Blar i NTNU Open på forfatter "Zhou, Junhao"
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Gold Price Forecast Based on LSTM-CNN Model
He, Zhanhong; Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Chapter, 2019)An accurate prediction is certainly significant in financial data analysis. Investors have used a series of econometric techniques on pricing, stock selection and risk management but few of them have found great success ... -
Lightweight Convolution Neural Networks for Mobile Edge Computing in Transportation Cyber Physical Systems
Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Peer reviewed; Journal article, 2019)Cloud computing extends Transportation Cyber-Physical Systems (T-CPS) with provision of enhanced computing and storage capability via offloading computing tasks to remote cloud servers. However, cloud computing cannot ... -
Portable Convolution Neural Networks for Traffic Sign Recognition in Intelligent Transportation Systems
Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Chapter; Peer reviewed, 2019)Deep convolutional neural networks (CNN) have the strength in traffic-sign classification in terms of high accuracy. However, CNN models usually contains multiple layers with a large number of parameters consequently ... -
Precious Metal Price Prediction based on Deep Regularization Self-Attention Regression
Zhou, Junhao; He, Zhanhong; Song, Ya Nan; Wang, Hao; Yang, Xiaoping; Lian, Wenjuan; Dai, Hong-Ning (Journal article; Peer reviewed, 2020)It is non-trivial to predict the prices of precious metals since a number of factors can affect the fluctuations of precious metal prices. Either parametric models or machine learning models cannot accurately forecast the ... -
Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM
Zhou, Junhao; Lu, Yue; Dai, Hong-Ning; Wang, Hao; Xiao, Hong (Journal article; Peer reviewed, 2019)Sentiment analysis on Chinese microblogs has received extensive attention recently. Most previous studies focus on identifying sentiment orientation by encoding as many wordproperties as possible while they fail to consider ...