Blar i NTNU Open på forfatter "Dai, Hong-Ning"

Viser treff 21-40 av 40

    • Fraud Risk Monitoring System for E-Banking Transactions 

      Guo, Chaonian; Wang, Hao; Dai, Hong-Ning; Cheng, Shuhan; Wang, Tongsen (Chapter, 2018)
      Fraudulent e-banking transactions have caused great economic loss every year. Thus, it is important for financial institutions to make the e-banking system more secure, and improve the fraud detection system. Researches ...

    • Fused 3-Stage Image Segmentation for Pleural Effusion Cell Clusters 

      Ma, Sike; Zhao, Meng; Wang, Hao; Shi, Fan; Sun, Xuguo; Chen, Shengyong; Dai, Hong-Ning (Chapter, 2021)
      The appearance of tumor cell clusters in pleural effusion is usually a vital sign of cancer metastasis. Segmentation, as an indispensable basis, is of crucial importance for diagnosing, chemical treatment, and prognosis ...

    • 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 ...

    • Impact of outcome-based education on software engineering teaching: A case study 

      Dai, Hong-Ning; Wei, Wei; Wang, Hao; Wong, Tak-Lam (Chapter, 2017)
      This paper investigates the impact of outcome- based education (OBE) on students' learning achievement from a software engineering (SE) program. It is not easy to transform an SE curriculum from traditional knowledge-based ...

    • 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 ...

    • Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint 

      Wang, Qiu; Dai, Hong-Ning; Cheang, Chak Fong; Wang, Hao (Journal article; Peer reviewed, 2017)
      Extensive attention has been given to the use of cognitive radio technology in underwater acoustic networks since the acoustic spectrum became scarce due to the proliferation of human aquatic activities. Most of the recent ...

    • MHDT: A Deep-Learning-Based Text Detection Algorithm for Unstructured Data in Banking 

      Ma, Shenglan; Yang, Lingling; Wang, Hao; Xiao, Hong; Dai, Hong-Ning; Cheng, Shuhan; Wang, Tongsen (Chapter, 2019)
      Text detection in natural scene images becomes highly demanded for unstructured data in banking. In this paper, we propose a new deep learning algorithm called MSER, Hu-moment and Deep learning for Text detection (MHDT) ...

    • On Capacity and Delay of Multichannel Wireless Networks With Infrastructure Support 

      Dai, Hong-Ning; Wong, Raymond Chi-Wing; Wang, Hao (Journal article; Peer reviewed, 2017)
      In this paper, we propose a novel multi-channel network with infrastructure support, called an MC-IS network,which has not been studied in the literature. To the best of our knowledge, we are the first to study such an ...

    • On Modeling Eavesdropping Attacs in Underwater Acoustic Sensor Networks 

      Wang, Qiu; Dai, Hong-Ning; Li, Xuran; Wang, Hao; Xiao, Hong (Journal article; Peer reviewed, 2016)
      The security and privacy of underwater acoustic sensor networks has received extensive attention recently due to the proliferation of underwater activities. This paper proposes an analytical model to investigate the ...

    • On performance analysis of protective jamming schemes in wireless sensor networks 

      Li, Xuran; Dai, Hong-Ning; Wang, Hao; Xiao, Hong (Peer reviewed; Journal article, 2016)
      Wireless sensor networks (WSNs) play an important role in Cyber Physical Social Sensing (CPSS) systems. An eavesdropping attack is one of the most serious threats to WSNs since it is a prerequisite for other malicious ...

    • 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 ...

    • R-PCNN Method to Rapidly Detect Objects on THz Images in Human Body Security Checks 

      Xiao, Hong; Zhang, Rongyue; Wang, Hao; Zhu, Feng; Zhang, Cheng; Dai, Hong-Ning; Zhou, Yubin (Chapter, 2018)
      Terahertz human body security images have low resolution and a low signal-to-noise ratio. In the traditional method, image segmentation, positioning, and identification are applied to detect objects carried by humans in ...

    • SCTSC: A Semicentralized Traffic Signal Control Mode With Attribute-Based Blockchain in IoVs 

      Cheng, Lichen; Liu, Jiqiang; Xu, Guangquan; Zhang, Zonghua; Wang, Hao; Dai, Hong-Ning; Wu, Yulei; Wang, Wei (Journal article; Peer reviewed, 2019)
      Assisting traffic control is one of the most important applications on the Internet of Vehicles (IoVs). Traffic information provided by vehicles is desired since drivers or vehicle sensors are sensitive in perceiving or ...

    • Security-Driven Hybrid Collaborative Recommendation Method for Cloud-based IoT Services 

      Meng, Shunmei; Gao, Zijian; Li, Qianmu; Wang, Hao; Dai, Hong-Ning; Qi, Lianyong (Peer reviewed; Journal article, 2020)
      The rapid development of IoT (Internet of Things) systems and cloud techniques has paved the way for recommender systems to facilitate the daily life of users. However, the accompanying cybersecurity risks, such as ...

    • SEENS: Nuclei segmentation in Pap smear images with selective edge enhancement 

      Zhao, Meng; Wang, Hao; Han, Ying; Wang, Xiaokang; Dai, Hong-Ning; Sun, Xuguo; Zhang, Jin; Pedersen, Marius (Peer reviewed; Journal article, 2020)
      Accurate nuclei segmentation, as an indispensable basis and core link for multi-cell cervical image analysis, plays an important role in automatic pre-cancer detection. However, poor image quality due to the uneven staining, ...

    • 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 ...

    • UAV-enabled data acquisition scheme with directional wireless energy transfer for Internet of Things 

      Liu, Yalin; Dai, Hong-Ning; Wang, Hao; Imran, Muhammad; Wang, Xiaofeng; Shoaib, Muhammad (Peer reviewed; Journal article, 2020)
      Low power Internet of Things (IoT) is suffering from two limitations: battery-power limitation of IoT nodes and inflexibility of infrastructure-node deployment. In this paper, we propose an Unmanned Aerial Vehicle (UAV)-enabled ...

    • UAV-enabled friendly jamming scheme to secure industrial Internet of Things 

      Wang, Qubeijian; Dai, Hong-Ning; Wang, Hao; Xu, Guangquan; Sangaiahs, Arun Kumar (Journal article; Peer reviewed, 2019)
      Eavesdropping is a critical threat to the security of industrial Internet of things (IIoT) since many malicious attacks often follow eavesdropping activities. In this paper, we present an anti-eavesdropping scheme based ...

    • 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 ...