Varshney, Deepika Vishwakarma, Dinesh Kumar
Published in
Data & knowledge engineering
The spreading of misleading information on social web platforms has fuelled massive panic and confusion among the public regarding the Corona disease, the detection of which is of paramount importance. Previous studies mainly relied on a specific web platform to collect crucial evidence to detect fake content. The analysis identifies that retrievin...
Lv, Zhiqiang Li, Jianbo Dong, Chuanhao Li, Haoran Xu, Zhihao
Published in
Data & knowledge engineering
The research of traffic revitalization index can provide support for the formulation and adjustment of policies related to urban management, epidemic prevention and resumption of work and production. This paper proposes a deep model for the prediction of urban Traffic Revitalization Index (DeepTRI). The DeepTRI builds model for the data of COVID-19...
Kavuluru, Ramakanth Lu, Yuan
Published in
Data & knowledge engineering
Trained indexers at the National Library of Medicine (NLM) manually tag each biomedical abstract with the most suitable terms from the Medical Subject Headings (MeSH) terminology to be indexed by their PubMed information system. MeSH has over 26,000 terms and indexers look at each article's full text while assigning the terms. Recent automated atte...
Dorn, Christoph Skopik, Florian Schall, Daniel Dustdar, Schahram
Published in
Data & knowledge engineering
Web-based collaboration and virtual environments supported by various Web 2.0 concepts enable the application of numerous monitoring, mining and analysis tools to study human interactions and team formation processes. The composition of an effective team requires a balance between adequate skill fulfillment and sufficient team connectivity. The und...
