1,033 Result(s)
within
Miao **ao
Artificial Intelligence
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Article
Driver profiling using trajectories on arbitrary roads by clustering roads and drivers successively
Driver profiling is a widely used tool in fleet management and driver-specific insurance because it differentiates drivers based on their driving behaviors, such as aggressive and non-aggressive, which corresp...
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Cross-dimensional knowledge-guided synthesizer trained with unpaired multimodality MRIs
Magnetic resonance images (MRIs) of different modalities have different reference values for pathological diagnosis. The difficulty of obtaining multimodal MRIs makes it effective to synthesize medical images ...
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An English video teaching classroom attention evaluation model incorporating multimodal information
In order to solve the problem of low detection efficiency and long working time in the traditional video surveillance system for abnormal behavior detection and identification methods. A multimodal abnormal be...
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Article
Fuzzy information gain ratio-based multi-label feature selection with label correlation
Multi-label feature selection aims to mitigate the curse of dimensionality in multi-label data by selecting a smaller subset of features from the original set for classification. Existing multi-label feature s...
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UAV remote sensing detection and target recognition based on SCP-YOLO
Identifying small, overlap** wheat ears in UAV images continues to be a difficult task. This paper proposes SCP-YOLO, a novel detection model that addresses this limitation. Initially, the dataset comprises ...
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Multi-level information fusion Transformer with background filter for fine-grained image recognition
Compared to traditional image recognition, Fine-Grained Image Recognition (FGIR) faces significant challenges due to the subtle distinctions among different categories and the notable variances within the same...
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Context-aware generative prompt tuning for relation extraction
Relation extraction is designed to extract semantic relation between predefined entities from text. Recently, prompt tuning has achieved promising results in the field of relation extraction, and its core idea...
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Article
Open AccessA review of point cloud segmentation for understanding 3D indoor scenes
Point cloud segmentation is an essential task in three-dimensional (3D) vision and intelligence. It is a critical step in understanding 3D scenes with a variety of applications. With the rapid development of 3...
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Three-way concept lattices triggered by Pythagorean fuzzy set and interval set
Three-way concept lattices offer a robust and flexible framework for analyzing complex data and understanding relationships and patterns within datasets. Their ability to handle uncertainty and ambiguity makes...
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Open AccessDynamic scheduling problems in theory and practice
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Uncertainty involved drag divergence characteristic predicting method based on VAE
Effective access to obtain the drag divergence characteristic of an airfoil is crucial for improving the economy, safety, and comfort of the aircraft. Current methods face challenges in providing satisfactory ...
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Article
Weighted coupled neural P systems with inhibitory rules and multiple channels
Coupled neural P systems (CNP systems) a model for computing, which is abstracted by the neuronal model of the mammalian visual cortex developed by Eckhorn. To improve the model’s controllability and consisten...
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Re-ID-leak: Membership Inference Attacks Against Person Re-identification
Person re-identification (Re-ID) has rapidly advanced due to its widespread real-world applications. It poses a significant risk of exposing private data from its training dataset. This paper aims to quantify ...
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Hybrid CNN-Transformer Architecture for Efficient Large-Scale Video Snapshot Compressive Imaging
Video snapshot compressive imaging (SCI) uses a low-speed 2D detector to capture high-speed scene, where the dynamic scene is modulated by different masks and then compressed into a snapshot measurement. Follo...
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Article
Finite-Time Prescribed Performance-Based Adaptive Fuzzy Tracking Control for Switched Nonlinear Systems with Output Dead Zone
In this article, an adaptive prescribed performance tracking control scheme is proposed for switched nonlinear systems with output dead zone and unmeasured state variables using an adaptive fuzzy approach. Fuz...
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Multi-scale gated network for efficient image super-resolution
Remarkable progress has been made in the field of single-image super-resolution (SISR), with convolutional neural network being widely adopted to achieve state-of-the-art performance. Recently, researchers hav...
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Normal Template Map**: An Association-Inspired Handwritten Character Recognition Model
In identifying objects, people usually associate memory templates to guide visual attention and determine the category of an object. The initial character images that children learn are usually normal patterns...
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Article
BO–SHAP–BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities
The rapid spread of COVID-19 has resulted in a large number of infections and significant economic impact on countries worldwide, and COVID-19 testing is one of the important methods to identify infected indiv...
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Skeleton-based 3D human pose estimation with low-resolution infrared array sensor using attention based CNN-BiGRU
Human sensing based on the low-resolution infrared sensor is widely used in hand gestures recognition, activity recognition, intrusion detection, etc. However, the information about humans acquired by the prev...
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Shape completion with azimuthal rotations using spherical gidding-based invariant and equivariant network
Point cloud completion aims to restore full shapes of objects from their partial views obtained by 3D optical scanners. In order to make point cloud completion become more robust to azimuthal rotations and mor...
