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 …

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 …

Bidirectional GRU networks‐based next POI category prediction for healthcare

Y Liu, Z Song, X Xu, W Rafique, X Zhang… - … Journal of Intelligent …, 2022 - Wiley Online Library
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 …

[Retracted] Gauging the Impact of Artificial Intelligence and Mathematical Modeling in Response to the COVID‐19 Pandemic: A Systematic Review

A Hassan, D Prasad, S Rani… - BioMed Research …, 2022 - Wiley Online Library
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 …

A weighted patient network-based framework for predicting chronic diseases using graph neural networks

H Lu, S Uddin - Scientific reports, 2021 - nature.com
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 …

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 …

Objective evaluation of deep uncertainty predictions for covid-19 detection

H Asgharnezhad, A Shamsi, R Alizadehsani… - Scientific Reports, 2022 - nature.com
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 …

A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19

P Harjule, A Rahman, B Agarwal - Journal of Interdisciplinary …, 2021 - Taylor & Francis
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 …

Securemed: A blockchain‐based privacy‐preserving framework for internet of medical things

W Rafique, M Khan, S Khan… - … and Mobile Computing, 2023 - Wiley Online Library
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 …

Influencer buddy optimization: Algorithm and its application to electricity load and price forecasting problem

R Kottath, P Singh - Energy, 2023 - Elsevier
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 …