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Flickers, Bursts, and Dips: Detecting Rapid Variability with the g(2) Autocorrelation Function
Published 2025-01-01Get full text
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ABDviaMSIFAT: Abnormal Crowd Behavior Detection Utilizing a Multi-Source Information Fusion Technique
Published 2025-01-01“…To solve this issue, we suggest a new method that combines data from various sources with different characteristics to enhance the precision of detecting human behavior in crowds. …”
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Potential Source Density Function: A New Tool for Identifying Air Pollution Sources
Published 2022-01-01“…Abstract Potential source density function (PSDF) is developed to identify, that is, locate and quantify, source areas of ambient trace species based on Gaussian process regression (GPR), a machine-learning technique. …”
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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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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“…Sensorimotor cortex is activated similarly during motor execution and motor imagery. The study of functional connectivity networks (FCNs) aims at successfully modeling the dynamics of information flow between cortical areas. …”
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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 Type Recognition Algorithm of Radio Emission using Radial Basis Functions
Published 2017-02-01Get full text
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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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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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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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A fluorescence-enhanced inverse opal sensing film for multi-sources detection of formaldehyde
Published 2025-05-01Get full text
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Functionalized hydrogel-based colorimetric sensor for Cu2+ detection
Published 2025-01-01“…., highly toxic and bioaccumulative contaminants in water sources, has become a critical environmental concern. …”
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MIF-YOLO: An Enhanced YOLO with Multi-Source Image Fusion for Autonomous Dead Chicken Detection
Published 2025-12-01“…Addressing the paucity of automated systems for the detection of dead poultry within large-scale agricultural settings, characterized by the onerous and time-consuming manual inspection processes, this study introduces an enhanced YOLO algorithm with multi-source image fusion (MIF-YOLO) for the autonomous identification of dead chicken. …”
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Sources of uncertainty in DNA metabarcoding of whole communities: Implications for its use in biomonitoring
Published 2025-08-01Get full text
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Advances in choroid-glaucoma structural-functional correlations using swept-source optical coherence tomography
Published 2025-08-01“…Our analyses suggest that functional and structural changes in the choroid are evident in glaucoma patients as the disease progresses and that the action mechanism varies across different types of glaucoma. …”
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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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