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YOLOGX: an improved forest fire detection algorithm based on YOLOv8
Published 2025-01-01“…To tackle issues, including environmental sensitivity, inadequate fire source recognition, and inefficient feature extraction in existing forest fire detection algorithms, we developed a high-precision algorithm, YOLOGX. …”
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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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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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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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MTAHG and MTBHG: Modified Approaches for Interpreting Gravity Data
Published 2025-04-01“…This paper proposes two effective edge detection tools: one combining the balanced total horizontal gradient (BHG), and the hyperbolic tangent function, abbreviated as “MTBHG”; and the other combining the tilt angle of the total horizontal gradient (TAHG) and the hyperbolic tangent function, abbreviated as “MTAHG.” …”
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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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Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar
Published 2025-03-01“…Compared to 2D sonar images, 3D sonar images offer superior spatial positioning capabilities, although the data acquisition cost is higher and lacks open source references for data annotation, target detection, and semantic segmentation. …”
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Sources of uncertainty in DNA metabarcoding of whole communities: Implications for its use in biomonitoring
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Non-Line-of-Sight Location With Gauss Filtering Algorithm Based on a Model of Photon Flight
Published 2020-01-01“…Recently, non-line-of-sight (NLOS) detection based on time of flight (TOF) has been investigated. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity
Published 2025-02-01“…To address these challenges, we present QPPLab, an open-source MATLAB-based toolbox for detecting, analyzing, and visualizing QPPs from fMRI time series. …”
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Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation
Published 2023-12-01“…Quality assessment and artifact detection in functional magnetic resonance imaging (fMRI) data is essential for clinical applications and brain research. …”
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The Cosmic Evolution of Fast Radio Bursts Inferred from the CHIME/FRB Baseband Catalog 1
Published 2025-01-01“…We find the energy distribution is described well by a Schechter function with a power-law slope of $-1.9{4}_{-0.12}^{+0.14}$ . …”
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Fine-grained building function recognition with street-view images and GIS map data via geometry-aware semi-supervised learning
Published 2025-03-01“…In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition, which effectively uses multi-source geoinformation data to achieve accurate function recognition in both single-city and cross-city scenarios. …”
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Identification and Mining of Functional Components of Polyphenols in Fruits of <i>Malus</i> Germplasm Resources Based on Multivariate Analysis
Published 2024-10-01“…These results provide us with information regarding the polyphenol composition and content of the wild apple resources and local cultivars. The high polyphenol content resources obtained by screening can be used as raw materials for the extraction of polyphenol components and functional fruit juice processing and can also be used as parents for functional fruit creation and variety breeding.…”
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