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Machine learning/artificial intelligence for sensor data fusion–opportunities and challenges
During Fusion 2019 Conference (https://www. fusion2019. org/program. html), leading
experts presented ideas on the historical, contemporary, and future coordination of artificial …
experts presented ideas on the historical, contemporary, and future coordination of artificial …
Quality of information in mobile crowdsensing: Survey and research challenges
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 …
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
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 …
aware distributed machine learning (ML) applications to train a powerful ML model without …
A multimodal misinformation detector for covid-19 short videos on tiktok
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 …
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
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 …
of the most challenging questions faced by the mainstream and scientific computing …
The age of social sensing
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 …
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
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 …
urban functional zones, each of which has one function as the main (eg, residential …
Sensing within smart buildings: A survey
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 …
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
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 …
many concerns in our society. This paper focuses on a critical problem of explainable …
CovidSens: a vision on reliable social sensing for COVID-19
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 …
inherently important to disseminate accurate and timely information about the disease. Due …