6 Result(s)
within
Conference Paper
Jia-** Lin
Computational Intelligence
Data Engineering
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Chapter and Conference Paper
The Implement of a Reconfigurable Intelligence Trust Chain Platform with Anti-counterfeit Traceable Version Function for the Customized System-Module-IC
Today, information technology (IT) and operational technology (OT) accelerate the development of Intelligence of Things (IoT) systems, which consist of modular integrated circuits (ICs). However, the existing ...
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Chapter and Conference Paper
Analysis of the Causal Relationship Among Diversification Strategies, Financial Performance and Market Values by the Three-Stage Least Squares (3SLS)
According to many studies, product diversification will benefit companies and motivate companies to carry out business diversification, including improving market competitiveness, spreading business risks and ...
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Chapter and Conference Paper
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?
Anomaly detection is the process of identifying unexpected events or abnormalities in data, and it has been applied in many different areas such as system monitoring, fraud detection, healthcare, intrusion det...
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Chapter and Conference Paper
RePAD: Real-Time Proactive Anomaly Detection for Time Series
During the past decade, many anomaly detection approaches have been introduced in different fields such as network monitoring, fraud detection, and intrusion detection. However, they require understanding of d...
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Chapter and Conference Paper
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction
Over the past decade, several approaches have been introduced for short-term traffic prediction. However, providing fine-grained traffic prediction for large-scale transportation networks where numerous detec...
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Chapter and Conference Paper
Study on the Factors Affecting Sharing Behavior of Social Media Platform Users
User’s behavior on social media platform becomes so complicate that only linear approach is hard to examine the structural issue. Therefore, the back propagation neural network is employed in this study since ...
