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Chapter and Conference Paper
A Robust and Dynamically Enhanced Neural Predictive Model for Foreign Exchange Rate Prediction
In today’s highly interlinked international economy, accurate and timely real-time predictions of foreign exchange (fx) market offer tremendous business, social and political values to our community. In this w...
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Chapter and Conference Paper
Structured Learning-Based Sinusoidal Modelling for Gear Diagnosis and Prognosis
In this paper, a structured learning based sinusoidal modelling approach is developed for the prognostics of gear tooth cracking process. According to the vibration signal properties, a learning structure is f...
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Chapter and Conference Paper
Early Diagnosis of Alzheimer’s Disease by Ensemble Deep Learning Using FDG-PET
Early diagnosis of Alzheimer’s disease (AD) is critical in preventing from irreversible damages to brain cognitive functions. Most computer-aided approaches consist of extraction of image features to describe ...