Results 31 to 40 of about 3,090 (173)
Sensors, 2019 Mobile crowdsensing is a powerful paradigm that exploits the advanced sensing capabilities and ubiquity of smartphones in order to collect and analyze data on a scale that is impossible with fixed sensor networks.
Eva Zupančič, Borut Žalik
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Energy-Efficient Crowdsensing of Human Mobility and Signal Levels in Cellular Networks
Sensors, 2015 The paper presents a practical application of the crowdsensing idea to measure human mobility and signal coverage in cellular networks. Currently, virtually everyone is carrying a mobile phone, which may be used as a sensor to gather research data by ...
Paweł Foremski +3 more
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Frontiers in Built Environment, 2021 The cost of dedicated sensors has hampered the collection of the high-quality seismic response data required for real-time health monitoring and damage assessment.
Wenjie Liao +4 more
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AI &Innovation, Volume 1, Issue 2, September 2026.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Transactions in GIS, Volume 30, Issue 5, August 2026.ABSTRACT The research work addresses the need to preserve the user's privacy in urban contexts without relying on pure contemporary approaches—like k‐anonymity or stochastic noise. We present a privacy preserving methodology that adapts to varying spatial contexts of users.
Omid Reza Abbasi +2 more
wiley +1 more source
Sensors, 2017 Monitoring the status of urban environments, which provides fundamental information for a city, yields crucial insights into various fields of urban research.
Xu Kang, Liang Liu, Huadong Ma
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IET Blockchain, Volume 6, Issue 1, January/December 2026.The study presents C3Crowd$C^3Crowd$, a blockchain‐based framework designed to enhance security in crowd management through decentralization, cryptography and smart contracts. It uses reputation management and a credit‐based incentive model to encourage user participation while safeguarding sensitive crowd data.
Sukanta Chakraborty, Abhishek Majumder
wiley +1 more source
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
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Development of a crowdsensing IoT system for tracking air quality [PDF]
, 2021 The main aim of this paper is the development of a crowdsensing Internet of things (IoT) system for tracking air quality. The introductory part of the paper will describe the concepts of the Internet of things, m-health, smart healthcare and crowdsensing.
Stefanović, Srđan +5 more
core
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