Privacy-aware traffic flow prediction based on multi-party sensor data with zero trust in smart city
F Wang, G Li, Y Wang, W Rafique… - ACM Transactions on …, 2023 - dl.acm.org
With the continuous increment of city volume and size, a number of traffic-related urban units
(eg, vehicles, roads, buildings, etc.) are emerging rapidly, which plays a heavy burden on …
(eg, vehicles, roads, buildings, etc.) are emerging rapidly, which plays a heavy burden on …
LSH-aware multitype health data prediction with privacy preservation in edge environment
L Kong, L Wang, W Gong, C Yan, Y Duan, L Qi - World Wide Web, 2022 - Springer
With the increasing development of electronic technology, traditional paper-driven medical
systems have been converting to efficient electronic records that can be easily checked and …
systems have been converting to efficient electronic records that can be easily checked and …
Bidirectional GRU networks‐based next POI category prediction for healthcare
Abstract The Corona Virus Disease 2019 has a great impact on public health and public
psychology. People stay at home for a long time and rarely go out. With the improvement of …
psychology. People stay at home for a long time and rarely go out. With the improvement of …
[Retracted] Gauging the Impact of Artificial Intelligence and Mathematical Modeling in Response to the COVID‐19 Pandemic: A Systematic Review
While the world continues to grapple with the devastating effects of the SARS‐nCoV‐2 virus,
different scientific groups, including researchers from different parts of the world, are trying to …
different scientific groups, including researchers from different parts of the world, are trying to …
A weighted patient network-based framework for predicting chronic diseases using graph neural networks
Chronic disease prediction is a critical task in healthcare. Existing studies fulfil this
requirement by employing machine learning techniques based on patient features, but they …
requirement by employing machine learning techniques based on patient features, but they …
Edge-cloud-enabled matrix factorization for diversified APIs recommendation in mashup creation
F Wang, L Wang, G Li, Y Wang, C Lv, L Qi - World Wide Web, 2022 - Springer
A growing number of web APIs published on the Internet allows mashup developers to
discover appropriate web APIs for polishing mashups. Developers often have to manually …
discover appropriate web APIs for polishing mashups. Developers often have to manually …
Objective evaluation of deep uncertainty predictions for covid-19 detection
Deep neural networks (DNNs) have been widely applied for detecting COVID-19 in medical
images. Existing studies mainly apply transfer learning and other data representation …
images. Existing studies mainly apply transfer learning and other data representation …
A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19
The unprecedented outbreak of coronavirus disease has been spread across the world,
affecting the lifestyle of the people. It has significantly changed the way of global education …
affecting the lifestyle of the people. It has significantly changed the way of global education …
Securemed: A blockchain‐based privacy‐preserving framework for internet of medical things
The Internet of Medical Things (IoMT) connects a huge amount of smart sensors with the
Internet for healthcare service provisioning. IoMT's privacy‐preserving becomes a challenge …
Internet for healthcare service provisioning. IoMT's privacy‐preserving becomes a challenge …
Influencer buddy optimization: Algorithm and its application to electricity load and price forecasting problem
Swarm-based algorithms are widely accepted in different fields of engineering as they have
proven themselves effective in solving real-world optimization problems. According to the …
proven themselves effective in solving real-world optimization problems. According to the …