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241
IASB Framework: Construction of Data Asset Accounting System Based on PO-BP Model
Published 2025-06-01“…By integrating the Political Optimization (PO) algorithm with the Back Propagation (BP) neural network, we propose a novel PO-BP model to enhance the accuracy and efficiency of data asset valuation. …”
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242
INTEGRATED OPTIMIZATION MODEL OF MANUFACTURING AND TRANSPORTATION PROCESSES
Published 2018-10-01“…This paper is devoted to constructing a linear mixed-integer model, finding a method and selecting an algorithm to determine the optimal solution to the production and transportation problem. …”
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243
Building construction crack detection with BCCD YOLO enhanced feature fusion and attention mechanisms
Published 2025-07-01“…Abstract An effective algorithm for detecting cracks in bare concrete structures in building construction, capable of identifying small targets, is essential for safeguarding buildings. …”
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244
Learning tensor networks with tensor cross interpolation: New algorithms and libraries
Published 2025-03-01“…These include sign-problem-free integration in large dimension, the "superhigh-resolution" quantics representation of functions, the solution of partial differential equations, the superfast Fourier transform, the computation of partition functions, and the construction of matrix product operators.…”
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245
Constructing a fall risk prediction model for hospitalized patients using machine learning
Published 2025-01-01“…Predictive models were constructed by integrating key clinical features, and eight machine learning algorithms were evaluated to identify the most effective model. …”
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246
Algorithms of the Method of Statically Admissible Discontinuous Stress Fields (SADSF) – Part II: The Algorithms for Solving Limit Stress Fields Around Isolated Nodes of Stress Disc...
Published 2015-12-01“…The algorithms enable solving practically any boundary problem that one encounters in constructing 2D statically admissible, discontinuous stress fields, first of all the limit fields. …”
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247
Mapping and interpretability of aftershock hazards using hybrid machine learning algorithms
Published 2025-08-01Get full text
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248
A deep learning-based algorithm for the detection of personal protective equipment.
Published 2025-01-01Get full text
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249
An Approach to Situational Data Integration Based on Data Service Hyperlink
Published 2014-02-01“…Enlightened by web page hyperlink,a novel abstraction“data service hyperlink”for linking and integrating data was proposed.With the help of “data service hyperlink”,users can explicitly describe the relationship between data sources.Based on data service hyperlink,the approach to just-in-time data service construction was proposed to enable users integrate data while navigating data services.A data service hyperlink recommendation algorithm was also discussed to help users select proper data service hyperlink to deal with the temporary requirements.A case-study and some experiments how to build a situational data integration application based on data service hyperlink efficiently were presented.…”
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250
Comprehensive Utilization and Optimal Allocation of Environmental Protection Building Materials in the Construction of Civil Engineering
Published 2025-06-01“…Applying environmentally friendly building materials in civil engineering construction is not only a response to the requirements of global green development but also a meaningful way to improve construction quality and reduce project costs. …”
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251
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252
Process integration technique for targeting carbon credit price subsidy
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253
Multiple Channel Integration Quality Assessment Method Using NARX
Published 2020-01-01“…To improve the accuracy of the multiple channel integration quality (MCIQ) evaluation, this paper proposes a comprehensive evaluation method using the nonlinear autoregressive exogenous model (NARX) and constructs an index system. …”
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254
Hyperspectral Wavelength Selection and Integration for Bruise Detection of Korla Pears
Published 2019-01-01“…Then, the corresponding feature wavelength subsets were integrated and an optimal feature wavelength set was constructed. …”
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255
A Multi-Objective Hybrid Game Pricing Strategy for Integrated Energy Operator-Load Aggregator Alliances Considering Integrated Demand Response
Published 2024-01-01“…To this end, we first constructed a master-slave game model that considers the bargaining game between load integrators with a large number of photovoltaic users in the model, to solve the problem of competition and cooperation. …”
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256
Electronic Controller Automatic Test System Based on Intelligent Control Algorithm
Published 2022-01-01“…In order to improve the automatic test effect of the electronic controller, this paper combines the intelligent control algorithm to construct the automatic test system of the electronic controller. …”
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257
Improve the Hunger Games search algorithm to optimize the GoogleNet model.
Published 2024-01-01“…Firstly, adaptive weights and chaos mapping were integrated into the hunger search algorithm to construct a new algorithm, ATHGS. …”
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258
Research on Traffic Marking Segmentation Detection Algorithm Based on Feature Fusion
Published 2024-10-01“…By constructing a comprehensive traffic marking detection model, a unified road traffic marking detection is achieved. …”
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259
CAA-RF: An Anomaly Detection Algorithm for Computing Power Blockchain Networks
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260
Student knowledge tracking based multi-indicator exercise recommendation algorithm
Published 2022-09-01“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
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