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A Stochastic Global Identification Framework for Aerospace Vehicles Operating Under Varying Flight States [article]

Fotis Kopsaftopoulos, Raphael Nardari, Yu-Hung Li, Fu-Kuo Chang
2016 arXiv   pre-print
The proposed framework is based on stochastic time-series models for representing the system dynamics and aeroelastic response under multiple flight states, with each state characterized by several variables  ...  vehicles with state awareness capabilities.  ...  One of the main challenges of the current state-of-the-art research is the development of technologies that will lead to autonomous "fly-by-feel" air vehicles inspired by the unprecedented sensing and  ... 
arXiv:1612.04896v1 fatcat:fsiou3yimnf7hcdg72mr6pwmre

A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning

Bo Ma, Weisi Guo, Jie Zhang
2020 IEEE Access  
Context in Cyber-Physical-Social Systems (CPSS) is often challenging to uncover, unfolds over time, and even more difficult to quantify and integrate into decision making.  ...  The second part of the review focuses on exploiting and integrating the demand knowledge for a range of proactive optimisation techniques, including the key aspects of load balancing, mobile edge caching  ...  Another model for modelling anomalous traffic is usually undertaken by regression methods, such as Gaussian Process, neural networks, or NARX model [157] .  ... 
doi:10.1109/access.2020.2975004 fatcat:ccl2trwgkrek5fmkorfwjesq6q

Federated Learning for Internet of Things: A Comprehensive Survey [article]

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2021 arXiv   pre-print
for data sharing.  ...  We then provide an extensive survey of the use of FL in various key IoT applications such as smart healthcare, smart transportation, Unmanned Aerial Vehicles (UAVs), smart cities, and smart industry.  ...  How to perform real-time data processing and protect data privacy for robotic systems is a critical challenge.  ... 
arXiv:2104.07914v1 fatcat:b5wsrfcbynel7jqdxpfw4ftwh4

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence  ...  Under FONDEF project title: "Advanced Data Science Methods for medication error prevention", project CODE: ID20I10001.  ...  Acknowledgments I would like to thank to the Amped Software company for granting educational licenses for Amped FIVE and Amped Authenticate tools.  ... 
doi:10.5281/zenodo.7010718 fatcat:a4gzrvtkybdbpmycqmjkvryco4

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence  ...  Under FONDEF project title: "Advanced Data Science Methods for medication error prevention", project CODE: ID20I10001.  ...  Acknowledgments I would like to thank to the Amped Software company for granting educational licenses for Amped FIVE and Amped Authenticate tools.  ... 
doi:10.5281/zenodo.7039276 fatcat:dyorjakurnaxxgvgoojcbpyd5a

Federated Learning for Internet of Things: A Comprehensive Survey

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2021 IEEE Communications Surveys and Tutorials  
for data sharing.  ...  We then provide an extensive survey of the use of FL in various key IoT applications such as smart healthcare, smart transportation, Unmanned Aerial Vehicles (UAVs), smart cities, and smart industry.  ...  How to perform real-time data processing and protect data privacy for robotic systems is a critical challenge.  ... 
doi:10.1109/comst.2021.3075439 fatcat:ycq2zydqrzhibfqyo4vzloeoqy

Basque Conference on Cyber Physical Systems and Artificial Intelligence [article]

Manuel Graña
2022 Zenodo  
Besides, some video presentations and slides are included with the permission of the authors.  ...  This publication contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence held in San Sebastian, Spain in May 18-19, 2022.  ...  Under FONDEF project title: "Advanced Data Science Methods for medication error prevention", project CODE: ID20I10001.  ... 
doi:10.5281/zenodo.6558965 fatcat:vmrdhbmtwzf6diusv4mqdsgnsa

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence  ...  Under FONDEF project title: "Advanced Data Science Methods for medication error prevention", project CODE: ID20I10001.  ...  Acknowledgements This work was supported by the CybSPEED H2020-MSCA-RISE-2017 grant 777720 and by European Regional Development Fund within the OP "Science and Education for Smart Growth 2014 -2020", Project  ... 
doi:10.5281/zenodo.6568145 fatcat:lbwc7clohbeybmmdjhdlalxziu

Survey of Datafusion Techniques for Laser and Vision Based Sensor Integration for Autonomous Navigation

