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Deep Learning-Based Flap Detection System Using Thermographic Images in Plastic Surgery
Published 2024-10-01“…In reconstructive surgery, flaps are the cornerstone for repairing tissue defects, but postoperative monitoring of their viability remains a challenge. …”
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502
Development of a Mobile Laser Measurement System for Subway Tunnel Deformation Detection
Published 2025-01-01“…To improve deformation detection utilizing point cloud data, a pre-processing algorithm has been proposed, which incorporates point cloud denoising, centerline calculation, roadbed removal, and relative positioning based on mileage. …”
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503
A novel, rapid, and practical prognostic model for sepsis patients based on dysregulated immune cell lactylation
Published 2025-06-01“…Patients were stratified into subgroups using k-means clustering based on lactylation levels. Machine learning algorithms, integrated with pseudotime trajectory reconstruction, were employed to map the temporal dynamics of lactylation. …”
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504
An Overview of the Indian Monsoon Using Micropaleontological, Geochemical, and Artificial Neural Network (ANN) Proxies During the Late Quaternary
Published 2025-06-01“…Moreover, the cured foraminiferal censuses and the modern oceanographic data were used to test the newly developed artificial neural network (ANN) algorithm to calculate the relationship with modern water column temperatures (WCTs). …”
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505
Research on wave measurement and simulation experiments of binocular stereo vision based on intelligent feature matching
Published 2024-12-01“…To improve the discontinuity and low accuracy in disparity maps from traditional wave image matching algorithms, this paper proposes the use of a high-precision stereo matching method based on Pyramid Stereo Matching Network (PSM-Net).A 3D reconstruction method integrating Scale-Invariant Feature Transform (SIFT) with stereo matching was also introduced to overcome the limitations of template matching and interleaved spectrum methods, which only provide 2D data and fail to capture the full 3D motion of waves. …”
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506
A Full-Life-Cycle Modeling Framework for Cropland Abandonment Detection Based on Dense Time Series of Landsat-Derived Vegetation and Soil Fractions
Published 2025-06-01“…These are then used to integrally reconstruct temporal trajectories for complex scenarios (e.g., abandonment, weed invasion, reclamation, and fallow) using logistic and double-logistic models. …”
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507
A Spatiotemporal Dataset of Soil Properties in Northeast China Based on Soil Sampling and Interpolation From 2009 to 2020
Published 2025-07-01“…Addressing the need for dynamic soil quality monitoring in the major grain‐producing areas of Northeast China, this study innovatively develops a spatiotemporal sparse grid modelling framework and produces high‐precision soil spatiotemporal datasets, based on soil testing and fertiliser recommendation data collected from various locations between 2009 and 2020. By integrating a spatiotemporal covariance function with the Kriging interpolation algorithm, the study systematically resolves the challenge of spatiotemporal collaborative modelling for multi‐year discontinuous observational data. …”
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508
Research and application of water drainage borehole design method based on three-dimensional geological model
Published 2025-07-01“…The mine roadway model is reconstructed through the roadway centerline with three - dimensional coordinates and relevant attributes; the coal seam model is constructed by triangulating point data and boundary data, and is dynamically updated based on the cross - layer point data during borehole construction; the hydrogeological model is constructed by processing spatial data points using the Delaunay triangulation algorithm, similar to the coal seam modeling method, and is also updated according to the control point data collected during borehole construction. …”
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509
Deep learning-based temperature detection for group-raised pigs via thermal images
Published 2025-12-01“…The methodology includes three approaches: (1) a Porcine-ESRGAN algorithm based on generative adversarial networks (GANs) was developed to reconstruct super-resolution of thermal infrared images, effectively addressing low-resolution limitations, (2) a novel temperature extraction method incorporating instantaneous recognition of postures was established to overcome challenges in measuring pigs in the lying position, and (3) an enhanced YOLOv7 architecture (termed ITG-YOLOv7) was implemented to improve the accuracy of thermal region detection. …”
