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421
Effect of Cs atoms adsorption on the work function of the LaB6 (100) surface
Published 2025-03-01“…These results provide some reference for the selection of fusion plasma gird materials and the production of hydrogen negative ion sources for neutral beam injection.…”
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422
LMGD: Log-Metric Combined Microservice Anomaly Detection Through Graph-Based Deep Learning
Published 2024-01-01“…Therefore, there is an urgent need for fast and accurate anomaly detection capabilities. However, the existing microservice anomaly detection methods do not pay attention to the multi-source data of the microservice system and thus have low accuracy. …”
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423
CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8.
Published 2025-01-01“…First, the bottleneck of the C2f module in the original yolov8 network is replaced with the residual Faster-Block module in FasterNet, and then the new channel mixer convolution GLU (CGLU) in TransNeXt is combined with it to construct the C2f-faster-CGLU module, reducing the number of model parameters and computational load; Secondly, the SPPF module is combined with the large separable kernel attention (LSKA) to construct the SPPF-LSKA module, which greatly enhances the feature extraction ability of the model; Then, by adding a small target detection layer, the accuracy of small target detection such as traffic signs is greatly improved; Finally, the Inner-IoU and MPDIoU loss functions are integrated to construct WISE-Inner-MPDIoU, which replaces the original CIoU loss function, thereby improving the calculation accuracy. …”
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424
Estimating Leaf Chlorophyll Fluorescence Parameters Using Partial Least Squares Regression with Fractional-Order Derivative Spectra and Effective Feature Selection
Published 2025-02-01“…Chlorophyll fluorescence (ChlF) parameters serve as non-destructive indicators of vegetation photosynthetic function and are widely used as key input parameters in photosynthesis–fluorescence models. …”
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425
VRU-YOLO: A Small Object Detection Algorithm for Vulnerable Road Users in Complex Scenes
Published 2025-01-01“…Accurate detection of vulnerable road users (VRUs) is critical for enhancing traffic safety and advancing autonomous driving systems. …”
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426
AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11.
Published 2025-01-01“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
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427
SHIVA-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI
Published 2024-12-01“…An increasing number of automated CMB detection methods being proposed are based on supervised deep learning (DL). …”
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428
A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells
Published 2025-01-01“…The objective function of the optimization problem is defined as the sum of squared errors of the actual and predicted voltage data. …”
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429
Deception mechanisms of FDA‒AWACS against passive monopulse angle measurements
Published 2024-11-01Get full text
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430
Investigating the utilization of biomaterials and bioengineering methods in developing functional cardiac tissue for heart repair
Published 2024-12-01“…The primary purpose of the present research is to examine the use of biomaterials and bioengineering methods to create functioning cardiac tissue. Techniques for tissue maturation, scaffold design, cell sources, and biomaterial selection are important subjects. …”
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431
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432
Statistically Optimized Near-Field Acoustic Holography Using Prolate Spheroidal Wave Functions
Published 2023-01-01“…Near-field acoustic holography (NAH) is an effective tool for realizing accurate sound field reconstruction in three-dimensional space on the prerequisite that appropriate elementary wave functions are selected or constructed to match the characteristics of the sound sources. …”
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433
A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS
Published 2025-02-01“…This approach allows for a preliminary evaluation of the effectiveness of different algorithms for attacking APUFs without access to challenge-response datasets from real instances of physically unclonable functions. Attacks were conducted on models of basic and modified variants of APUFs from the open-source library "pypuf", using classical logistic regression and artificial neural networks (ANNs). …”
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434
A fuzzy method for improving the functionality of search engines based on user's web interactions
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435
Finite mixtures of functional graphical models: Uncovering heterogeneous dependencies in high-dimensional data.
Published 2025-01-01“…In this work, we propose finite mixtures of functional graphical models (MFGM), which detect the heterogeneous subgroups of the population and estimate single graph for each subgroup by considering the correlation structures. …”
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436
Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data
Published 2025-05-01“…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
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437
Asynchronous bearing only tracking management approach in distributed multi-function integrated sensors
Published 2024-12-01“…The distributed multi-function system requires only one integrated sensor to switch to electronic support measure (ESM) mode within each tracking cycle to update the angle measurement information of target radiation source, while the other integrated sensors still work in the original planned mode and task. …”
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438
Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks
Published 2025-08-01“…In addition to standard ocean climate indicators such as El Niño or the Indian Ocean Dipole, other typical patterns of variation are captured in terms of the temperatures of selected ocean areas. When characteristic patterns of correlation are discovered, they are included in the predictor selection in the form of expansion in terms of the empirical orthogonal functions (EOFs). …”
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439
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Elucidating the role of compositional and processing variables in tailoring the technological functionalities of plant protein ingredients
Published 2025-01-01“…However, other extraction, purification, and drying methods can be properly combined, resulting in specific PP ingredient functionalities. Overall, this review highlights that, besides protein purity and source, knowledge of the processing history is required to select PP ingredients with desired functionalities.…”
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