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Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives

Alessio Fascista
2022 Sensors  
By outlining the available solutions and current limitations, we identify in the cooperation among terrestrial (WSN/crowdsensing) and aerial (UAVs) sensing, coupled with the adoption of advanced signal  ...  sensor networks (WSNs), unmanned aerial vehicles (UAVs), and crowdsensing monitoring technologies.  ...  Acknowledgments: The author would like to thank Angelo Coluccia for the insightful discussions on the topic and the extensive review of the paper.  ... 
doi:10.3390/s22051824 pmid:35270970 pmcid:PMC8914857 fatcat:xqcgx676mbckfpc2a6rurbfooq

2021 Index IEEE Transactions on Services Computing Vol. 14

2022 IEEE Transactions on Services Computing  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  -Dec. 2021 1739-1750 Crowdsensing MP-Coopetition: Competitive and Cooperative Mechanism for Multiple Platforms in Mobile Crowd Sensing. Li, Y., +, TSC Nov.  ... 
doi:10.1109/tsc.2021.3135765 fatcat:cvny2iyuazb5tncphn74iq2o4e

Applications of Artificial Intelligence in Battling Against Covid-19: A Literature Review

Mohammad-H. Tayarani-N.
2020 Chaos, Solitons & Fractals  
We also tried to conclude the paper with ideas on how the problems can be tackled in a better way and provide some suggestions for future works.  ...  Here, we perform an overview on the applications of AI in a variety of fields including diagnosis of the disease via different types of tests and symptoms, monitoring patients, identifying severity of  ...  The method learns from a single large-scale spatio-temporal graph, where the nodes represent the region-level human mobility, spatial edges represent the human mobility based inter region connectivity  ... 
doi:10.1016/j.chaos.2020.110338 pmid:33041533 pmcid:PMC7532790 fatcat:gl3i37hag5gflajsa7fh6khvva

Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges [article]

Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, Khalil Khan, Junaid Qadir, Ala Al-Fuqaha
2021 arXiv   pre-print
In this paper, we analyze and explore key challenges including security, robustness, interpretability, and ethical (data and algorithmic) challenges to a successful deployment of AI in human-centric applications  ...  In the light of these observations, addressing the philosophical and ethical questions involved in ensuring the security, safety, and interpretability of such AI algorithms that will form the technological  ...  In [165] , an explainable deep learning-based recommendation framework, leveraging the advantages of deep learning and existing explainability methods, has been proposed.  ... 
arXiv:2012.09110v4 fatcat:yxh5tvpehbgldcblweoovbvdsq

Data Analytics-backed Vehicular Crowd-sensing for GPS-less Tracking in Public Transportation [article]

Cem Kaptan, University, My, University, My
2018
Emulating non-dedicated sensors in a simulation environment enables us to perform large-scale crowd-sensing tasks.  ...  With that motivation in mind, the contributions of this thesis are three-fold: \textit{(i)} Sensor emulation, \textit{(ii)} Crowd-sensing based GPS-less tracking, and \textit{(iii)} Reliable data acquisition  ...  In [89] , authors propose a mobile payment protocol which considers limited connectivity for VANET applications.  ... 
doi:10.20381/ruor-22219 fatcat:ty2qcvktqvcidjzy625jnz7oda

Dagstuhl Reports, Volume 3, Issue 09, September 2013, Complete Issue [article]

2014
In this presentation we discussed our work on distributed matching with preferences for dynamic overlays with guarantees, as well as scheduling for demand-response problems in buldings and neighbourhoods  ...  Our initial suggests how we might use these to explore the landscape of systems and algorithms that might be possible in the future.  ...  Another dimension is the location or context of the task, the crowdsourcing platform and the performers. The context where the task is executed may be important, e.g. for crowdsensing.  ... 
doi:10.4230/dagrep.3.9 fatcat:oilweqoffjbx7bjnxvg6vorrzu

Market engineering [article]

(:Unkn) Unknown, Technische Universität Berlin, Henner Gimpel, Jan Krämer, Dirk Neumann, Jella Pfeiffer, Stefan Seifert, Timm Teubner, Daniel J. Veit, Anke Weidlich
2022
Both markets and the flow of information should not arbitrarily emerge and develop based on individual, profit-driven actors.  ...  Thus, designing, monitoring, and regulating markets is an essential task of today's society. This task does not only derive from a purely economic point of view.  ...  Acknowledgments The authors gratefully acknowledge the financial support of the Kopernikus project SynErgie by the Federal Ministry of Education and Research (BMBF) and the project supervision by the project  ... 
doi:10.14279/depositonce-14970 fatcat:z4rgi7krlvfkxjyqwjoy3jvzha

Augmenting the Knowledge Pyramid with Unconventional Data and Advanced Analytics

Matteo Francia
2021
As to unconventional data, we focus on mobility data and on the privacy issues related to them by providing (de-)anonymization models.  ...  In this context, volume, variety, and data availability have opened for challenges in augmenting the knowledge pyramid.  ...  ., describe, assess, and explain) to perform analytic tasks mixing formal queries, data mining, and machine learning tasks.  ... 
doi:10.48676/unibo/amsdottorato/9753 fatcat:i52np6sqvjh7nfdyy77ytyqvzm