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Article
Open AccessA computational fluid dynamic-based method for analyzing the nonlinear relationship between windage loss and pressure in a geotechnical centrifuge
Temperature control is an important limitation to further increase in geotechnical centrifuge power. Although vacuum pumps can reduce windage loss, they also negatively affect heat transfer performance. Theref...
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Article
Adaptive CCR-ELM with variable-length brain storm optimization algorithm for class-imbalance learning
Class-specific cost regulation extreme learning machine (CCR-ELM) can effectively deal with the class imbalance problems. However, its key parameters, including the number of hidden nodes, the input weights, t...
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Article
Open AccessDual antiplatelet therapy reduced stroke risk in transient ischemic attack with positive diffusion weighted imaging
Dual antiplatelet therapy (DAPT) reduced stroke risk in high-risk transient ischemic attack (TIA) patients assessed by ABCD2 score. Patients with positive diffusion-weighted imaging (DWI) were identified as im...
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Chapter and Conference Paper
Multi-objective Combinatorial Generative Adversarial Optimization and Its Application in Crowdsensing
With the increasing of the decision variables in multi-objective combinatorial optimization problems, the traditional evolutionary algorithms perform worse due to the low efficiency for generating the offsprin...
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Chapter and Conference Paper
Extended Kalman Filter-Based Adaptively Sliding Mode Control with Dead-Zone Compensator for an Anchor-Hole Driller
To improve the control performance of the swing angle for an anchor-hole, an extended Kalman filter-based adaptively sliding mode control with dead-zone compensator is developed, with the purpose of tracking t...
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Article
Open AccessDown-regulation of microRNA-144-3p and its clinical value in non-small cell lung cancer: a comprehensive analysis based on microarray, miRNA-sequencing, and quantitative real-time PCR data
Previous studies have shown that miR-144-3p might be a potential biomarker in non-small cell lung cancer (NSCLC). Nevertheless, the comprehensive mechanism behind the effects of miR-144-3p on the origin, diffe...
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Article
Interval multi-objective quantum-inspired cultural algorithms
It had been proved that the knowledge may promote more efficient evolution. Considering the knowledge defined in different form, we present interval multi-objective quantum-inspired cultural algorithms so as t...
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Chapter and Conference Paper
An Improved GMM-Based Moving Object Detection Method Under Sudden Illumination Change
In traditional GMM-based moving object detection method, the foreground was segmented by comparing the current frame with the constructed Gaussian distributions, which might occur the detection failure under s...
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Chapter and Conference Paper
VPSO-Based CCR-ELM for Imbalanced Classification
In class-specific cost regulation extreme learning machine (CCR-ELM) for the class imbalance problems, the key parameters, including the number of hidden nodes, the input weights, the hidden biases and the tra...
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Article
Cultural particle swarm optimization algorithms for uncertain multi-objective problems with interval parameters
Traditional dominant comparison never fits for uncertain multi-objective optimization problems with interval parameters. Moreover, existing particle swarm optimization algorithm for solving these uncertain opt...
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Article
A novel knowledge-guided evolutionary scheduling strategy for energy-efficient connected coverage optimization in WSNs
One of the most important challenges in designing wireless sensor network is how to construct full-connected network containing least active sensor nodes with satisfied quality of services, such as the coverag...
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Article
Open AccessA PSO-based multi-objective multi-label feature selection method in classification
Feature selection is an important data preprocessing technique in multi-label classification. Although a large number of studies have been proposed to tackle feature selection problem, there are a few cases fo...
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Chapter and Conference Paper
An Improved Weighted ELM with Krill Herd Algorithm for Imbalanced Learning
The traditional weighted extreme learning machine chose input weights and hidden biases randomly. This made the algorithm responding slowly and led to worse generalization. In order to overcome the shortcoming...
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Chapter and Conference Paper
Cultural Particle Swarm Optimization Algorithms for Interval Multi-Objective Problems
Traditional dominant comparison never fits for the interval multi-objective optimization problems. The particle swarm optimization for solving these problems cannot adaptively adjust the key parameters and eas...
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Chapter and Conference Paper
Multi-objective Quantum Cultural Algorithm and Its Application in the Wireless Sensor Networks’ Energy-Efficient Coverage Optimization
Whether wireless sensor network covers the target field availably is measured by the network cover rate and the node redundancy rate. To solve this multi-objective optimization problem, multi-objective quantum...
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Chapter and Conference Paper
Kernel Based Manifold Learning for Complex Industry Fault Detection
Accurate and rapid fault detection based on the data from industry process is very important for the process control. This paper introduces a new multivariate statistical process control approach for fault det...
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Chapter and Conference Paper
The Coverage Optimization for Wireless Sensor Networks Based on Quantum-Inspired Cultural Algorithm
In order to properly distribute sensor nodes in wireless sensor networks, a coverage model considering maximum coverage ratio and minimum redundancy is given and the optimization strategy based on quantum-insp...
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Chapter and Conference Paper
Multi-spectral Remote Sensing Images Classification Method Based on Adaptive Immune Clonal Selection Culture Algorithm
In immune clonal selection algorithm for remote sensing images classification problem, only clonal selection mechanism is adopted. It makes the exploitation and exploration of the algorithm limited. To solve a...
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Chapter and Conference Paper
Multi-population Cooperative Cultural Algorithms
Based on the dual structure of culture algorithm, a multi-population cooperative cultural algorithm is proposed by embedding the competition cooperative genetic algorithm into the population space of culture a...
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Chapter and Conference Paper
Supervised Isomap Based on Pairwise Constraints
Most existing typical dimension reduction methods, for example Isomap algorithm, are hard to deal with the problem of violation of pairwise constraint. In this paper, a pairwise-constraint supervised Isomap al...
