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1061
Incremental clustering method based on Gaussian mixture model to identify malware family
Published 2019-06-01“…Aiming at the logical similarity of the behavioral characteristics of malware belonging to the same family,the characteristics of malware were extracted by tracking the logic rules of API function call from the perspective of behavior detection,and the static analysis and dynamic analysis methods were combined to analyze malicious behavior characteristics.In addition,according to the purpose,inheritance and diversity of the malware family,the transitive closure relationship of the malware family was constructed,and then the incremental clustering method based on Gaussian mixture model was improved to identify the malware family.Experiments show that the proposed method can not only save the storage space of malware detection,but also significantly improve the detection accuracy and recognition efficiency.…”
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1062
Image target importance recognition method based on visual model and correlation algorithm
Published 2025-07-01“…Existing urban object detection and analysis methods still lack effective mechanisms to compute and rank semantic relevance between objects in urban scenes. …”
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1063
Rigid Finite Element Method In Modelling The Dynamics Of Risers And Considering Large Deflections
Published 2025-09-01“…One of the discretisation methods, which includes an analysis of large deflections, is the rigid finite element method (RFEM). …”
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1064
RESEARCH ON PARAMETRIC MODELING METHOD FOR RESIDUAL STRENGTH OF SUBSEA OIL AND GAS PIPELINE
Published 2018-01-01“…In order to solve the problem of safety assessment effectively for subsea oil and gas pipeline,the rules about pipeline residual strength changing with the defect geometric information such as length,width and depth were analyzed using finite element method( FEM),and on this basis the parameterized model of pipeline residual strength was obtained,and the unknown coefficients in the model were identified using improved genetic algorithm,thus the model can describe the quantitative relation between the residual strength and defect geometrical quantity. …”
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1065
Object detection with afordable robustness for UAV aerial imagery: model and providing method
Published 2024-08-01“…Objective. Development of a model and method to ensure the robustness of object detectors for aerial image analysis. …”
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1066
Research on FE Modeling Methods of Riveting Structure of Steel-aluminum Hybrid Body
Published 2018-01-01“…In the analysis of the strength of the large riveting structure, the calculation efficiency was greatly improved by using the method and the sub modeling technique ensuring the accuracy of the calculation.…”
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1067
Dynamic Performance Analysis of a Curved Cable-Stayed Bridge Based on the Direct Method and the Sensitivity-Based Iterative Method
Published 2022-01-01“…Nevertheless, when the appropriate choices are made for the algorithmic parameters, both methods can lead to the updated models with satisfactory numerical analysis results as compared to the experimental data.…”
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A New Method for Displacement Modelling of Serial Robots Using Finite Screw
Published 2024-09-01“…The main contribution of the proposed method is that finite-screw-based displacement model is highly related with instantaneous-screw-based kinematic and dynamic models, providing an integrated modelling and analysis methodology for robotic mechanisms.…”
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1071
Safety Prejudging Method for Power Transformer Based on Multi-Prediction Model Fusion
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1072
Theoretical and numerical study of profit in agricultural sector model using wavelet method
Published 2025-03-01“…This work aims to present the Chebyshev wavelet collocation method (CWCM) for assessing and producing a numerical approximation of profit in a fractional-order agriculture sector model. …”
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METHODS OF THE FRACTAL APPROACH IN SCIENCE EDUCATION: INNOVATIVE TECHNOLOGY AND CONCEPTS OF COMPUTER MODELING
Published 2023-06-01“…Materials and methods. Methods of comparative analysis, computer modeling, and generalization strategy are used. …”
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News Text Classification Method and Simulation Based on the Hybrid Deep Learning Model
Published 2021-01-01“…This paper uses the database as the data source, using bibliometrics and visual analysis methods, to statistically analyze the relevant documents published in the field of text classification in the past ten years, to clarify the development context and research status of the text classification field, and to predict the research in the field of text classification priorities and research frontiers. …”
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Modeling error reduction and rework in construction activities using system dynamics method
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Method for creating a digital relief model for the small river watershed area
Published 2025-06-01“…Purpose: to develop and test a method for constructing a digital relief model for the small river watershed using AutoCAD Civil 3D software, as well as to conduct a spatial analysis of the hydrological characteristics. …”
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1077
A network security situation prediction method based on hidden Markov model
Published 2015-12-01“…Aiming at the dynamic and real-time characteristics of network security situation prediction,a network security situation prediction model based on hidden Markov model(HMM)was designed.According to the HMM,the situation in t+1 from t time can be calculated.Meanwhile,the maximum entropy algorithm was combinated with HMM to improve the accuracy rate.The analysis and simulation experiments show that the method has the characteristics of autonomous learning and active defense,and it also balance the speed and accuracy.…”
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Methods of centroid determination in QGIS – proposal of an algorithm using the “Model Designer” tool
Published 2025-01-01“…The introduction outlines a number of definitions of centroids. Then, various methods of their determination and example applications are discussed. …”
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Application of multi-objective decision-making based on entropy weight-TOPSIS method and RSR method in the analysis of orthopedic disease
Published 2025-08-01“…Traditional analysis models, limited by their one-dimensional or simplistic structures, struggle to interpret complex clinical data comprehensively. …”
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