4,123 Result(s)
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Article
An evolutionary feature selection method based on probability-based initialized particle swarm optimization
Feature selection is a common data preprocessing technique that aims to construct better models by selecting the most predictive features. Existing particle swarm optimization-based feature selection algorithm...
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Hierarchical contrastive representation for zero shot learning
Zero-shot learning aims to identify unseen (novel) objects, using only labeled samples from seen (base) classes. Existing methods usually learn visual-semantic interactions or generate absent visual features o...
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Industrial product surface defect detection via the fast denoising diffusion implicit model
In the age of intelligent manufacturing, surface defect detection plays a pivotal role in the automated quality control of industrial products, constituting a fundamental aspect of smart factory evolution. Con...
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A novel dual-branch Alzheimer’s disease diagnostic model based on distinguishing atrophic patch localization
Magnetic resonance imaging (MRI), a non-ionizing radiation imaging method, is widely utilized in diagnosing Alzheimer’s disease (AD) due to its excellent imaging ability for brain soft tissues and high-resolut...
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QEA-QCNN: optimization of quantum convolutional neural network architecture based on quantum evolution
Quantum neural network (QNN) is a research orientation that combines quantum computing and machine learning. It has the potential to solve the bottleneck problem of shortage of computing resource in deep learn...
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Open AccessA Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition
Meta-learning has proven to be a powerful paradigm for transferring knowledge from prior tasks to facilitate the quick learning of new tasks in automatic speech recognition. However, the differences between la...
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Failure modes determination and load-bearing capacity evaluation of concrete columns under seismic loads by ANNs
The failure modes of concrete columns can be applied to judge the ductility of concrete columns under seismic loads. In addition, the load-bearing capacity of concrete columns was an important parameter in eva...
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Open AccessFrom single to universal: tiny lesion detection in medical imaging
Accurate and automatic detection of tiny lesions in medical imaging plays a critical role in comprehensive cancer diagnosis, staging, treatment, follow-up, and prognosis. Numerous deep learning (DL) based stud...
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Open AccessPinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
Power load data frequently display outliers and an uneven distribution of noise. To tackle this issue, we present a forecasting model based on an improved extreme learning machine (ELM). Specifically, we intro...
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Block diagonal representation learning with local invariance for face clustering
Facial data under non-rigid deformation are often assumed lying on a highly non-linear manifold. The conventional subspace clustering methods, such as Block Diagonal Representation (BDR), can only handle the h...
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Open AccessIntelligent Conceptual Design of Railway Bridge Based on Graph Neural Networks
In the conceptual design stage of railway bridge, the beam type of the bridge at the main control point must be modified repeatedly to satisfy varying requirements. Thus, the demand for design efficiency is hi...
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Efficient frictional contacts for soft body dynamics via ADMM
This paper addresses the longstanding challenge of soft body dynamics with frictional contact through a novel combination of Projective Dynamics for elasticity simulation and Alternating Direction Method of Mu...
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Open AccessRlm-tracking: online multi-pedestrian tracking supported by relative location map**
The challenge of multi-object tracking stands as a fundamental focus in computer vision research, finding widespread applications in areas such as public safety, transportation, autonomous vehicles, robotics, ...
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Open AccessLarge-Kernel Attention for 3D Medical Image Segmentation
Automated segmentation of multiple organs and tumors from 3D medical images such as magnetic resonance imaging (MRI) and computed tomography (CT) scans using deep learning methods can aid in diagnosing and tre...
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Open AccessA survey on wind power forecasting with machine learning approaches
Wind power forecasting techniques have been well developed over the last half-century. There has been a large number of research literature as well as review analyses. Over the past 5 decades, considerable adv...
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Article
ParaLkResNet: an efficient multi-scale image classification network
Recently, deep neural networks have achieved remarkable results in computer vision tasks with the widely used visual attention mechanism. However, the introduction of the visual attention mechanism increases t...
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FusionDeformer: text-guided mesh deformation using diffusion models
Mesh deformation has a wide range of applications, including character creation, geometry modelling, deforming animation, and morphing. Recently, mesh deformation methods based on CLIP models demonstrated the ...
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Article
PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition
In recent years, vision Transformers and MLPs have demonstrated remarkable performance in image understanding tasks. However, their inherently dense computational operators, such as self-attention and token-mi...
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Article
Open-Vocabulary Animal Keypoint Detection with Semantic-Feature Matching
Current image-based keypoint detection methods for animal (including human) bodies and faces are generally divided into fully supervised and few-shot class-agnostic approaches. The former typically relies on l...
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Article
Intelligent Optimization of Particle-Jamming-Based Variable Stiffness Module Design Using a Grey-box Model Based on Virtual Work Principle
Soft grippers are favored for handling delicate objects due to their compliance but often have lower load capacities compared to rigid ones. Variable Stiffness Module (VSM) offer a solution, balancing flexibil...
