1,993 Result(s)
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Article
Enhanced DNA sequence design with learning PSO
DNA computing is a novel computing technology with high storage density and parallelism and promising applications. The reliability of DNA computing relies on data encoded DNA sequences, but designing qualifie...
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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 AccessXK-III: A Spherical Robot with Redundant Degrees of Freedom
The spherical robot XK-III, designed with redundant degrees of freedom, addresses the limitations of existing pendulum spherical robot structures by enhancing mobility and environmental adaptability. A nonline...
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Evaluating renewable energy projects using fuzzy bipolar soft aggregation and entropy weights
The fuzzy bipolar soft set (FBPSS) introduces a novel approach that surpasses the information capacity of conventional fuzzy soft set. The core aim of FBPSS is to simultaneously incorporate two weight vectors,...
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Open AccessEvolutionary constrained multi-objective optimization: a review
Solving constrained multi-objective optimization problems (CMOPs) is challenging due to the simultaneous consideration of multiple conflicting objectives that need to be optimized and complex constraints that ...
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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 AccessA binary-domain recurrent-like architecture-based dynamic graph neural network
The integration of Dynamic Graph Neural Networks (DGNNs) with Smart Manufacturing is crucial as it enables real-time, adaptive analysis of complex data, leading to enhanced predictive accuracy and operational ...
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Open AccessA survey on deep clustering: from the prior perspective
Facilitated by the powerful feature extraction ability of neural networks, deep clustering has achieved great success in analyzing high-dimensional and complex real-world data. The performance of deep clusteri...
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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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Dendritic Learning and Miss Region Detection-Based Deep Network for Multi-scale Medical Segmentation
Automatic identification and segmentation of lesions in medical images has become a focus area for researchers. Segmentation for medical image provides professionals with a clearer and more detailed view by ac...
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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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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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An improved Quick Informed-RRT* algorithm based on hybrid bidirectional search and adaptive adjustment strategies
Rapidly exploring random trees (RRTs) have been widely used for single-query motion planning problems due to their efficient searching capability in high-dimensional and complex spaces. Optimal RRTs (RRT*s) ad...
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A Fuzzy Twin Support Vector Machine Based on Dissimilarity Measure and Its Biomedical Applications
Biomedical data exhibit high-dimensional complexity in its internal structure and are susceptible to noise interference, making classification tasks in biomedical data highly challenging. Twin support vector m...
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Fractional Order T–S Fuzzy Chaotic Models for Secure EEG Signal via a Wireless Communication Protocol Using a Disturbance Observer and Sliding Mode Control Technique
In this paper, the secure communication of the electroencephalogram (EEG) signal is presented via the wireless protocol. To obtain the goal of secure communication, a new stability condition for providing a ne...
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Teaching content recommendations in music appreciation courses via graph embedding learning
The traditional music appreciation course teaching model relies on questionnaires or manual decision-making to determine teaching content, which is time-consuming and easily reduces student satisfaction and te...
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Feature selection for label distribution learning under feature weight view
Label Distribution Learning (LDL) is a fine-grained learning paradigm that addresses label ambiguity, yet it confronts the curse of dimensionality. Feature selection is an effective method for dimensionality r...
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Multilevel Micro Structures of the Clam Make the Sealing Even Tighter
Excellent fluid sealing performance is crucial to ensuring the safety of important equipment, especially in aerospace field, such as space capsule and fuel chamber. The frequently opening and closing of the se...
