Results 41 to 50 of about 4,878 (281)
On the Fine-Grained Crowd Analysis via Passive WiFi Sensing [PDF]
, 2023 Regarding the passive WiFi sensing based crowd analysis, this paper first theoretically investigates its limitations, and then proposes a deep learning based scheme targeted for returning fine-grained crowd states in large surveillance areas. To this end,
Bing Jia (16712029) +3 more
core +1 more source
Macromolecular crowding: Sensing without a sensor
Current Opinion in Cell Biology, 2023 All living cells are crowded with macromolecules. Crowding can directly modulate biochemical reactions to various degrees depending on the sizes, shapes, and binding affinities of the reactants. Here, we explore the possibility that cells can sense and adapt to changes in crowding through the widespread modulation of biochemical reactions without the ...
Holt, Liam, Delarue, Morgan
openaire +4 more sources
IEEE Access, 2017 In mobile crowd-sensing systems, the value of crowd-sensed big data can be increased by incentivizing the users appropriately. Since data acquisition is participatory, crowd-sensing systems face the challenge of data trustworthiness and truthfulness ...
Maryam Pouryazdan +5 more
doaj +1 more source
Advanced Pedestrian State Sensing Method for Automated Patrol Vehicle Based on Multi-Sensor Fusion
Sensors, 2022 At present, the COVID-19 pandemic still presents with outbreaks occasionally, and pedestrians in public areas are at risk of being infected by the viruses.
Pangwei Wang +3 more
doaj +1 more source
MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion.
M. A. A. Ghaffar +3 more
doaj +1 more source
Information, 2020 Mobile crowd sensing is an innovative and promising paradigm in the construction and perception of smart cities. However, multi-task allocation in real-world scenarios is a huge challenge.
Junying Han, Zhenyu Zhang, Xiaohong Wu
doaj +1 more source
Egyptian Informatics Journal, 2022 Mobile Crowd sensing model is an emerging paradigm that requires mobile device users to perform tasks such as data aggregation and cloud computing operations and also provides significant role in several data-driven applications.
M. Arulprakash, R. Jebakumar
doaj +1 more source
Participants Ranking Algorithm for Crowdsensing in Mobile Communication
EAI Endorsed Transactions on Scalable Information Systems, 2018 As mobile technology is becoming more advance, the uses of this technology is increasing day by day. The mobile phone is used by everyone and it became the necessity of life. Today, smart devices are flooding the internet with data that are everywhere and
Tariq Ali +5 more
doaj +1 more source
QUOIN: Incentive Mechanisms for Crowd Sensing Networks [PDF]
, 2018 application/pdfCrowd sensing networks play a critical role in big data generation where a large number of mobile devices collect various kinds of data with large-volume features. Although which information should be collected is essential for the success
LIU, Anfeng +7 more
core +2 more sources
Large-Scale Dataset for Radio Frequency-Based Device-Free Crowd Estimation
Data, 2020 Organisers of events attracting many people have the important task to ensure the safety of the crowd on their venue premises. Measuring the size of the crowd is a critical first step, but often challenging because of occlusions, noise and the dynamics ...
Abdil Kaya +4 more
doaj +1 more source