Results 61 to 70 of about 5,841 (261)

Trust-3DM: Trustworthiness-Based Data-Driven Decision-Making Framework Using Smart Edge Computing for Continuous Sensing

IEEE Access, 2022
Mobile Edge Computing (MEC) has been proposed as an efficient solution for Mobile crowdsensing (MCS). It allows the parallel collection and processing of data in real time in response to a requested task.
Hanane Lamaazi, Rabeb Mizouni, Hadi Otrok, Shakti Singh, Ernesto Damiani   +4 more
doaj   +1 more source

Underwater Instant Adhesive Hydrogel Interfaces for Robust Biosensing on Diverse Species

Advanced 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, Xin Ming, Jianxiang Wang, Zenghao Xia, Xi Zhu, Lei He, Xiangyang Feng, Wenzhang Fang, Liang Huang, Zhen Xu, Yuxin Peng   +10 more
wiley   +1 more source

Indoor Localization Based on IoT Crowdsensing Task Allocation

Journal of Sensor and Actuator Networks
Crowdsensing has been recently investigated as an incorporation of Human-Machine intelligence in which contribution of users is crucial. Indoor localization is one of the significant applications among divers applications that have been introduced in ...
Bahareh Lashkari, Javad Rezazadeh, Reza Farahbakhsh   +2 more
doaj   +1 more source

Fairness in Federated Learning: Trends, Challenges, and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 6, June 2025.
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng   +2 more
wiley   +1 more source

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

Software: 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, Antonella Longo, Marco Zappatore, Beniamino Di Martino, Antonio Esposito   +4 more
wiley   +1 more source

A3Droid: A framework for developing distributed crowdsensing

, 2016
The amount and diversity of sensors on modern mobile devices, together with the computing performance that these devices can guarantee, make crowdsensing an important alternative to traditional sensor networks.
Mendonça, D. F., BARESI, LUCIANO, GUINEA MONTALVO, SAM JESUS, FILGUEIRA MENDONÇA, DANILO   +3 more
core   +1 more source

Bridge monitoring using mobile sensing data with traditional system identification techniques

Computer-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, Debarshi Sen, Giulia Marasco, Thomas Matarazzo, Shamim Pakzad   +4 more
wiley   +1 more source

Scalable Stream Processing with Quality of Service for Smart City Crowdsensing Applications

EAI Endorsed Transactions on Mobile Communications and Applications, 2013
Crowdsensing is emerging as a powerful paradigm capable of leveraging the collective, though imprecise, monitoring capabilities of common people carrying smartphones or other personal devices, which can effectively become real-time mobile sensors ...
Paolo Bellavista, Antonio Corradi, Andrea Reale   +2 more
doaj   +1 more source

A Mobile Edge-Based CrowdSensing Framework for Heterogeneous IoT

IEEE Access, 2020
In this article, we consider the problem of distributed offloading in mobile crowdsensing (MCS) by the means of mobile edge computing(MEC). Deploying MEC in MCS can help address many challenges the centralized MCS solutions are facing such as delays in ...
Hanane Lamaazi, Rabeb Mizouni, Shakti Singh, Hadi Otrok   +3 more
doaj   +1 more source

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

IET 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