Machine learning/artificial intelligence for sensor data fusion–opportunities and challenges

E Blasch, T Pham, CY Chong, W Koch… - IEEE aerospace and …, 2021 - ieeexplore.ieee.org
During Fusion 2019 Conference (https://www. fusion2019. org/program. html), leading
experts presented ideas on the historical, contemporary, and future coordination of artificial …

Quality of information in mobile crowdsensing: Survey and research challenges

F Restuccia, N Ghosh, S Bhattacharjee… - ACM Transactions on …, 2017 - dl.acm.org
Smartphones have become the most pervasive devices in people's lives and are clearly
transforming the way we live and perceive technology. Today's smartphones benefit from …

Fairfl: A fair federated learning approach to reducing demographic bias in privacy-sensitive classification models

DY Zhang, Z Kou, D Wang - … Conference on Big Data (Big Data …, 2020 - ieeexplore.ieee.org
The recent advance of the federated learning (FL) has brought new opportunities for privacy-
aware distributed machine learning (ML) applications to train a powerful ML model without …

A multimodal misinformation detector for covid-19 short videos on tiktok

L Shang, Z Kou, Y Zhang… - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
This paper studies an emerging and important problem of identifying misleading COVID-19
short videos where the misleading content is jointly expressed in the visual, audio, and …

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

K Datta, M Murphy, V Volkov, S Williams… - SC'08: Proceedings …, 2008 - ieeexplore.ieee.org
Understanding the most efficient design and utilization of emerging multicore systems is one
of the most challenging questions faced by the mainstream and scientific computing …

The age of social sensing

D Wang, BK Szymanski, T Abdelzaher, H Ji… - Computer, 2019 - ieeexplore.ieee.org
Online social media have democratized the broadcasting of information, encouraging users
to view the world through the lens of social networks. The exploitation of this lens, termed …

Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data

Y Zhang, Z Chen, X Zheng, N Chen, Y Wang - Journal of Hydrology, 2021 - Elsevier
The aggregation of the same type of socio-economic activities in urban space generates
urban functional zones, each of which has one function as the main (eg, residential …

Sensing within smart buildings: A survey

W Alsafery, O Rana, C Perera - ACM Computing Surveys, 2023 - dl.acm.org
Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …

Hc-covid: A hierarchical crowdsource knowledge graph approach to explainable covid-19 misinformation detection

Z Kou, L Shang, Y Zhang, D Wang - Proceedings of the ACM on Human …, 2022 - dl.acm.org
The proliferation of social media has promoted the spread of misinformation that raises
many concerns in our society. This paper focuses on a critical problem of explainable …

CovidSens: a vision on reliable social sensing for COVID-19

MT Rashid, D Wang - Artificial intelligence review, 2021 - Springer
With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming
inherently important to disseminate accurate and timely information about the disease. Due …