Blar i Institutt for datateknologi og informatikk på tidsskrift "IEEE Transactions on Computational Social Systems"

Viser treff 1-5 av 5

    • A Rhombic Dodecahedron Topology for Human-Centric Banking Big Data 

      Wang, Hao; Ma, Shenglan; Dai, Hong-Ning (Journal article; Peer reviewed, 2019)
      Banks are collecting an unprecedentedly large amount of data about their customers from difference sources, considering their cyber, physical, social activities. The focus of this paper is to study the problem of information ...

    • Depression Screening in Humans With AI and Deep Learning Techniques 

      Wani, Mudasir Ahmad; ELAffendi, Muhammad A.; Shakil, Kashish Ara; Imran, Ali Shariq; El-Latif, Ahmed A. Abd (Journal article; Peer reviewed, 2022)

    • Movie Recommendation System Using Sentiment Analysis from Microblogging Data 

      Kumar, Sudhanshu; De, Kanjar; Roy, Partha Pratim (Peer reviewed; Journal article, 2020)
      Recommendation systems (RSs) have garnered immense interest for applications in e-commerce and digital media. Traditional approaches in RSs include such as collaborative filtering (CF) and content-based filtering (CBF) ...

    • 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 ...

    • 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, ...