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501
Estimation of a Finite Population Mean under Random Nonresponse Using Kernel Weights
Published 2020-01-01“…Regression models have been recognized as one of the techniques of reducing bias and variance due to random nonresponse using auxiliary data. In this study, it is assumed that random nonresponse occurs in the survey variable in the second stage of cluster sampling, assuming full auxiliary information is available throughout. …”
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502
Random non-proportional fatigue tests with planar tri-axial fatigue testing machine
Published 2016-10-01Subjects: Get full text
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503
A Novel Algorithm of Quantum Random Walk in Server Traffic Control and Task Scheduling
Published 2014-01-01“…We introduce the method of random walk and illuminate what the quantum random walk is. …”
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504
Formulas for Rational-Valued Separability Probabilities of Random Induced Generalized Two-Qubit States
Published 2015-01-01Get full text
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505
Dynamic Average Consensus and Consensusability of General Linear Multiagent Systems with Random Packet Dropout
Published 2013-01-01“…This paper is concerned with the consensus problem of general linear discrete-time multiagent systems (MASs) with random packet dropout that happens during information exchange between agents. …”
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506
EXPONENTIAL DICHOTOMY OF DISCRETE TIME LINEAR SYSTEMS WITH MARKOVIAN JUMPS AND INDEPENDENT RANDOM PERTURBATIONS
Published 2022-05-01Subjects: Get full text
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507
Extended Precise Large Deviations of Random Sums in the Presence of END Structure and Consistent Variation
Published 2012-01-01“…The study of precise large deviations of random sums is an important topic in insurance and finance. …”
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508
Methods, algorithms and programs of computer algebra in problems of registration and analysis of random point structures
Published 2023-12-01Subjects: Get full text
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509
Hurst weighted random early detection algorithm based on self-similar traffic input
Published 2007-01-01Subjects: Get full text
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510
Unified study on characteristic spectrum representation of signals and spectral decomposition for stationary random signals
Published 2018-12-01“…Based on the superposition method of the stochastic simple harmonic vibration and the Hilbert space unitary operator method for the stationary random signal spectral decomposition, the connection and unification on mathematics of the signal characteristic spectral representation and the stationary random signal spectral decomposition are revealed.…”
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511
Investigation of a Random-Fractal Antenna Based on a Natural Tree-Leaf Geometry
Published 2017-01-01Get full text
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512
Brooks, David. The Social Animal. New York: Random House, 2012. 382 pp.
Published 2013-01-01Get full text
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513
Herbicide resistance prediction: a mechanistic model vs. a random forest model
Published 2025-01-01“…These comprise classical simulation models, mechanistic models (MMs), combining population dynamics and genetics, and recently artificial intelligence (AI) methods such as random forest. In this paper, both approaches are compared.Materials and methodsArtificial data were generated by an MM and used as training dataset for a random forest classifier. …”
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514
Financial Data Anomaly Detection Method Based on Decision Tree and Random Forest Algorithm
Published 2022-01-01“…Simulation experiments show that compared with the other two distance-based abnormal sample detection techniques, the random forest-based abnormal sample detection has greater advantages than the other two methods in terms of improving the accuracy of the model and reducing the computing time.…”
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515
Combining Style Transfer in a Frame with Random Rotation Using Convolutional Neural Networks
Published 2024-10-01Subjects: Get full text
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516
TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process
Published 2025-01-01Get full text
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517
Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells
Published 2022-01-01“…Four ML algorithms were utilized, including random forest (RF), logistic regression (LR), k-nearest neighbor (K-NN), and decision tree (DT). …”
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518
Turbo detection-decoding method for bit-interleavered random layered space-time codes
Published 2006-01-01Subjects: Get full text
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519
Spatial localization and diffusion of Dirac particles and waves induced by random temporal medium variations
Published 2025-01-01“…This universal phenomenon is independent of the initial pulse profile and the statistical properties of the random mass. Our findings demonstrate that random temporal variations can induce insulating behavior in Dirac materials, offering potential applications in solid-state physics and optics.…”
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520
E-commerce Service Chatbot Application Design using KNN and Random Forest Methods
Published 2025-01-01Subjects: “…Chatbot, E-Commerce, NLP, KNN, Random Forest…”
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Article