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Recognition and Modeling of Crisis Propagation Patterns Combined with Robot Simulation of Social Networks
Published 2022-01-01“…In order to improve the identification effect of a crisis propagation mode, this paper studies the crisis propagation mode of social networks and uses an intelligent method to identify the crisis propagation mode. …”
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Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm
Published 2024-11-01“…The results show that the identification effect of the INFO algorithm can reach nearly 100% without noise influence, and the anti-noise ability is the strongest. …”
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Estimation of the aboveground carbon stocks based on tree species identification in Saihanba plantation forest
Published 2025-04-01“…Moreover, the identification effect of Larch (Larix principis-rupprechtii Mayr) was the most optimal in all schemes, with the highest PA of 92.9%. …”
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War for talent or even enemy at the gate? Investigating the role of employer brand experience in talent retention
Published 2025-02-01“…However, while employer brand identification's effect on talent retention is positive, it was not found to be significant. …”
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Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response
Published 2025-06-01“…The main findings of this study are as follows: (1) the constructed damage index can successfully identify single and multiple damages of bridges; (2) even in the case of pavement roughness, the proposed damage index is still able to identify the location of the damage; (3) the constructed damage index is not only applicable to simply supported bridges, but also applicable to the damage identification of continuous bridges; (4) the experiment shows that the proposed damage index can successfully identify the damage location, but the local vibration of the vehicle and the measurement noise interfere with the damage identification effect severely.…”
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Application of Axis Orbit Image Optimization in Fault Diagnosis for Rotor System
Published 2020-01-01“…In order to improve the identification effect, an effective fault identification method for a rotor system based on the axis orbit is proposed. …”
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An optimization method of multiscale storage tank target detection introducing an attention mechanism
Published 2024-01-01“…YOLOv5, a single-stage algorithm with good performance, accurately identifies most storage tanks with clear contours and evident positions; however, the identification effect is not good for storage tanks with small targets or unclear boundaries. …”
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Rapid identification of the authenticity of iron rod yam by in-situ mass spectrometry based on random forest algorithm
Published 2024-11-01“…HS-APCI-MS combined with RF algorithm had a significant identification effect on TG, and the classification effect of RF was superior to that of PCA.ConclusionAtmospheric pressure chemical ionization mass spectrometry, combined with the RF algorithm, can rapidly and non-destructively identify TG and FTG, providing a new technical method for authenticating TG.…”
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CO2 Gas Layer Recognition Method Based on Long Short-Term Memory Network
Published 2024-02-01“…The results show that the three deep learning algorithms have good recognition effects on CO2 gas layer, among which the LSTM algorithm has the best identification effect on CO2 gas layer, with an accuracy of 93.4%, providing new ideas for deep CO2 gas layer recognition work.…”
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A GA-BP neural network algorithm for fault detection of transmission tower bolts
Published 2025-02-01“…If not detected and addressed in a timely manner, serious adverse events, such as tower collapse, may occur which will endanger the normal operation of the power system.MethodsBased on this, in order to ensure the normal operation of the transmission tower and improve the identification effect of bolt loosening, the GP-BP neural network algorithm was applied to the detection process. …”
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An online and real-time adaptive operational modal parameter identification method based on fog computing in Internet of Things
Published 2020-02-01“…Finally, the time-varying operational modal identification results from non-stationary random response signals of a cantilever beam whose density changes slowly indicate that the limited memory eigenvector recursive principal component analysis–based operational modal analysis method requires less memory and runtime and has higher stability and identification effect.…”
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Information extraction and characteristic analysis of cultivated land abandonment in karst rocky desertification mountainous areas based on time-series vegetation index
Published 2025-04-01“…The results show that: (1) The OA of the identification results of abandoned land and non-abandoned land from 2019 to 2022 is 0.86, and the Kappa coefficient is 70%, with good identification effect; (2) The abandoned area in Guanling County continued to increase from 2019 to 2022, but most of them were abandoned for two to three years, and a few were abandoned for four years. …”
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Fluid Identification of Deep Low-Contrast Gas Reservoirs Based on Random Forest Algorithm
Published 2023-12-01“…In order to solve the problems such as unclear formation mechanism and poor fluid identification effect in deep gas reservoirs with low contrast of Bashijiqike formation in Bozi well area, Tarim basin, the mechanism of formation with low contrastis deeply analyzed based on the analysis data of cast thin section, high pressure mercury injection and nuclear magnetic resonance experiment. …”
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Fault tidentification method of outage transmission line based on convolutional neural network and wavelet packet decomposition
Published 2025-01-01“…To reduce the error of human extraction features, the faulty three-phase voltage waveform of the outage transmission line are measured, and wavelet packet decomposition is used to obtain three-phase voltage waveform spectrum maps, the features are extracted by CNN, meanwhile, CNN also undertakes the task of fault classification. The fault identification effect of this method is verified by simulation experiments. …”
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Application of artificial intelligence sensor and visual image technology in the analysis of hydrophilic space landscape characteristics
Published 2024-12-01“…Among all kinds of landscape recognition, the recognition effect of beach inflow is the best, and the recognition accuracy, recall, and F1 value are all above 95. However, the identification effect of hydrophilic plank roads and underwater breakwater is relatively poor. …”
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Study of Detection of Typical Pesticides in Paddy Water Based on Dielectric Properties
Published 2025-07-01“…The experimental results show that both PCA-SVM and CARS-SVM species identification models established using amplitude and phase frequency response data have excellent identification effects, reaching over 90%. The PCA-SVM model based on phase frequency response data has the best identification effect for typical pesticides in paddy water with a prediction recognition accuracy range of 97.5–100%. …”
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Influence of information technology on project risk management: The mediating role of risk identification
Published 2025-01-01“…Our findings reveal that IT integration significantly and positively influences both risk identification effectiveness and overall project risk management. …”
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Two-degree of freedom Mahalanobis classifier for smartphone-camera identification from natural digital images
Published 2024-12-01“…For disputed natural images, it achieves an identification effectiveness rate of 97.50% with fifteen reference images.…”
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Identification of rapeseed varieties based on hyperspectral imagery
Published 2011-03-01“…It is indicated that the hyperspectral imaging technology has a good classification and identification effects on rapeseed varieties.…”
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