45 Result(s)
within
Artificial Intelligence
Complex Systems
Control, Robotics, Mechatronics
**yi Yao
Engineering
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Article
Attribution reduction based on sequential three-way search of granularity
Most existing results about attribute reduction are reported by considering one and only one granularity, especially for the strategies of searching reducts. Nevertheless, how to derive reduct from multi-granu...
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Article
Tri-level thinking: models of three-way decision
The underlying philosophy of three-way decision is thinking in threes, namely, understanding and processing a whole through three distinct and related parts. One can formulate many concrete models of three-way...
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Article
Pothole detection using location-aware convolutional neural networks
Poor road conditions, such as potholes, are a nuisance to society, which would annoy passengers, damage vehicles, and even cause accidents. Thus, detecting potholes is an important step toward pavement mainten...
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Article
Interactive learning for joint event and relation extraction
We tackle the problems of both event and entity relation extraction, and come up with a novel method to implement joint extraction: iteratively interactive learning. This method is motivated by the empirical f...
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Article
An intelligent scheduling algorithm for complex manufacturing system simulation with frequent synchronizations in a cloud environment
For cloud-based, large-scale complex manufacturing system simulation (CMSS), allocating appropriate service instances (virtual machines or nodes) is a promising way to improve execution efficiency. However, th...
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Article
Recommendations based on user effective point-of-interest path
Point-of-interest (POI) recommendation has become an important service in location-based social networks. Existing recommendation algorithms provide users with a diverse pool of POIs. However, these algorithms...
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Article
An effective Bayesian network parameters learning algorithm for autonomous mission decision-making under scarce data
In this paper, a constrained parameter evolutionary learning (CPEL) algorithm for Bayesian network (BN) parameters learning under scarce data is proposed, which can be applied to UAV autonomous mission decisio...
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Article
An analysis of three types of partially-known formal concepts
Formal concept analysis with an incomplete context has received much attention recently, where an object is known to have one set of attributes and not have another set of attributes; for the rest of attribute...
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Article
Segmentation of the left ventricle in cardiac MRI using a hierarchical extreme learning machine model
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) images is an essential step for calculation of clinical indices such as stroke volume, ejection fraction. In this paper, a ...
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Article
\(H_{\infty }\) filter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity
The paper is concerned with the problem of \(H_{\infty }\) ...
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Article
Tracking human poses in various scales with accurate appearance
Building a robust and fully automatic framework for human motion tracking in 2D images and videos remains a challenging task in computer vision due to cluttered backgrounds, self-occlusions, variations of body...
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Article
TDUP: an approach to incremental mining of frequent itemsets with three-way-decision pattern updating
Finding an efficient approach to incrementally update and maintain frequent itemsets is an important aspect of data mining. Earlier incremental algorithms focused on reducing the number of scans of the origina...
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Article
Three-way decisions model based on tolerance rough fuzzy set
Based on Bayesian decision theory, three-way decisions model (TWDM) proposed by Yao gives new semantic interpretations of positive region, negative region and boundary region. Some extensions of TWDM have been...
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Article
Interval sets and three-way concept analysis in incomplete contexts
In situations with incomplete information, we may have only partial knowledge about a concept. This motivates the introduction of the notion of a partially-known concept represented by a set of known instances...
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Article
Robust stability analysis of uncertain genetic regulatory networks with mixed time delays
This study is concerned with the robust stability problem of uncertain genetic regulatory networks (GRNs) with random discrete time delays and distributed time delays which exist both in translation process an...
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Article
Applications of repeat degree to coverings of neighborhoods
Covering of neighborhoods is an important concept in covering-based rough sets. There are many unsolved issues related to coverings of neighborhoods. The concept of repeat degree is proposed to study under wha...
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Article
Extreme learning machine via free sparse transfer representation optimization
In this paper, we propose a general framework for Extreme Learning Machine via free sparse transfer representation, which is referred to as transfer free sparse representation based on extreme learning machine...
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Article
Finite-time synchronization of chaotic neural networks with mixed time-varying delays and stochastic disturbance
This paper treats of the finite-time stochastic synchronization problem of chaotic dynamic neural networks with mixed time-varying delays and stochastic disturbance. State feedback controller and adaptive cont...
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Article
Synchronization of a class of memristive neural networks with time delays via sampled-data control
In this paper, the synchronization issues for chaotic memristive neural networks with time delays using sampled-data feedback controller are formulated and studied. By constructing a useful Lyapunov functional...
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Article
Adaptive exponential synchronization of delayed Cohen–Grossberg neural networks with discontinuous activations
This paper treats of the exponential synchronization issue of delayed Cohen–Grossberg neural networks with discontinuous activations. By utilizing Lyapunov stability theory, an adaptive controller is designed ...
