• Relevant Feedback Based Accurate and Intelligent Retrieval on Capturing User Intention for Personalized Websites 

      Tang, Yayuan; Wang, Hao; Guo, Kehua; Xiao, Yizhe; Chi, Tao (Journal article; Peer reviewed, 2018)
      With the rapid growth of networking, cyber–physical–social systems (CPSSs) provide vast amounts of information. Aimed at the huge and complex data provided by networking, obtaining valuable information to meet precise ...
    • Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach 

      Ren, Lei; Zhao, Li; Hong, Sheng; Zhao, Shiqiang; Wang, Hao; Zhang, Lin (Journal article; Peer reviewed, 2018)
      Accurate prediction of remaining useful life (RUL) of lithium-ion battery plays an increasingly crucial role in the intelligent battery health management systems. The advances in deep learning introduce new data-driven ...
    • Scalable And User-Friendly Simulation 

      Rutle, Adrian; Wang, Hao; Bye, Robin Trulssen; Osen, Ottar (Chapter, 2015)
      Simulation is an important technique for integrating interacting models for predicting results of hypothetical scenarios. A typical application area for simulators is virtual prototyping (VP). In VP, simulators replace the ...
    • 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 ...
    • Secure User Privacy in Population Physique Clustering and Prediction based on Sport Questionnaires 

      Tian, Chunlan; Zhang, Chongmin; Huang, Wanli; Wang, Hao (Journal article; Peer reviewed, 2020)
      Population physique is one of the key aspects for measuring and evaluating the healthy degree or living level of the population of a nation. Many population physique evaluation models or tools have been developed in the ...
    • SecureIoT: Hop-Count Based Service-Oriented Efficient Security Solution for IoT 

      Kar, Pushpendu; Misra, Sudip; Mandal, Ankush Kumar; Wang, Hao (Chapter, 2018)
      Internet of Things (IoT) is a network of physical devices which are accessible through the Internet. All the devices are assigned with an IP address and are competent enough to collect data and provide some services. The ...
    • Security of the Cyber Enabled Ship 

      Kavallieratos, Georgios (Doctoral theses at NTNU;2021:198, Doctoral thesis, 2021)
      The maritime industry is actively engaged with developing remotely controlled and autonomous ships to sail in the near future. Remotely controlled and autonomous vessels have the potential to transform the maritime transport ...
    • 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, ...
    • Semi-supervised Network for Detection of COVID-19 in Chest CT Scans 

      Mohammed, Ahmed Kedir; Wang, Congcong; Zhao, Meng; Ullah, Mohib; Naseem, Rabia; Wang, Hao; Pedersen, Marius; Alaya Cheikh, Faouzi (Peer reviewed; Journal article, 2020)
      Deep Learning-based chest Computed Tomography (CT) analysis has been proven to be effective and efficient for COVID-19 diagnosis. Existing deep learning approaches heavily rely on large labeled data sets, which are difficult ...
    • Sensing Users' Emotional Intelligence in Social Networks 

      Wei, Xiangyu; Xu, Guangquan; Wang, Hao; He, Yongzhong; Han, Zhen; Wang, Wei (Journal article; Peer reviewed, 2019)
      Social networks have integrated into the daily lives of most people in the way of interactions and of lifestyles. The users' identity, relationships, or other characteristics can be explored from the social networking data, ...
    • 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 ...
    • Service Recommendation with High Accuracy and Diversity 

      Wu, Shengqi; Kou, Huaizhen; Lv, Chao; Huang, Wanli; Qi, Lianyong; Wang, Hao (Peer reviewed; Journal article, 2020)
      In recent years, the number of web services grows explosively. With a large amount of information resources, it is difficult for users to quickly find the services they need. Thus, the design of an effective web service ...
    • Skip Truncation for Sentiment Analysis of Long Review Information Based on Grammatical Structures 

      Sun, Mengtao; Hameed, Ibrahim A.; Wang, Hao; Pasquine, Mark (Peer reviewed; Journal article, 2022)
      In reality, some emotional utterances are especially long, such as the critiques of a movie. Compared with short sentences, the sentiment of a longer paragraph is more difficult to be detected. Moreover, longer paragraphs ...
    • Smart data driven quality prediction for urban water source management 

      Wu, Di; Wang, Hao; Seidu, Razak (Journal article; Peer reviewed, 2020)
      A water supply system that integrates water source management, treatment and distribution is a critical infrastructure in urban areas. Traditional water quality research mostly focused on separate aspects, lacking a ...
    • SOS: NDN Based Service-Oriented Game-Theoretic Efficient Security Scheme for IoT Networks 

      Kar, Pushpendu; Misra, Sudip; Mandal, Ankush Kumar; Wang, Hao (Peer reviewed; Journal article, 2021)
      Internet of Things (IoT) is a network of heterogeneous physical devices connected over the Internet. Each of the devices is capable of collecting and processing data. Due to the connection with the Internet, the IoT devices ...
    • Sport Location-Based User Clustering With Privacy-Preservation in Wireless IoT-Driven Healthcare 

      Zhang, Qiyun; Zhang, Yuan; Li, Caizhong; Yan, Chao; Duan, Yucong; Wang, Hao (Peer reviewed; Journal article, 2021)
      The gradual prevalence of Internet of Things (IoT) and wireless communication technologies has enabled the wide adoption of various smart devices (e.g., smart watches) in provisioning the healthcare services to massive ...
    • Study on the assessment method of typhoon regional disaster based on the change of cholorophyll-a concentration in seawater 

      Wu, Di; Zhang, Yu; Wang, Hao; Huang, Mengxing; Feng, Wenlong; Chen, Rouru (Chapter, 2017)
      Due to global climate change, the frequency and uncertainty of typhoon become more and more prominent. When a typhoon disaster occurs, it's an imminent problem to estimate the disaster zone and help ships to move to safer ...
    • TAW: Cost-Effective Threshold Authentication with Weights for Internet of Things 

      Ning, Zhenhu; Xu, Guangquan; Xiong, Naixue; Yang, Yongli; Shen, Changxiang; Panaousis, Emmanouil; Wang, Hao; Liang, Kaitai (Journal article; Peer reviewed, 2019)
      In the Internet of Things, based on the collaboration of sensing nodes, sensing data are collected and transmitted. The collaboration of sensing nodes also plays an important role in the safeguard of the Internet of Things. ...
    • Three-level performance optimization for heterogeneous systems based on software prefetching under power constraints 

      Wang, Zhuowei; Zhao, Wuqing; Wang, Hao; Cheng, Lianglun (Journal article; Peer reviewed, 2018)
      High power consumption has become one of the critical problems restricting the development of high-performance computers. Recently, there are numerous studies on optimizing the execution performance while satisfying the ...