580 Result(s)
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Research on variational optical flow method for rockfall monitoring
Rockfall is a global mountain disaster problem, which has the characteristics of wide distribution, strong randomness, and inconspicuousness. The contacted monitoring method is difficult to deploy. Simultaneou...
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Open AccessIntelligent detection method of microparticle virus in silkworm based on YOLOv8 improved algorithm
The presence of microparticle viruses significantly impacts the quality of silkworm seeds for domestic sericulture, making their exclusion from detection in silkworm seed production crucial. Traditional method...
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Retraction Note: Periodic multimedia spectrum sensing method based on high-order anti-jamming mechanism in cognitive wireless networks
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JoCaD: a joint training method by combining consistency and diversity
Noisy labels due to mistakes in manual labeling or data collecting are challenging for the expansion of deep neural network applications. Current robust network learning methods such as Decoupling, Co-teaching...
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A robust feature matching algorithm based on adaptive feature fusion combined with image superresolution reconstruction
With the development of image feature matching technology, feature matching algorithms based on deep learning have achieved excellent results, but in scenarios with low texture or extreme perspective changes, ...
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TransFGVC: transformer-based fine-grained visual classification
Fine-grained visual classification (FGVC) aims to identify subcategories of objects within the same superclass. This task is challenging owing to high intra-class variance and low inter-class variance. The mos...
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An improved SMOTE based on center offset factor and synthesis strategy for imbalanced data classification
It is an enormous challenge for imbalanced data learning in the field of machine learning. To construct balanced datasets, oversampling techniques have been studied extensively. However, many oversampling meth...
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An Empirical Study on Google Research Football Multi-agent Scenarios
Few multi-agent reinforcement learning (MARL) researches on Google research football (GRF) focus on the 11-vs-11 multi-agent full-game scenario and to the best of our knowledge, no open benchmark on this scena...
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CLIP-guided Prototype Modulating for Few-shot Action Recognition
Learning from large-scale contrastive language-image pre-training like CLIP has shown remarkable success in a wide range of downstream tasks recently, but it is still under-explored on the challenging few-shot...
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Multi-representation web service recommendation system based on attention mechanism
Recently, mashup developers seek to integrate multiple services with complementary functionalities from a large amount of web services. With so many available web services, it is difficult for developers to ch...
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Extracting problem and method sentence from scientific papers: a context-enhanced transformer using formulaic expression desensitization
Billions of scientific papers lead to the need to identify essential parts from the massive text. Scientific research is an activity from putting forward problems to using methods. To learn the main idea from ...
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Open AccessAutomatic grid topology detection method based on Lasso algorithm and t-SNE algorithm
For a long time, the low-voltage distribution network has the problems of untimely management and complex and frequently changing lines, which makes the problem of missing grid topology information increasingl...
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Efficient algorithms for reachability and path queries on temporal bipartite graphs
Bipartite graphs are naturally used to model relationships between two types of entities, such as people-location, user-post, and investor-stock. When modeling real-world applications like disease outbreaks, e...
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Open AccessShort-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)
Accurate sector-based air traffic flow predictions are essential for ensuring the safety and efficiency of the air traffic management (ATM) system. However, due to the inherent spatial and temporal dependencie...
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Label-constrained shortest path query processing on road networks
Computing the shortest path between two vertices is a fundamental problem in road networks. Most of the existing works assume that the edges in the road networks have no labels, but in many real applications, ...
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A lightweight early forest fire and smoke detection method
Forest fire is natural disasters that are sudden, destructive and difficult to handle and rescue, with millions of hectares of forests burned every year all over the world, causing serious ecological damage, l...
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Robust topology optimization with interval field model: on the spatially varied non-probabilistic uncertainty of material property, loading and geometry
In this work, we introduce the non-probabilistic uncertainties of spatial variation into the topology optimization problem. We investigate the material properties, geometry and loading uncertainties. A recentl...
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Open AccessMulti-scale feature flow alignment fusion with Transformer for the microscopic images segmentation of activated sludge
Accurate microscopic images segmentation of activated sludge is essential for monitoring wastewater treatment processes. However, it is a challenging task due to poor contrast, artifacts, morphological similar...
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Open AccessGraphSAGE++: Weighted Multi-scale GNN for Graph Representation Learning
Graph neural networks (GNNs) have emerged as a powerful tool in graph representation learning. However, they are increasingly challenged by over-smoothing as network depth grows, compromising their ability to ...
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Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning
Numerous studies have demonstrated that human microRNAs (miRNAs) and diseases are associated and studies on the microRNA-disease association (MDA) have been conducted. We developed a model using a low-rank app...