45 Result(s)
within
**yi Yao
Engineering
Artificial Intelligence
Complex Systems
Control, Robotics, Mechatronics
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Article
A fine-grained convolutional recurrent model for obstructive sleep apnea detection
Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing disorder that leads to various health issues such as hypertension, heart disease, diabetes, and stroke. In order to achieve a convenient, ro...
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Article
A multi-label image classification method combining multi-stage image semantic information and label relevance
Multi-label image classification (MLIC) is a fundamental and highly challenging task in the field of computer vision. Most methods usually only focus on the inter-label association or the way to extract image ...
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Article
Robust graph neural networks with Dirichlet regularization and residual connection
Graph Neural Network (GNN) has attracted considerable research interest in various graph data modeling tasks. Most GNNs require efficient and sufficient label information during training phase. However, in ope...
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A double-layer attentive graph convolution networks based on transfer learning for dynamic graph classification
In practical scenarios, many graphs dynamically evolve over time. The new node classification without labels and historical information is challenging. To address this challenge, we design a double-layer atten...
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Article
Entropy regularized fuzzy nonnegative matrix factorization for data clustering
Clustering high-dimensional data is very challenging due to the curse of dimensionality. To address this problem, low-rank matrix approximations are widely used to identify the underlying low-dimensional struc...
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Article
Brain-inspired learning to deeper inductive reasoning for video captioning
Video captioning requires deeply understanding video content, describing the video concisely and accurately in one sentence. Since the video usually contains multiple atomic events, conventional methods using ...
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Article
Optimizing traffic efficiency via a reinforcement learning approach based on time allocation
With the increasing scale of urbanization, traffic congestion has caused a severe negative impact on the efficiency of social development. To this end, a series of intelligent traffic light control methods bas...
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Article
L-fuzzy covering rough sets based on complete co-residuated lattice
For \(L=(L,\odot ,\rightsquigarrow )\) L = ( ...
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Article
Sparse multi-label feature selection via dynamic graph manifold regularization
Multi-label feature selection is a hot topic in multi-label high-dimensional data processing. However, some multi-label feature selection models use manifold graphs. Due to its fixed graph matrix, the model pe...
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Article
Streamer temporal action detection in live video by co-attention boundary matching
With the advent of the we-media era, live video is being sought after by more and more web users. How to effectively identify and supervise the streamer activities in the live video is of great significance to...
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Article
A shadowed set-based three-way clustering ensemble approach
As one of the essential topics in ensemble learning, a clustering ensemble is employed to aggregate multiple base patterns to generate a single clustering output for improving robustness and quality. In this w...
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Article
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation
As a typical large-scale multiobjective optimization problem extracted from real-world applications, the voltage transformer ratio error estimation (TREE) problem is challenging for existing evolutionary algor...
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Article
Concentrated hashing with neighborhood embedding for image retrieval and classification
Hashing learning is efficient for large-scale image retrieval by using the nearest neighbor search with binary codes instead of continuous representations. With the success of deep neural networks in related t...
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Article
The design of evolutionary feature selection operator for the micro-expression recognition
The evolutionary algorithm is widely deployed in the feature selection task, but the complexity of the solution for the feature selection problem grows exponentially with the increase of feature dimensions. To...
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Article
A model of three-way approximation of intuitionistic fuzzy sets
A three-way approximation of a fuzzy set, as a generalization of the core and the support of the fuzzy set, provides a generalized qualitatively interpretation of a fuzzy set. An intuitionistic fuzzy set (IFS)...
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Article
Improved VGG model-based efficient traffic sign recognition for safe driving in 5G scenarios
The rapid development and application of AI in intelligent transportation systems has widely impacted daily life. The application of an intelligent visual aid for traffic sign information recognition can provi...
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Article
Model-agnostic multi-stage loss optimization meta learning
Model Agnostic Meta Learning (MAML) has become the most representative meta learning algorithm to solve few-shot learning problems. This paper mainly discusses MAML framework, focusing on the key problem of so...
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Article
DEP-TSPmeta: a multiple criteria Dynamic Ensemble Pruning technique ad-hoc for time series prediction
Time series prediction (TSP) is a process of using data collected at different times in the past for statistical analysis, so as to speculate on the trend of things, where the non-stationary and non-linear cha...
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Article
Integrated scheduling problem for earth observation satellites based on three modeling frameworks: an adaptive bi-objective memetic algorithm
With the number of on-orbit earth observation satellites (EOSs) increases, satellite image data downlink scheduling problem is becoming the bottleneck for restricting EOSs to capture more image data. Therefore...
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Article
L-fuzzifying approximation operators derived from general L-fuzzifying neighborhood systems
For a completely distributive De Morgan algebra L, we develop a general framework of L-fuzzy rough sets. Said precisely, we introduce a pair of L-fuzzy approximation operators, called upper and lower L-fuzzifying...
