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3441
Compact Sine Cosine Algorithm with Multigroup and Multistrategy for Dispatching System of Public Transit Vehicles
Published 2021-01-01“…To achieve better optimization capability, we propose a multigroup Multistrategy Compact Sine Cosine Algorithm (MCSCA) by using the compact strategy and grouping strategy, which makes the initialized randomly generated value no longer an individual in the population and avoids falling into the local optimum. …”
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3442
Research on Density Peak Clustering Color-Separation Algorithm Based on SOM Neural Network
Published 2025-01-01Subjects: “…Color-separation algorithm…”
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3443
Automated cell annotation in multi-cell images using an improved CRF_ID algorithm
Published 2025-01-01Get full text
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3444
ADVANCE HYDRAULIC SUPPORT MULTI-OBJECTIVE OPTIMIZATION DESIGN BASED ON NSGA-Ⅱ ALGORITHM
Published 2015-01-01“…Contrapose the problems of hydraulic support connecting rod mechanical fracture,at the same external load force link mechanical to advance the sum of the absolute values,and minimum quality of the objective function,establishment of a multi-objective optimization model,to solve the optimization used the NSGA-Ⅱ algorithm,using fuzzy set theory method to choose the optimal solution,and has compiled into a visual computing program under matlab environment. …”
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3445
Research on power efficient autonomous UAV navigation algorithm: an edge intelligence driven approach
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3446
The algorithm of interaction of the enterprises of fuel and energy complex in implementation with the use of alternative means of payment
Published 2019-04-01“…The structure of the algorithm for building a system of payment interaction of enterprises of the fuel and energy complex has been off red. …”
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3447
Deformation Prediction of Foundation Pit Based on Exponential Power Product Model of Improved Algorithm
Published 2021-01-01“…Through six standard test functions and three application examples, the optimization ability of the ISDO algorithm is verified, and the optimization results are compared with those of basic supply demand optimization algorithm (SDO), whale optimization algorithm (WOA), grey wolf optimization algorithm (GWO), moth swarm algorithm (MSA), and particle swarm optimization algorithm (PSO). …”
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3448
VLSI implementation of AES algorithm against differential power attack and differential fault attack
Published 2010-01-01Subjects: Get full text
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3449
An Improved Genetic Algorithm Based Robust Approach for Stochastic Dynamic Facility Layout Problem
Published 2018-01-01“…Different sized instances are compared with Particle Swarm Optimization (PSO) algorithm to verify the effectiveness of the proposed genetic algorithm. …”
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3450
Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm
Published 2024-01-01“…The Particle Swarm Optimization (PSO) algorithm is widely used for optimization problems due to its simplicity and efficiency. …”
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3451
Using Machine Learning Algorithm to Describe the Connection between the Types and Characteristics of Music Signal
Published 2021-01-01“…In order to improve the accuracy of music classification, a music classification model based on multifeature fusion and machine learning algorithm is proposed. First, we obtain the music signal, and then extract various features from the classification of the music signal, and use machine learning algorithms to describe the type of music signal and the relationship between the features. …”
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3452
Research on Fast Pedestrian Detection Algorithm Based on Autoencoding Neural Network and AdaBoost
Published 2021-01-01“…In order to solve the problem of low accuracy of pedestrian detection of real traffic cameras and high missed detection rate of small target pedestrians, this paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm. Aiming at the problem that a single high-level output feature map has insufficient ability to express pedestrian features and existing methods cannot effectively select appropriate multilevel features, this paper improves the traditional AdaBoost algorithm structure, that is, the sample weight update formula and the strong classifier output formula are reset, and the two-input AdaBoost-DBN classification algorithm is proposed. …”
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3453
A Modified Salp Swarm Algorithm Based on the Perturbation Weight for Global Optimization Problems
Published 2020-01-01“…Metaheuristic algorithms are often applied to global function optimization problems. …”
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3454
An Energy-Efficient Node Selection Algorithm in Bearings-Only Target Tracking Sensor Networks
Published 2014-02-01“…In this paper, an energy-efficient node selection algorithm for bearings-only sensors in decentralized sensor networks is proposed. …”
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3455
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3456
(ε,δ)-approximate Top-k query processing algorithm in wireless sensor networks
Published 2011-01-01Subjects: Get full text
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3457
ASMT: An augmented state-based multi-target tracking algorithm in wireless sensor networks
Published 2017-04-01“…Here, we propose an algorithm named augmented state-based multi-target tracking algorithm. …”
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3458
Link-Disjoint Broadcasting Algorithm in Wormhole-Routed 3D Petersen-Torus Networks
Published 2013-12-01“…We propose a link-disjoint broadcasting algorithm for half-duplex 3D PT networks with wormhole routing and prove that the broadcasting algorithm is link-disjoint and the broadcasting step is l / 2 + log 2 ( n - 1 ) + 5 in 3D PT ( l, n, n ) .…”
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3459
Nonlinear Voltage Regulation Algorithm for DC-DC Boost Converter with Finite-Time Convergence
Published 2019-01-01“…For the DC-DC Boost converter system, this paper employs the finite-time control technique to design a new nonlinear fast voltage regulation control algorithm. Compared with the existing algorithm, the main advantage of the proposed algorithm lies in the fact that it can offer a fast convergent rate, i.e., finite-time convergence. …”
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3460
Online English Teaching Quality Assessment Based on K-Means and Improved SSD Algorithm
Published 2022-01-01“…Experiments show that compared with other comparison algorithms, the algorithm presented in this paper performs better in the index of detection accuracy.…”
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