Prasanna Kolar, Patrick Benavidez, Mo Jamshidi
2020 Sensors  
In order to obtain such accurate data, we need to have optimal technology to read the sensor data, process the data, eliminate or at least reduce the noise and then use the data for the required tasks.  ...  We review various types of sensors, their data, and the need for fusion of the data with each other to output the best data for the task at hand, which in this case is autonomous navigation.  ...  They formulate the missing data values using the relationship between the measured data point values by using a multi-modal technique called Gaussian Process Regression (GPR), developed by Lahat et al  ... 
doi:10.3390/s20082180 pmid:32290582 pmcid:PMC7218742 fatcat:ngfckkvp3fc23o7idvivlhdzbq

Intelligent Edge-Embedded Technologies for Digitising Industry [chapter]

Ovidiu Vermesan, Mario Diaz Nava
2022 Intelligent Edge-Embedded Technologies for Digitising Industry  
The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  The series includes research monographs, edited volumes, handbooks and textbooks, providing professionals, researchers, educators, and advanced students in the field with an invaluable insight into the  ...  Acknowledgements Part of this work was partly funded by the German ministry of education and research (BMBF) under grant 16KIS1180K (FunKI) and 16KIS1012 (IRLG).  ... 
doi:10.13052/rp-9788770226103 fatcat:mgz277pmkbetvbpoaomoktzgzi

Artificial Intellgence – Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021 [article]

Karl-Herbert Schäfer
2021 arXiv   pre-print
Trier, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes \'ecoles' in the fields of engineering, architecture and management  ...  ) and the University of Applied Sciences and Arts Northwestern Switzerland.  ...  Wetzel and T. Iraki for helpful comments and discussion.  ... 
arXiv:2112.05657v1 fatcat:wdjgymicyrfybg5zth2dc2i3ni

Technical Program

2022 2022 IEEE International Conference on Consumer Electronics (ICCE)  
Luminance percentile information based creative intent metadata is used to compensate for imagery degradation caused by ambient light.  ...  Simulation results show that the proposed method can adapt to both ambient light levels and the scene content to keep the creative intent in different ambient conditions.  ...  of the victims themselves and the UAVs (Unmanned Aerial Vehicle) owned by the local government in the disaster area.  ... 
doi:10.1109/icce53296.2022.9730380 fatcat:csqu3xqbczgdhpp3hbmvjpt26a

Basque Conference on Cyber Physical Systems and Artificial Intelligence

Manuel Graña
2022 Zenodo  
This entry contains the proceedings of the Basque Conference on Cyber Physical Systems and Artificial Intelligence  ...  Under FONDEF project title: "Advanced Data Science Methods for medication error prevention", project CODE: ID20I10001.  ...  Acknowledgements This work was supported by the CybSPEED H2020-MSCA-RISE-2017 grant 777720 and by European Regional Development Fund within the OP "Science and Education for Smart Growth 2014 -2020", Project  ... 
doi:10.5281/zenodo.6574965 fatcat:wclgcwfeuvglhnenzq7uvie5by

Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research Challenges [article]

Shen Wang, M.Atif Qureshi, Luis Miralles-Pechuaán, Thien Huynh-The, Thippa Reddy Gadekallu, Madhusanka Liyanage
2021 arXiv   pre-print
The promising explainable AI (XAI) methods can mitigate such risks by enhancing the transparency of the black box AI decision-making process.  ...  However, the risk of losing control over decision-making may increase due to high-speed data-intensive AI decision-making beyond designers and users' comprehension.  ...  In addition to CAVs, the emergence roads, CAVs should understand the current state of nearby of flying platforms such as unmanned aerial vehicles (UAVs), vehicles  ... 
arXiv:2112.04698v1 fatcat:y7ss4opmrjbsbjm3ip2vgkkgky

Stochastic pedestrian models for autonomous vehicles

Michael Hartmann
2022 figshare.com  
This dissertation addresses the modeling of pedestrians in dynamic and urban environments interacting with autonomous vehicles.  ...  There also exists a lack of knowledge by predicting the future movements of pedestri- ans, where one could compute worst-case reachable state-sets.  ...  In [Hartmann and Watzenig, 2019a] the v max , a max , e max (maximal velocity, acceleration and jerk) was predicted by Gaussian Processes for a specific future time horizon.  ... 
doi:10.6084/m9.figshare.21090139.v1 fatcat:5hb6w7ib4jchvjvlxsqfm4bzy4
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