy AHP Based on Gustafson Kessel Clustering Algorithm
Published 2024-12-01Subjects: Get full text
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Email Spam Detection Using a Hybrid Approach of Feedforward Neural Network and Penguin Optimization Algorithm
Published 2024-09-01Subjects: “…Neural Networks and the Penguin Optimization Algorithm (POA)…”
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Research on temperature detection method of liquor distilling pot feeding operation based on a compressed algorithm
Published 2024-06-01“…At the same time, in order to effectively reduce the occupancy of the computational resources and improve the deployment performance, this study established infrared image dataset of fermented grains surface, and fused the YOLO v5n and the knowledge distillation and the model pruning algorithms, and an lightweight method YOLO v5ns-DP was proposed as as a model for detecting temperature changes in the surface layer of fermented grains during the process of feeding the distilling. …”
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