989 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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Article
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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Article
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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Article
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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Article
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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Article
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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Article
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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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...
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Article
Hierarchical few-shot learning based on top-down correction mechanism with stop strategy
Few-shot learning has become an important branch of machine learning, which aims to give correct prediction information to unknown samples. Many few-shot models mostly adopt a hierarchical structure and make g...
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Article
Action recognition method based on a novel keyframe extraction method and enhanced 3D convolutional neural network
At present, action recognition is a challenging task in the field of computer vision. Traditional action recognition methods cannot fully extract the spatiotemporal features of actions in video. To address the...
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Article
Autoencoder evolutionary algorithm for large-scale multi-objective optimization problem
Multi-objective optimization problems characterized by a substantial number of decision variables, which are also called large-scale multi-objective optimization problems (LSMOPs), are becoming increasingly pr...
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Article
Temperature and humidity prediction of mountain highway tunnel entrance road surface based on improved Bi-LSTM neural network
As the temperature of mountain roads is low and the temperature difference between day and night is large, the change of road surface temperature and humidity will affect the road conditions. For example, cold...
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Article
Predictive Control for Takagi–Sugeno Fuzzy Large-Scale Networked Control Systems
In this paper, the issue of exponential stabilization and sampled-data controller design for Takagi–Sugeno fuzzy large-scale networked control systems is studied by using the reduction-based ordinary different...
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Article
A Bipolar Complex Fuzzy CRITIC-ELECTRE III Approach Using Einstein Averaging Aggregation Operators for Enhancing Decision Making in Renewable Energy Investments
Faced with rapidly rising energy demand in industrialised societies and widespread global concern, countries are actively promoting the transition from conventional to renewable energy systems. The goal is to ...
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Article
Observer-Based Adaptive Control for Uncertain Fractional-Order T-S Fuzzy Systems with Output Disturbances
This paper is devoted to the observer-based adaptive robust control for fractional-order Takagi–Sugeno (T-S) fuzzy systems with input uncertainties and output disturbances. By combining system states and outpu...
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Article
Open AccessTrust Improvement Consensus Model Considering Unreliability Degree of Opinions with Hesitant Fuzzy Sets
Trust is a crucial element in the consensus decision-making process, as it significantly impacts a group’s capacity to achieve consensus. Nevertheless, low trust by experts may result in detrimental decision-m...
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Article
Open AccessRobotics in the Construction Sector: Trends, Advances, and Challenges
Construction robots employ cutting-edge technology to perform tasks more accurately than traditional construction workers, producing higher-quality results and fewer mistakes. Moreover, although construction r...
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Article
Erratum to: Bio-inspired Filter Design Based on Vortex Control Mechanism of Parallel Groove Structure
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Article
RDMA: low-light image enhancement based on retinex decomposition and multi-scale adjustment
Images are often affected by insufficient illumination and suffer from degradation problems such as low brightness, noise, and color distortion, which results in reduced image quality. Existing low-light image...
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Article
Design, Simulation and Kinematic Validation of a Hip Prosthetic Mechanism with a Multimotor Function
We previously developed a powered hip prosthetic mechanism with kinematic functions of hip flexion–extension and abduction–adduction, and its theoretical and simulation-based kinematics were verified. Because ...
