Results 51 to 60 of about 5,841 (261)
Crowdsensing system for smart cities
, 2021 This paper investigates the opportunities that crowdsensing, Internet of things and mobile technologies and services bring to improving life quality and healthcare ecosystem in smart cities.
Barać, Dušan +4 more
core
Data Privacy and Cybersecurity in Mobile Crowdsensing
Mobile crowdsensing (MCS) has emerged as a pivotal element in contemporary communication technology, witnessing substantial growth recently. The advent of 5G, the Internet of Things (IoT), and edge computing has propelled MCS researchers to achieve ...
Weiting Zhang, Tong Wu, Chuan Zhang
core +2 more sources
IET Wireless Sensor Systems, Volume 16, Issue 1, January/December 2026.This article surveys the integration of the Internet of things (IoT) and machine learning (ML) in agricultural monitoring, highlighting their role in data collection, analysis and decision‐making for smart farming. It reviews application domains, data collection strategies, network architectures and learning methods whilst identifying key challenges ...
Ado Adamou Abba Ari +5 more
wiley +1 more source
Sparse Mobile Crowdsensing: Challenges and Opportunities
, 2016 Sensing cost and data quality are two primary concerns in mobile crowdsensing. In this article, we propose a new crowdsensing paradigm, sparse mobile crowdsensing, which leverages the spatial and temporal correlation among the data sensed in different ...
M'Hamed, Abdallah +6 more
core +1 more source
AI‐Powered Defense: Leveraging Deep Learning for Effective Malware Detection
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Traditional malware detection techniques frequently fail to detect and stop malicious activity in an era where cyber threats are becoming more complex. Any software that enters a computer system without the administrator’s consent is considered malicious software.
Nancy Awadallah Awad +1 more
wiley +1 more source
Complexity, Volume 2026, Issue 1, 2026.This paper investigates the consensus problem in leader–follower connected vehicle systems (CVSs) under deception attacks—including coordinated position, velocity, and acceleration attacks as well as delays and disturbances. Centralized and decentralized event‐triggered control strategies are proposed, allowing follower actuators to update at ...
Azmat Ullah Khan Niazi +5 more
wiley +1 more source
Improving Both Quantity and Quality: Incentive Mechanism for Social Mobile Crowdsensing Architecture
IEEE Access, 2018 Mobile crowdsensing has emerged as an efficient paradigm for performing large-scale sensing tasks. Improving both the quantity and quality of users is still the pivotal problem for mobile crowdsensing system.
Jia Xu +4 more
doaj +1 more source
IEEE Access, 2021 Emerging vertical applications enabled by connected devices and smart infrastructures have created an ever-increasing demand for high data rates over 5th-Generation (5G) and beyond wireless networks.
M. G. S. Sriyananda +2 more
doaj +1 more source
International Journal of Mathematics and Mathematical Sciences, Volume 2026, Issue 1, 2026.A linear Diophantine Z‐number Aczel–Alsina t‐norm operator is implemented for solving a linear Diophantine Z‐number problem, along with explaining its reliability, along with the solution derived. Some basic mathematical characteristics of the introduced operator, such as monotonicity, boundedness, and homogeneity, are rigorously deduced mathematically
Muhammad Umar Mirza +4 more
wiley +1 more source
Crowdsensing Application on Coalition Game Using GPS and IoT Parking in Smart Cities
, 2022 This paper provides an overview of crowdsensing and some of its applications. Crowdsensing is a part of the collecting data situations also; it’s built on a data system on multiple customer interactions.
Abu Hilal, Tariq +7 more
core +1 more source