Suggested Topics within your search.
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An enhancement filter utilizing the modified arctangent function for the structural and tectonic interpretation of causative sources: Application to WGM2012 gravity data from the R...
Published 2025-06-01“…In this study, we propose the Modified Arctangent Function (MAT), which enhances gravity source edge detection by integrating the total horizontal gradient with a modified arctangent function. …”
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Resource scheduling based on routing tree and detection matrix for Internet of things
Published 2021-03-01“…This article proposes a new efficient resource scheduling based on routing tree and detection matrix for Internet of things. …”
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Feature dependence graph based source code loophole detection method
Published 2023-01-01“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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Feature dependence graph based source code loophole detection method
Published 2023-01-01“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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Source Detection and Functional Connectivity of the Sensorimotor Cortex during Actual and Imaginary Limb Movement: A Preliminary Study on the Implementation of eConnectome in Motor Imagery Protocols
Published 2012-01-01“…Event-Related Desynchronization/Synchronization (ERD/ERS) of the mu-rhythm was used to evaluate MI performance. Source detection and FCNs were studied with eConnectome. …”
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Grape Seed Powders as a Source of Phenolic Compounds: UHPLC Orbitrap MS4 Characterization
Published 2024-02-01“…Grape seeds represent a rich source of phenolic compounds that exhibit various health benefits. …”
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Selenium Accumulating Leafy Vegetables Are a Potential Source of Functional Foods
Published 2015-01-01“…., Cucurbita maxima, Ipomoea batatas, Solanum villosum, Solanum scabrum, and Vigna unguiculata were explored for their capabilities to accumulate selenium when grown on selenium enriched soil and for use as a potential source of selenium enriched functional foods. Their selenium contents were determined by spectrophotometry using the complex of 3,3′-diaminobenzidine hydrochloride (DABH) as a chromogen. …”
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Derivation of pressure distribution models for horizontal well using source function
Published 2019-05-01“…In this work, ten (10) models for pressure distribution for horizontal well under different boundary variation were derived following these steps for each of the models:(i) choosing a boundary condition for each axis (ii) selecting the appropriate source function for each axis and (iii)applying Newman product rule to arrive at the pressure expression. …”
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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity
Published 2022-01-01“…Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV swarm trajectory and radiation power. …”
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Go Source Code Vulnerability Detection Method Based on Graph Neural Network
Published 2025-06-01“…With the widespread application of the Go language, the demand for vulnerability detection in Go programs is increasing. Existing detection models and methods have deficiencies in extracting source code features of Go programs and mainly focus on detecting concurrency vulnerabilities. …”
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Source Type Recognition Algorithm of Radio Emission using Radial Basis Functions
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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information
Published 2025-01-01“…Current resident anomaly detection technologies rely on single-source energy data, lacking detailed behavior pattern analysis. …”
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Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression
Published 2025-01-01“…To exploit the consecutive nature of OES data, we propose a prediction method based on a functional approach using multivariate functional partial least squares regression, coupled with dimension reduction and a novel outlier detection technique via functional independent component analysis. …”
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Improved UAV Target Detection Model for RT-DETR
Published 2025-01-01“…Furthermore, the Focaler-MPDIoU loss function has been developed to address the challenge of suboptimal localization accuracy for hard-to-detect targets and diminutive targets. …”
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Nitrogen-functionalized modulation of iron nanoparticles promotes selective hydrogenation of carbon dioxide
Published 2025-03-01“…Nitrogen-functionalized iron nanoparticles were prepared using a one-pot hydrothermal process. …”
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Enhanced Reward Function Design for Source Term Estimation Based on Deep Reinforcement Learning
Published 2025-01-01“…This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). …”
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Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection
Published 2025-05-01“…We develop continuous non-linear Diophantine fuzzy algebraic aggregation operators and apply them to a multi-attribute decision-making problem in renewable energy source selection. A case study demonstrates the effectiveness of the proposed CN-LDFS framework using a weighted geometric operator. …”
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