41 Result(s)
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Chapter and Conference Paper
Research on the Regulation and Network Security of Smart Tourism Public Information Service Platform
The new economy represented by the digital economy has become a new engine of economic growth, and data as a core production factor has become a fundamental strategic resource. In order to play the role of dig...
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Chapter and Conference Paper
Web API Verifier for IoTtalk and Its Applications
With the vigorous development of Internet of Things (IoT) applications, many IoT applications based on IoTtalk, such as EduTalk, ScratchTalk, and other X-Talk systems, have been created in recent years. Most o...
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Chapter and Conference Paper
Graph Convolutional Networks Using Node Addition and Edge Reweighting
Graph convolutional networks (GCNs) provide a promising way to explore datasets that have graph structures in nature. The presence of corrupted or incomplete graphs, however, dramatically decreases the perform...
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Chapter and Conference Paper
Trajectory Clustering Based Oceanic Anomaly Detection Using Argo Profile Floats
The observation data of Argo profile floats are very crucial for long-term climate change and natural variability, which reflect three-dimensional distribution of temperature and salinity in the sea. In order ...
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Chapter and Conference Paper
Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey
This paper provides an overview of numerical methods in order to so...
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Chapter and Conference Paper
Fast Training of Deep LSTM Networks
Deep recurrent neural networks (RNN), such as LSTM, have many advantages over forward networks. However, the LSTM training method, such as backward propagation through time (BPTT), is really slow.
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Chapter and Conference Paper
The Clothing Design for the Elderly Care
The physiological functions of the elderly will gradually degenerate with age, and their daily life will require special care as well. With the aging population around the globe, the elderly population has inc...
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Chapter and Conference Paper
A Novel Matching Technique for Two-Sided Paper Fragments Reassembly
Paper fragments reassembly has been playing an important role in many places such as public security and even archaeology. Combined with the travelling salesman problem, a novel approach based on the matching ...
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Chapter and Conference Paper
Exploring the Relationships Between EFL Learners’ Usage of Technology and Their Approaches to Learning English
Objective: Nowadays, technology plays an important role in learning; hence, it is important to explore the relationships between EFL learners’ usage of technology and their approaches to learning English. Method:
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Chapter and Conference Paper
Age and Computer Skill Level Difference in Aging-Centered Design: A Case Study of a Social Type Website
According to the estimation of US Census Bureau, the age demographic will change from 13 percent of the population aged 65 and older in 2010 to 19 percent in 2030 [1]. With the fast growing number of elderly popu...
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Chapter and Conference Paper
Object-Oriented User Interface Customization: Reduce Complexity and Improve Usability and Adaptation
The purpose of this research is to improve the usability and adaptation of complex information system (CIS) by reducing the complexity. The paper introduces CIS, the complexity of CIS, usability and adaptation...
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Chapter and Conference Paper
Fuzzy Modeling from Black-Box Data with Deep Learning Techniques
Deep learning techniques have been successfully used for pattern classification. These advantage methods are still not applied in fuzzy modeling. In this paper, a novel data-driven fuzzy modeling approach is p...
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Chapter and Conference Paper
Experimental Study on Comfort Ranges of Manual Operation in Standing Position
The experimental study was conducted to assess the comfort ranges for manual operation in standing position. Twenty healthy young people (10 males and 10 females) were recruited as study subjects. With the exa...
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Chapter and Conference Paper
Detecting the Data Group Most Prone to a Specific Disguise Value
Disguised missing data, an emerging data quality problem coined by Pearson in 2006, is a special kind of missing data that refers to values not exactly missing in the data entries, but cannot reflect the fact ...
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Chapter and Conference Paper
Indirect Adaptive Control with Fuzzy Neural Networks via Kernel Smoothing
In this paper, a neurofuzzy adaptive control framework for discrete-time systems based on kernel smoothing regression is developed. Kernel regression is a nonparametric statistics technique used to determine a...
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Chapter and Conference Paper
Vertex Unique Labelled Subgraph Mining
With the successful development of efficient algorithms for Frequent Subgraph Mining (FSM), this paper extends the scope of subgraph mining by proposing Vertex Unique labelled Subgraph Mining (VULSM). VULSM ha...
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Chapter and Conference Paper
Designation of R&D on Pig Production Intelligent Monitoring and Early Warning
This paper analyzed live pig production, consumption and price, and proposed the monitor system and the early warning mechanism. It is indicated that the study has a theoretical and practical significance in t...
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Chapter and Conference Paper
Vertex Unique Labelled Subgraph Mining for Vertex Label Classification
A mechanism is presented to classify (predict) the values associated with vertices in a given unlabelled graph or network. The proposed mechanism is founded on the concept of Vertex Unique Labelled Subgraphs (...
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Chapter and Conference Paper
A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm
This paper presents a method for classification of imbalanced splice-site classification problems, the proposed method consists of the generation of artificial instances that are incorporated to the dataset. A...
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Chapter and Conference Paper
Liver Cell Nucleuses and Vacuoles Segmentation by Using Genetic Algorithms for the Tissue Images
This paper proposes image segmentation methods for cell nucleuses and vacuoles in the liver fibrosis tissue images. The novel idea is to segment the objects by extracting the image features to determine the re...
