Results 61 to 70 of about 1,414,604 (271)
Underwater Instant Adhesive Hydrogel Interfaces for Robust Biosensing on Diverse Species
An instant underwater adhesion hydrogel interface is constructed via a universal and facile molecular entanglement engineering through a roll‐to‐roll scalable manufacturing protocol, achieving rapid and strong interfacial toughness over 230 J•m−2 within 10 s.
Xueyin Chen +10 more
wiley +1 more source
Mobile CrowdSensing (MCS) has emerged as a valuable framework for large scale mapping of phenomena of interest, thanks to the ever-growing advances and pervasiveness of sensor-rich mobile devices.
Maggie Ezzat Gaber Gendy +2 more
doaj +1 more source
Abstract The progress made in the field of medicine and the consequent increase in the prospect of life have contributed to rise people's interest towards a healthier lifestyle. Fitness activity is becoming a must for those who aspire to live more and better.
Angelo Martella +4 more
wiley +1 more source
When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System
Mobile crowdsensing (MCS) is an emerging sensing data collection pattern with scalability, low deployment cost, and distributed characteristics. Traditional MCS systems suffer from privacy concerns and fair reward distribution. Moreover, existing privacy-preserving MCS solutions usually focus on the privacy protection of data collection rather than ...
Zhao, Bowen, Liu, Ximeng, Chen, Wei-neng
openaire +2 more sources
Bridge monitoring using mobile sensing data with traditional system identification techniques
Abstract Mobile sensing has emerged as an economically viable alternative to spatially dense stationary sensor networks, leveraging crowdsourced data from today's widespread population of smartphones. Recently, field experiments have demonstrated that using asynchronous crowdsourced mobile sensing data, bridge modal frequencies, and absolute mode ...
Liam Cronin +4 more
wiley +1 more source
Anchor-Assisted and Vote-Based Trustworthiness Assurance in Smart City Crowdsensing
Smart city sensing calls for crowdsensing via mobile devices that are equipped with various built-in sensors. As incentivizing users to participate in distributed sensing is still an open research issue, the trustworthiness of crowdsensed data is ...
Maryam Pouryazdan +3 more
doaj +1 more source
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing
Sparse Mobile CrowdSensing (MCS) is a novel MCS paradigm where data inference is incorporated into the MCS process for reducing sensing costs while its quality is guaranteed.
Liu, Wenbin +5 more
core +1 more source
The increasing adoption of artificial intelligence (AI)‐driven unmanned aerial vehicles (UAVs) in military, commercial, and surveillance operations has introduced significant security challenges, including cyber threats, adversarial AI attacks, and communication vulnerabilities. This paper presents a comprehensive review of the key security threats and
Deafallah Alsadie, Jiwei Tian
wiley +1 more source
A privacy-preserving collaborative reputation system for mobile crowdsensing
Mobile crowdsensing is an emerging technology in which participants contribute sensor readings for different sensing applications. This technology enables a broad range of sensing applications by utilizing smartphones and tablets worldwide to improve ...
Bayan Hashr Alamri +2 more
doaj +1 more source
Efficient Processing of Geospatial mHealth Data Using a Scalable Crowdsensing Platform
Smart sensors and smartphones are becoming increasingly prevalent. Both can be used to gather environmental data (e.g., noise). Importantly, these devices can be connected to each other as well as to the Internet to collect large amounts of sensor data ...
Robin Kraft +9 more
doaj +1 more source

