Blar i NTNU Open på forfatter "Zhou, Junhao"
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Control Strategy for Denitrification Efficiency of Coal-fired Power Plant Based on Deep Reinforcement Learning
Fu, Jigao; Xiao, Hong; Wang, Hao; Zhou, Junhao (Peer reviewed; Journal article, 2020)The optimal control of denitrification system in coal-fired power plants in China has recently received widespread attention. The accurate prediction of denitrification efficiency and formulate control strategy of ... -
Exploring Self-attention Mechanism of Deep Learning in Cloud Intrusion Detection
Lu, Chenmao; Dai, Hong-Ning; Zhou, Junhao; Wang, Hao (Chapter, 2021)Cloud computing offers elastic and ubiquitous computing services, thereby receiving extensive attention recently. However, cloud servers have also become the targets of malicious attacks or hackers due to the centralization ... -
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
Zhang, Zhuorui; Dai, Hong-Ning; Zhou, Junhao; Mondal, Subrota Kumar; García, Miguel Martínez; Wang, Hao (Peer reviewed; Journal article, 2021)After the invention of Bitcoin as well as other blockchain-based peer-to-peer payment systems, the cryptocurrency market has rapidly gained popularity. Consequently, the volatility of the various cryptocurrency prices ... -
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 ... -
Wide-Attention and Deep-Composite Model for Traffic Flow Prediction in Transportation Cyber-Physical Systems
Zhou, Junhao; Dai, Hong-Ning; Wang, Hao; Wang, Tian (Peer reviewed; Journal article, 2020)Recently, traffic flow prediction has drawn significant attention because it is a prerequisite in intelligent transportation management in urban informatics. The massively-available traffic data collected from various ...