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510
Opportunistic Diagnostics of Dental Implants in Routine Clinical Photon-Counting CT Acquisitions
Published 2025-06-01“…Standard PCCT scans were reconstructed at multiple keV levels with and without MAR. …”
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511
Improving agricultural commodity allocation and market regulation: a novel hybrid model based on dual decomposition and enhanced BiLSTM for price prediction
Published 2025-04-01“…This innovative approach first performs seasonal decomposition of the original data using the STL method, then applies the VMD method for double decomposition of the residual components, reconstructs the data based on sample entropy, and finally predicts agricultural commodity market prices using the BiLSTM network model optimized by the PSO algorithm. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran
Published 2024-10-01“…Recent research investigations have shown that Machine Learning (ML) algorithms can identify geochemical anomalies associated with mineralization that represent targets for mineral exploration. …”
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514
The azimuthal correlation between the leading jet and the scattered lepton in deep inelastic scattering at HERA
Published 2024-12-01“…A measurement of jet cross sections in the laboratory frame was made in a fiducial region corresponding to photon virtuality $$10 {\,\text {Ge}\hspace{-0.66666pt}\text {V}}^2< Q^2 < 350 {\,\text {Ge}\hspace{-0.66666pt}\text {V}}^2$$ 10 Ge V 2 < Q 2 < 350 Ge V 2 , inelasticity $$0.04< y < 0.7$$ 0.04 < y < 0.7 , outgoing lepton energy $$E_e > 10 {\,\text {Ge}\hspace{-0.66666pt}\text {V}}$$ E e > 10 Ge V , lepton polar angle $$140^\circ< \theta _e < 180^\circ $$ 140 ∘ < θ e < 180 ∘ , jet transverse momentum $$2.5 {\,\text {Ge}\hspace{-0.66666pt}\text {V}}< p_\textrm{T,jet} < 30 {\,\text {Ge}\hspace{-0.66666pt}\text {V}}$$ 2.5 Ge V < p T,jet < 30 Ge V , and jet pseudorapidity $$-1.5< \eta _\textrm{jet} < 1.8$$ - 1.5 < η jet < 1.8 . Jets were reconstructed using the $$k_\textrm{T}$$ k T algorithm with the radius parameter $$R = 1$$ R = 1 . …”
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515
An Efficient ISAR Imaging Method for Space Maneuvering Target Based on Multisynchrosqueezing Transform
Published 2025-01-01“…The methodology integrates motion compensation to suppress translational interference, models range cell echoes as multi-component Polynomial Phase Signals(PPS), and deploys MSST’s superior time-frequency localization for reconstructing 3D range-time-Doppler energy distribution from 2D radar data. …”
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516
Product Innovation Design Method Based on BP Neural Network
Published 2022-01-01“…Convolutional neural network and neural style transfer model are used to extract, reconstruct, and integrate the color features of style diagrams, and transfer them to product modeling to design new product images. …”
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517
Measurement of the double-differential inclusive jet cross section in proton-proton collisions at s $$ \sqrt{s} $$ = 5.02 TeV
Published 2025-01-01“…The measurement is performed using proton-proton collision data at s $$ \sqrt{s} $$ = 5.02 TeV, recorded by the CMS experiment at the LHC, corresponding to an integrated luminosity of 27.4 pb −1. The jets are reconstructed with the anti-k T algorithm using a distance parameter of R = 0.4, within the rapidity interval |y| < 2, and across the kinematic range 0.06 < p T < 1 TeV. …”
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518
An advanced method for surface damage detection of concrete structures in low-light environments based on image enhancement and object detection networks
Published 2024-12-01“…Abstract Surface damage detection in concrete structures is critical for maintaining structural integrity, yet current object detection algorithms often struggle in low-light environments. …”
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519
Optical Sensor-Based Approaches in Obesity Detection: A Literature Review of Gait Analysis, Pose Estimation, and Human Voxel Modeling
Published 2025-07-01“…Despite their potential, challenges persist in sensor robustness under uncontrolled environments, algorithmic biases in diverse populations, and scalability for widespread deployment in existing health workflows. …”
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520