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741
Error Characteristic Analysis and Filtering Algorithm for GNSS Time-Series Data
Published 2025-01-01Subjects: Get full text
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742
Edge detection of aerial images using artificial bee colony algorithm
Published 2022-06-01“…In many studies, metaheuristic algorithms have been used for obtaining better results. …”
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743
Beamspace Unitary ESPRIT Algorithm for Angle Estimation in Bistatic MIMO Radar
Published 2015-01-01“…The proposed algorithm does not require peak searching, presents low complexity, and provides a significant better performance compared to some existing methods, such as the element-space ESPRIT (E-ESPRIT) algorithm and the beamspace ESPRIT (B-ESPRIT) algorithm for bistatic MIMO radar. …”
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744
An Enhanced Sine Cosine Algorithm for Feature Selection in Network Intrusion Detection
Published 2024-12-01Subjects: “…sine cosine algorithm…”
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745
Exoskeleton Follow-Up Control Based on Parameter Optimization of Predictive Algorithm
Published 2021-01-01“…In this paper, an improved method for the prediction algorithm of exoskeleton sensor data is proposed. Through an algorithm simulation test and two-link simulation experiment, the algorithm improves the prediction accuracy by 14.23 ± 0.5%, and the sensor data is smooth. …”
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746
Self-Identification Algorithm for the Autonomous Control of Lateral Vibration in Flexible Rotors
Published 2012-01-01“…In this work, a self-identification algorithm is proposed for the autonomous decision and control of a flexible shaft rotating system with electromagnetic actuators. …”
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747
Using Camshift and Kalman Algorithm to Trajectory Characteristic Matching of Basketball Players
Published 2021-01-01“…The matching of players’ track characteristics is realized by the CamShift algorithm based on the color model, which makes full use of players’ color information and realizes real-time performance. …”
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748
Algorithm of Strawberry Disease Recognition Based on Deep Convolutional Neural Network
Published 2021-01-01“…In this paper, based on the deep convolution neural network technology, the recognition of strawberry common diseases was studied, as well as a new method based on deep convolution neural network (DCNN) strawberry disease recognition algorithm, through the normal training of strawberry image feature representation in different scenes, and then through the application of transfer learning method, the strawberry disease image features are added to the training set, and finally the features are classified and recognized to achieve the goal of disease recognition. …”
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749
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
Published 2021-01-01“…All these developed algorithms have some merits and also demerits. Particle swarm optimization (PSO), firefly algorithm, ant colony optimization (ACO), and bat algorithm (BA) have gained much popularity and they have successfully tackled various test suites of benchmark functions and real-world problems. …”
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750
Research on Optimal Control for the Vehicle Suspension Based on the Simulated Annealing Algorithm
Published 2014-01-01“…A method is designed to optimize the weight matrix of the LQR controller by using the simulated annealing algorithm. This method utilizes the random searching characteristics of the algorithm to optimize the weight matrices with the target function of suspension performance indexes. …”
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751
Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm
Published 2021-01-01“…This algorithm combines the adaptive median filter algorithm with the traditional nonlocal mean algorithm, first adjusts the image window adaptively, selects the corresponding pixel weight, and then denoises the image, which can have a good filtering effect on the mixed noise. …”
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752
BeSnake: A Routing Algorithm for Scalable Spin-Qubit Architectures
Published 2024-01-01Subjects: Get full text
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753
Augmented EFIE with Adaptive Cross Approximation Algorithm for Analysis of Electromagnetic Problems
Published 2013-01-01“…The A-EFIE combined with the multilevel adaptive cross-approximation (MLACA) algorithm is developed to further reduce the memory requirement and computation time for analyzing electromagnetic problems. …”
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754
A Self-Adaptive Extragradient Algorithm for Solving Quasimonotone Variational Inequalities
Published 2022-01-01“…For solving this quasimonotone variational inequality, we propose an iterative procedure which combines a self-adaptive rule and the extragradient algorithm. We demonstrate that the procedure weakly converges to the solution of the investigated quasimonotone variational inequality provided the considered operator satisfies several additional conditions.…”
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755
Constructive algorithms for forming compound cubic Bezier curves in space and on plane
Published 2022-04-01“…The article considers two graph-analytical algorithms. The first algorithm makes it possible to form a spatial curve passing through given nodal points with direction vectors specified at these points. …”
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756
Deep learning for object recognition: A comprehensive review of models and algorithms
Published 2025-12-01“…This review provides a comprehensive examination of fundamental models and algorithms, with a particular focus on neural network (NN) frameworks utilized for feature extraction. …”
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757
Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm
Published 2022-01-01“…The multidepot capacitated arc routing problem (CARP) is investigated with the hybrid optimization algorithm of the Dijkstra algorithm and genetic algorithm. …”
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758
MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank
Published 2018-01-01“…To this end, in this paper, a multiobjective evolutionary algorithm, termed MOFSRank, is proposed for feature selection in learning to rank which consists of three components. …”
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759
Learning-Based Path Planning Algorithm in Ocean Currents for Multi-Glider
Published 2022-01-01“…The algorithm architecture is compared and tested on two datasets, grid maps and ocean maps. …”
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760
Modeling and Analysis of Multifocus Picture Division Algorithm Based on Deep Learning
Published 2022-01-01“…As a complex machine learning algorithm, deep learning can extract object shape information and more complex and advanced information in images by using a deep learning model. …”
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