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Suggested Topics within your search.
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1081
Multiobjective Synthesis of Linear Arrays by Using an Improved Genetic Algorithm
Published 2019-01-01“…In this paper, an improved genetic algorithm with dynamic weight vector (IGA-DWV) is proposed for the pattern synthesis of a linear array. …”
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1082
Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm
Published 2017-01-01“…In this paper, an improved kernel principal component analysis (KPCA) method is proposed to search for signatures of anomalies in flight datasets through the squared prediction error statistics, in which the number of principal components and the confidence for the confidence limit are automatically determined by OpenMP-based K-fold cross-validation algorithm and the parameter in the radial basis function (RBF) is optimized by GPU-based kernel learning method. …”
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1083
A Gaussian convolutional optimization algorithm with tent chaotic mapping
Published 2024-12-01Subjects: “…Convolutional optimization algorithm…”
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1084
Application of FMICW technology based on stagger algorithm in automotive radar
Published 2018-10-01Subjects: Get full text
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1085
Indoor Pedestrian Positioning Tracking Algorithm with Sparse Anchor Nodes
Published 2013-08-01“…Simulation results show that the proposed algorithm can significantly improve the accuracy of indoor pedestrian positioning and tracking more than the Kalman filter and k -nearest neighbor (KNN) algorithms. …”
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1086
LRST: searching tree anti-collision algorithm with low-redundancy
Published 2014-06-01“…To resolve this problem, a searching tree anti-collision algorithm with low-redundancy on the basis of regressive-style dynamic searching tree algorithm was proposed. …”
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1087
SQLite Encryption Method for Embedded Databases Based on Chaos Algorithm
Published 2023-01-01“…This research mainly focuses on the encryption technology of SQLite embedded database and proposes an improved sparrow algorithm (Logistic Chaos Sparrow Search Algorithm, LCSSA) based on Logistic Chaos Map. …”
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1088
Study of DHF G function algorithm used for DHF systems
Published 2006-01-01“…How to construct a set of DFH G function algorithm had presented.The function was easy to be generated.The methods of the parameter selection for the G function were given in theory,and the quality of the uniformity usage of the frequency points in the DFH system range was analyzed.Lastly,the performances of the FH pattern was tested and some beneficial conclusions were derived.…”
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1089
Active learning with human heuristics: an algorithm robust to labeling bias
Published 2024-11-01“…How does modeling the oracle as a human heuristic affect the performance of active learning algorithms? If there is a drop in performance, can one design active learning algorithms robust to labeling bias? …”
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1090
An adaptive least-squares algorithm for the elliptic Monge–Ampère equation
Published 2023-10-01Subjects: Get full text
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1091
Automatic Intelligent Control System Based on Intelligent Control Algorithm
Published 2022-01-01“…In order to improve the effect of automatic intelligent control, this paper improves the intelligent vector control algorithm, analyzes the performance of the algorithm with common power pulses as an example, and obtains an improved intelligent vector control algorithm suitable for modern intelligent systems. …”
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1092
Exploring publication networks with a local cohesion-maximizing algorithm
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1093
Data collection algorithm for mobile sink in delay-constrained network
Published 2014-10-01“…In real-time applications,the delay constraint limits the speed and the trajectory of mobile sink which in consequence restrains the communication time between the sensor nodes and the sink.So it is difficult to balance delay requirement with the data collecting efficiency.To address the problem above,an efficient data collection algorithm MSDC for sensor networks is proposed.It finds an optimal sink trajectory in the data buffering and uses the mobility of sink to improve the data collection performance in the limited time.The simulation results show that the algorithm can improve the network data collection capacity throughput,reduce the energy consumption and prolong the network lifetime.…”
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1094
A Multistrategy Optimization Improved Artificial Bee Colony Algorithm
Published 2014-01-01“…Being prone to the shortcomings of premature and slow convergence rate of artificial bee colony algorithm, an improved algorithm was proposed. Chaotic reverse learning strategies were used to initialize swarm in order to improve the global search ability of the algorithm and keep the diversity of the algorithm; the similarity degree of individuals of the population was used to characterize the diversity of population; population diversity measure was set as an indicator to dynamically and adaptively adjust the nectar position; the premature and local convergence were avoided effectively; dual population search mechanism was introduced to the search stage of algorithm; the parallel search of dual population considerably improved the convergence rate. …”
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1095
The modified crABCDE treatment algorithm as recommendation in extreme cold
Published 2025-01-01“…Trauma care prioritizes life-threatening conditions using the ABCDE algorithm based on the principle “treat first what kills first”. …”
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1096
Real-Time Hardware-in-the-Loop Tests of Star Tracker Algorithms
Published 2013-01-01“…This paper deals with star tracker algorithms validation based on star field scene simulation and hardware-in-the-loop test configuration. …”
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1097
Recommendation algorithm based on GMM clustering and FOA-GRNN model
Published 2018-12-01Subjects: “…recommendation algorithm…”
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1098
Effectiveness of the PSI BLAST algorithm in dependence on scanning word size
Published 2003-12-01“… The alignment searching algorithms for biomolecular sequences PSI-BLAST are reviewed in the article. …”
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1099
Improved marine predators algorithm for engineering design optimization problems
Published 2024-06-01Subjects: “…Improved marine predators algorithm…”
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1100
Network protocol identification based on active learning and SVM algorithm
Published 2013-10-01“…Obtaining qualified training data for protocol identif ion generally requires domain experts to be involved,which is time-consuming and laborious.A novel approach for network protocol identification based on active learning and SVM algorithm was proposed.The experimental evaluations on real-world network traces show this approach can accurately and efficiently classify the target network protocol from mixed Internet traffic,and meanwhile display a sig-nificant reduction in the number of labeled samples.Therefore,this approach can be employed as an auxiliary tool for analyzing unknown protocols in real-world environment.…”
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