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Chapter and Conference Paper
Retinal Vessel Segmentation Using Multi-scale Generative Adversarial Network with Class Activation Map**
Retinal vessel segmentation plays a significant role in the accurate diagnosis of retinal diseases. However, existing methods commonly omit micro-vessels in retinal images and generate some false-positive vess...
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Article
A new froth image classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process
Intelligent separation is a core technology in the transformation, upgradation, and high-quality development of coal. Realising the intelligent recognition and accurate classification of coal flotation froth i...
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Chapter and Conference Paper
Hand Gesture Recognition in Complex Background Based on YOLOv4
Traditional methods often use a monochrome background such as green as the background so that the recognition process is not affected by the background, but this operation makes recognition limited to the use ...
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Article
Selective attention to historical comparison or social comparison in the evolutionary iterated prisoner’s dilemma game
This paper investigates an evolutionary iterated prisoner’s dilemma (IPD) model of multiple agents, in which agents interact in terms of the pair-wise IPD game while adapting their attitudes towards income str...
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Chapter and Conference Paper
Blockchain Federation Enabled Trustable Internet of Things
The Internet of Things (IoT) provides an infrastructure enabling advanced functions based on interoperable information and communication technologies by interconnecting physical and virtual things. IoT has gai...
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Chapter and Conference Paper
Smartphone Behavior Based Electronical Scale Validity Assessment Framework
In the study, we developed a smartphone-based electronical scale validity assessment framework. 374 college students are recruited to fill in Beck Depression Inventory. A total of 544 filling of scales are col...
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Chapter and Conference Paper
Competitive Analysis of “Buy Online and Pick Up in Store” Channel
In this paper, we model the competition between two firms that each firm can choose a “buy online and pick up in store” (BOPS) channel strategy or an offline channel strategy. We find out when it is optimal fo...
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Chapter and Conference Paper
Blockchain Federation for Complex Distributed Applications
Blockchains are immutable distributed ledger systems usually without a central authority. Blockchains enables people to establish trusted application among untrusted parties. But, the performance of blockchain...
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Chapter and Conference Paper
A Novel Blockchain as a Service Paradigm
Blockchain brings a new vision for decentralized and trusted systems with more security, resiliency and efficiency. But the barrier of deployment is relative high and BaaS (Blockchain as a Service) emerged to ...
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Chapter and Conference Paper
A Comparison Between Two Motion-Onset Visual BCI Patterns: Diffusion vs Contraction
Two motion-onset visual patterns are proposed in this paper. The difference between two patterns is the motion pattern of stimuli. One motion pattern is dot diffusion and another motion pattern is dot contract...
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Chapter and Conference Paper
A Multi-objective Optimization Model for Information System Design
In order to improve the quality of information system, components reuse has been widely developed both in academia and in industry. In this research, we focus on reusable information system development in whic...
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Chapter and Conference Paper
A Multi-objective Programming for Web Services Composition
Web service plays an important role in implementing Service Oriented Architecture (SOA). It is becoming vital to provide an efficient service composition mechanism with respect to user’s requirements. Measurin...
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Chapter and Conference Paper
Sale Channel Selection of Information Products in the Presence of Network Externality
This paper analyzes the decision behaviors of the manufacturer, retailer, and consumers in the presence of network externality, and develops a sale channel model for maximizing the manufacturer’s profit. Based...
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Chapter and Conference Paper
Optimality of Versioning for Information Products Using Niching SSGA
Information products are the most typical products in E-business, and versioning strategy is widely used in the information industry. This paper focuses on the numerical investigation of versioning strategy fo...
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Chapter and Conference Paper
Dynamic Neural Network Ensemble Construction for Classification
Neural network ensemble (NNE) receives increasing attention in recent research among the e-commerce community. In an NNE method, multiple component neural networks are trained and cooperate with each other to ...
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Chapter and Conference Paper
A Novel Subspace Classification Method for Large Datasets Based on Kernel-Based Fisher Discriminant Analysis
With the rapid development of E-business and database, classification for high dimensions in large scale datasets becomes an important task of business intelligence. Recently, kernel-based methods have attract...
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Chapter and Conference Paper
Incorporating Risk Attitude into the Iterated Prisoner’s Dilemma: Application to E-business
The era of E-business has opened up new possibilities for the emergence of cooperation among enterprises. In this paper, the iterated prisoner’s dilemma (IPD), which has been widely studied to understand how c...
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Chapter and Conference Paper
Key-Level Control in Hierarchical Wireless Sensor Network System
In this paper, key-level control method is proposed in hierarchical wireless sensor networks (HWSNs), and the key-level is composed of sensor nodes that only one hop distance to the sink node (OHSs). To guaran...
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Chapter
KPCA and LS-SVM Prediction Model for Hydrogen Gas Concentration
Hydrogen gas concentration forecasting and evaluation is very important for Bio-ethanol Steam Reforming hydrogen production. A lot of methods have been applied in the field of gas concentration forecasting inc...
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Article
A hybrid classification algorithm based on coevolutionary EBFNN and domain covering method
A new hybrid scheme of the elliptical basis function neural network (EBFNN) model combined with the cooperative coevolutionary algorithm (Co-CEA) and domain covering method is presented for multiclass classifi...