8 Result(s)
within
**ao-Ling Lin
Computer Science
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Article
Dynamic weight-based connectivity recovery in wireless sensor and actor networks
Wireless sensors and actor networks (WSANs) have been widely used in various fields, from basic data collection to precise real-time control and monitoring, including battlefield monitoring, rescue, and explor...
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Chapter and Conference Paper
Study on the Learning Effect of “In-Depth Guidance Strategy” Combined with “Online Digital Teaching Materials” in Multimedia Integrated System Course
Most of the traditional multimedia introductory or multimedia integration courses focus on the communication of theoretical concepts and multimedia applications and imagery, or are based on unit courses for in...
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Chapter and Conference Paper
Edge Computing Based Real-Time Streaming Data Mining Method for Wireless Sensor Networks
Traditional data mining techniques are difficult to be directly applied to wireless sensor networks because of the multidimensional and multilayered characteristics of wireless sensor networks. Based on the th...
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Article
Open AccessAccuracy improvements for cold-start recommendation problem using indirect relations in social networks
Recent advances in Internet applications have facilitated information spreading and, thanks to a wide variety of mobile devices and the burgeoning 5G networks, users easily and quickly gain access to informati...
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Chapter
Language Communities, Corpora, and Cognition
Language data are digitized for analyzing and computing patterns of linguistic form, meaning, and use shaped and reshaped in the interactions of the users in social–cultural contexts in homogeneous or heteroge...
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Chapter and Conference Paper
A Framework for Semantic Interoperability in 3D Tangible Cultural Heritage in Taiwan
Cultural heritage (CH) preservation and management play vital roles in conserving valuable properties and facilitating relevant historical studies on a country. The advanced technologies developed for CH prese...
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Chapter and Conference Paper
Modular Neural Network Rule Extraction Technique in Application to Country Stock Cooperate Governance Structure
Neural networks learn knowledge from data. For a monolithic structure, this knowledge can be easily used but not isolated. The many degrees of freedom while learning make ruler extraction a computationally int...
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Chapter and Conference Paper
Recognition of Fatty Liver Using Hybrid Neural Network
A hybrid neural network based on self-organizing map (SOM) and multilayer perception(MLP) artificial neural network(ANN) is proposed for recognition of fatty liver from B-scan ultrasonic images. Firstly, four ...
