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2,757 Result(s)
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Article
Integral input-to-state stability of systems with small delays
We consider how small delays affect the integral-input-to-state stability (iiss) property for a system. Our result is similar to the input-to-state stability (iss) result obtained in [1]: the iiss property will b...
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Open AccessGlobal practical stabilization of the double integrator system with an imperfect sensor and subject to a bounded disturbance
This paper is concerned with global practical stabilization of the double integrator system with an imperfect sensor and subject to an additive bounded output disturbance. The imperfect sensor nonlinearity pos...
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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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Open AccessTRAA: a two-risk archive algorithm for expensive many-objective optimization
Many engineering problems are essentially expensive multi-/many-objective optimization problems, and surrogate-assisted evolutionary algorithms have gained widespread attention in dealing with them. As the obj...
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Open AccessCorrection to: MDSTF: a multi-dimensional spatio-temporal feature fusion trajectory prediction model for autonomous driving
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Topic-aware cosine graph convolutional neural network for short text classification
Graph Convolutional Network (GCN) has been extensively studied in the task of short text classification (STC), utilizing global graphs that incorporate texts at different levels of granularity to learn text em...
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Open AccessDFFNet: a lightweight approach for efficient feature-optimized fusion in steel strip surface defect detection
Steel surface defect detection is crucial in manufacturing, but achieving high accuracy and real-time performance with limited computing resources is challenging. To address this issue, this paper proposes DFF...
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Open AccessParameter-Efficient Multi-classification Software Defect Detection Method Based on Pre-trained LLMs
Software Defect Detection (SDD) has always been critical to the development life cycle. A stable defect detection system can not only alleviate the workload of software testers but also enhance the overall eff...
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Open AccessMDSTF: a multi-dimensional spatio-temporal feature fusion trajectory prediction model for autonomous driving
In the field of autonomous driving, trajectory prediction of traffic agents is an important and challenging problem. Fully capturing the complex spatio-temporal features in trajectory data is crucial for accur...
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Open AccessGrounding rod hanging and removing robot with hand-eye self-calibration capability in substation
In this paper, a robot system for hanging and removing grounding rods is designed by integrating 3D recognition technology, hand-eye self-calibration technology, and automatic operation technology. Specificall...
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Open AccessSpatial-temporal memory enhanced multi-level attention network for origin-destination demand prediction
Origin-destination demand prediction is a critical task in the field of intelligent transportation systems. However, accurately modeling the complex spatial-temporal dependencies presents significant challenge...
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A Novel Robust Control and Optimal Design for Fuzzy Unmanned Surface Vehicles (USVs)
A novel high-order robust control is proposed for unmanned surface vehicles (USVs) steering dynamic systems. We creatively adopt the fuzzy set-based characterization to describe the uncertainty. In this way, t...
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Open AccessFuzzy Neural Network Model for Intelligent Course Development in Music and Dance Education
Interactions are mandatory for online or offline music and dance education to improve understandability and learning efficacy. The course designed for such artistic education incorporates multi-point interacti...
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Domain adaptation with optimized feature distribution for streamer action recognition in live video
Since the large-scale annotation of streamer actions is expensive, training with generic action data is a practical approach. Nevertheless, the spatiotemporal differences between generic actions and streamer a...
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Open AccessDRL-based dependent task offloading with delay-energy tradeoff in medical image edge computing
Task offloading solves the problem that the computing resources of terminal devices in hospitals are limited by offloading massive radiomics-based medical image diagnosis model (RIDM) tasks to edge servers (ES...
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Deep adversarial reconstruction classification network for unsupervised domain adaptation
Although the existing adversarial domain adaptation methods have been successfully applied in the unsupervised domain adaptation community, their performances may perhaps be weakened due to a significant distr...
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Open AccessA lightweight contour detection network inspired by biology
In recent years, the field of bionics has attracted the attention of numerous scholars. Some models combined with biological vision have achieved excellent performance in computer vision and image processing t...
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Open AccessACGND: towards lower complexity and fast solution for dynamic tensor inversion
Dynamic Tensor Inversion (DTI) is an emerging issue in recent research, prevalent in artificial intelligence development frameworks such as TensorFlow and PyTorch. Traditional numerical methods suffer signific...
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Open AccessResidual serialized cross grou** transformer for small scale sketch face recognition
Sketch face recognition has recently gained significant attention in the field of computer vision due to its ability to quickly identify matched pairs of optical and sketch images. This technology has the pote...
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Design and evaluation of the traveling wave piezoelectric beam actuators
Traveling wave piezoelectric beam actuators (TWPBAs) present an advantageous structural configuration for self-moving actuators and hold significant promise for operation in confined spaces. However, current r...