Results 61 to 70 of about 1,414,604 (271)

Underwater Instant Adhesive Hydrogel Interfaces for Robust Biosensing on Diverse Species

open access: yesAdvanced Science, Volume 12, Issue 43, November 20, 2025.
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

Green CrowdSensing With Comprehensive Reputation Awareness and Predictive Device-Application Matching Using a New Real-Life Dataset

open access: yesIEEE Access, 2020
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

A semantically enabled architecture for interoperable edge‐cloud continuum applied to the e‐health scenario

open access: yesSoftware: Practice and Experience, Volume 55, Issue 3, Page 409-447, March 2025.
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

open access: yes, 2021
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

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 5, Page 579-593, 17 February 2025.
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

open access: yesIEEE Access, 2016
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

open access: yes, 2018
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

Cybersecurity and Artificial Intelligence in Unmanned Aerial Vehicles: Emerging Challenges and Advanced Countermeasures

open access: yesIET Information Security, Volume 2025, Issue 1, 2025.
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

open access: yesInternational Journal of Distributed Sensor Networks, 2018
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

open access: yesSensors, 2020
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

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