https://wiki.eucloudedgeiot.eu/api.php?action=feedcontributions&feedformat=atom&user=Admin 2026-06-21T12:04:34Z User contributions MediaWiki 1.43.0 https://wiki.eucloudedgeiot.eu/index.php?title=MANOLO&diff=12388 2026-06-18T12:35:53Z

<p>Admin: </p> <hr /> <div>==[[EU Project short name::MANOLO]]==<br /> ===[[EU Project full name::Enabling reliable energy-saving AI systems in cloud-edge computing]]===<br /> '''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/101135782]]<br /> <br /> === '''Project description:''' ===<br /> The EU-funded MANOLO project aims to create a toolset and algorithms that support trustworthy and energy-efficient AI systems, especially within the cloud-edge continuum. It will accelerate research in areas such as model compression, meta-learning and neuromorphic models to develop novel algorithms that train, compress and optimise machine learning models. It will also design dynamic algorithms for energy-efficient and policy-compliant allocation of AI tasks to resources. Other key goals include creating a data management framework to track AI assets such as data and models, as well as a benchmark system to monitor and assess AI algorithms. The resulting toolset will be validated in key industries such as healthcare, manufacturing and telecommunications. <br /> <br /> '''EU Programme:'''<br /> [[Programme::Horizon Europe]]<br /> <br /> [[ItemType::EU Project]]<br /> <br /> '''Project publications:'''<br /> {{#ask:<br /> [[Category:Publications]]<br /> [[EU Project::MANOLO]]<br /> | ?EU Project = EU Project<br /> | ?Has Title#- = Title<br /> | ?Has Category#- = Category<br /> | ?Has Type#- = Type<br /> | ?Has Year#- = Year<br /> | ?Has DOI = DOI<br /> | format=datatables<br /> | limit=1000<br /> | mainlabel=-<br /> | searchable=yes<br /> | column filters=select<br /> | noajax=yes<br /> }}</div>

Admin https://wiki.eucloudedgeiot.eu/index.php?title=MANOLO&diff=12387 2026-06-18T06:51:59Z

<p>Admin: Created page with &quot;==EU Project short name::MANOLO== ===EU Project full name::Enabling reliable energy-saving AI systems in cloud-edge computing=== &#039;&#039;&#039;Full project details (EU Research results portal):&#039;&#039;&#039; CORDIS URL::https://cordis.europa.eu/project/id/101135782 === &#039;&#039;&#039;Project description:&#039;&#039;&#039; === The EU-funded MANOLO project aims to create a toolset and algorithms that support trustworthy and energy-efficient AI systems, especially within the cloud-edge continuum. It will acce...&quot;</p> <hr /> <div>==[[EU Project short name::MANOLO]]==<br /> ===[[EU Project full name::Enabling reliable energy-saving AI systems in cloud-edge computing]]===<br /> '''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/101135782]]<br /> <br /> === '''Project description:''' ===<br /> The EU-funded MANOLO project aims to create a toolset and algorithms that support trustworthy and energy-efficient AI systems, especially within the cloud-edge continuum. It will accelerate research in areas such as model compression, meta-learning and neuromorphic models to develop novel algorithms that train, compress and optimise machine learning models. It will also design dynamic algorithms for energy-efficient and policy-compliant allocation of AI tasks to resources. Other key goals include creating a data management framework to track AI assets such as data and models, as well as a benchmark system to monitor and assess AI algorithms. The resulting toolset will be validated in key industries such as healthcare, manufacturing and telecommunications.<br /> <br /> '''EU Programme:'''<br /> [[Programme::Horizon Europe]]<br /> <br /> [[ItemType::EU Project]]<br /> <br /> '''Project publications:'''<br /> {{#ask:<br /> [[Category:Publications]]<br /> [[EU Project::MANOLO]]<br /> | ?EU Project = EU Project<br /> | ?Has Title#- = Title<br /> | ?Has Category#- = Category<br /> | ?Has Type#- = Type<br /> | ?Has Year#- = Year<br /> | ?Has DOI = DOI<br /> | format=datatables<br /> | limit=1000<br /> | mainlabel=-<br /> | searchable=yes<br /> | column filters=select<br /> | noajax=yes<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.33612/diss.240437107<br /> |affiliation=Astronomy<br /> |affiliation_clean=Astronomy<br /> |title=Hunting Elusive Excess Variance in Big LOFAR Data<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.33612/diss.506782323<br /> |affiliation=Bernoulli Institute<br /> |affiliation_clean=Bernoulli Institute<br /> |title=Explain what you see: argumentation-based learning and robotic vision<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.33612/diss.273310133<br /> |affiliation=Smart Manufacturing Systems<br /> |affiliation_clean=Smart Manufacturing Systems<br /> |title=Data-driven stabilization and safe control of nonlinear systems<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.33612/diss.250010290<br /> |affiliation=Astronomy<br /> |affiliation_clean=Astronomy<br /> |title=Multi-scale Connectivity and Hierarchical Topology of the Cosmic Web<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.33612/diss.215199709<br /> |affiliation=Discrete Technologie en Productie Automatisering<br /> |affiliation_clean=Discrete Technologie en Productie Automatisering<br /> |title=Multi-loop Hysteresis and Recursive Remnant Control<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.33612/diss.222496441<br /> |affiliation=Astronomy<br /> |affiliation_clean=Astronomy<br /> |title=Deep learning in high angular-resolution radio interferometry<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.33612/diss.232286598<br /> |affiliation=Smart Manufacturing Systems<br /> |affiliation_clean=Smart Manufacturing Systems<br /> |title=Results on data-driven controllers for unknown nonlinear systems<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10766-022-00734-5<br /> |affiliation=Electrical &amp; Computer Engineering Department, University of Peloponnese, Patras, Greece<br /> |affiliation_clean=Electrical &amp; Computer Engineering Department, University of Peloponnese, Patras, Greece<br /> |title=A Methodology for Efficient Tile Size Selection for Affine Loop Kernels<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10766-022-00734-5<br /> |affiliation=School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece<br /> |affiliation_clean=School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece<br /> |title=A Methodology for Efficient Tile Size Selection for Affine Loop Kernels<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10766-022-00734-5<br /> |affiliation=School of Computing, University of Leeds, Leeds, UK<br /> |affiliation_clean=School of Computing, University of Leeds, Leeds, UK<br /> |title=A Methodology for Efficient Tile Size Selection for Affine Loop Kernels<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10766-022-00734-5<br /> |affiliation=University Plymouth, Plymouth, UK<br /> |affiliation_clean=University Plymouth, Plymouth, UK<br /> |title=A Methodology for Efficient Tile Size Selection for Affine Loop Kernels<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s22062126<br /> |affiliation=Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), 20500 Arrasate, Spain<br /> |affiliation_clean=Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), 20500 Arrasate, Spain<br /> |title=A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s22062126<br /> |affiliation=Department of Electronics and Computing, Mondragon Unibertsitatea, 20500 Mondragón, Spain<br /> |affiliation_clean=Department of Electronics and Computing, Mondragon Unibertsitatea, 20500 Mondragón, Spain<br /> |title=A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10489-022-03350-5<br /> |affiliation=Institute of Geology, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan<br /> |affiliation_clean=Institute of Geology, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan<br /> |title=Machine Learning Techniques for Software Vulnerability Prediction: A comparative study<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10489-022-03350-5<br /> |affiliation=Department of Information Technology, The University of Haripur, Haripur, Pakistan<br /> |affiliation_clean=Department of Information Technology, The University of Haripur, Haripur, Pakistan<br /> |title=Machine Learning Techniques for Software Vulnerability Prediction: A comparative study<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10489-022-03350-5<br /> |affiliation=Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China<br /> |affiliation_clean=Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China<br /> |title=Machine Learning Techniques for Software Vulnerability Prediction: A comparative study<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10489-022-03350-5<br /> |affiliation=Mälardalen University, Västerås, Sweden<br /> |affiliation_clean=Mälardalen University, Västerås, Sweden<br /> |title=Machine Learning Techniques for Software Vulnerability Prediction: A comparative study<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10489-022-03350-5<br /> |affiliation=Department of Computer Science, Karakoram International University, Gilgit, Pakistan<br /> |affiliation_clean=Department of Computer Science, Karakoram International University, Gilgit, Pakistan<br /> |title=Machine Learning Techniques for Software Vulnerability Prediction: A comparative study<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1007/s10489-022-03350-5<br /> |affiliation=Tsinghua University, Beijing, China<br /> |affiliation_clean=Tsinghua University, Beijing, China<br /> |title=Machine Learning Techniques for Software Vulnerability Prediction: A comparative study<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1016/j.scico.2023.103047<br /> |affiliation=LS2N - équipe NaoMod - NaoMod - Nantes Software Modeling Group (France)<br /> |affiliation_clean=LS2N - équipe NaoMod - NaoMod - Nantes Software Modeling Group (France)<br /> |title=An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1016/j.scico.2023.103047<br /> |affiliation=IMT Atlantique - DAPI - Département Automatique, Productique et Informatique (IMT Atlantique - Campus de Nantes - La Chantrerie - 4, rue Alfred Kastler - CS 20722 - 44307 NANTES Cedex 3 - France)<br /> |affiliation_clean=IMT Atlantique - DAPI - Département Automatique, Productique et Informatique (IMT Atlantique - Campus de Nantes - La Chantrerie - 4, rue Alfred Kastler - CS 20722 - 44307 NANTES Cedex 3 - France)<br /> |title=An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1016/j.scico.2023.103047<br /> |affiliation=IMT Atlantique, LS2N (UMR CNRS 6004) - Nantes, France<br /> |affiliation_clean=IMT Atlantique, LS2N (UMR CNRS 6004) - Nantes, France<br /> |title=An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1016/j.scico.2023.103047<br /> |affiliation=Åbo Academy University (Finland)<br /> |affiliation_clean=Åbo Academy University (Finland)<br /> |title=An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1016/j.scico.2023.103047<br /> |affiliation=Abo Akademi University - Turku, Finland<br /> |affiliation_clean=Abo Akademi University - Turku, Finland<br /> |title=An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1016/j.scico.2023.103047<br /> |affiliation=SOFTEAM (France)<br /> |affiliation_clean=SOFTEAM (France)<br /> |title=An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1016/j.scico.2023.103047<br /> |affiliation=SOFTEAM, Docaposte - Paris &amp; Nantes, France<br /> |affiliation_clean=SOFTEAM, Docaposte - Paris &amp; Nantes, France<br /> |title=An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s23031695<br /> |affiliation=School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece<br /> |affiliation_clean=School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece<br /> |title=LoRa-Based IoT Network Assessment in Rural and Urban Scenarios<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s23031695<br /> |affiliation=Department of Applied Informatics, School of Information Sciences, University of Macedonia, 54636 Thessaloniki, Greece<br /> |affiliation_clean=Department of Applied Informatics, School of Information Sciences, University of Macedonia, 54636 Thessaloniki, Greece<br /> |title=LoRa-Based IoT Network Assessment in Rural and Urban Scenarios<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s23031695<br /> |affiliation=Department of Electrical and Computer Engineering, University of Western Macedonia, 50131 Kozani, Greece<br /> |affiliation_clean=Department of Electrical and Computer Engineering, University of Western Macedonia, 50131 Kozani, Greece<br /> |title=LoRa-Based IoT Network Assessment in Rural and Urban Scenarios<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s23031695<br /> |affiliation=Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China<br /> |affiliation_clean=Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China<br /> |title=LoRa-Based IoT Network Assessment in Rural and Urban Scenarios<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s23031695<br /> |affiliation=ELEDIA@AUTH, School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece<br /> |affiliation_clean=ELEDIA@AUTH, School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece<br /> |title=LoRa-Based IoT Network Assessment in Rural and Urban Scenarios<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1109/access.2021.3105946<br /> |affiliation=WCL, Department of Electrical &amp; Computer Engineering, University of Patras, 265 04 Patras, Greece<br /> |affiliation_clean=WCL, Department of Electrical &amp; Computer Engineering, University of Patras, 265 04 Patras, Greece<br /> |title=Multiservice Loss Models for Cloud Radio Access Networks<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1109/access.2021.3105946<br /> |affiliation=Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece<br /> |affiliation_clean=Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece<br /> |title=Multiservice Loss Models for Cloud Radio Access Networks<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1109/access.2021.3105946<br /> |affiliation=Department of Informatics &amp; Telecommunications, University of Peloponnese, Tripoli, Greece<br /> |affiliation_clean=Department of Informatics &amp; Telecommunications, University of Peloponnese, Tripoli, Greece<br /> |title=Multiservice Loss Models for Cloud Radio Access Networks<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1109/tcomm.2022.3229672<br /> |affiliation=Computer Science Engineering Department, University of Ioannina, Ioannina, Greece<br /> |affiliation_clean=Computer Science Engineering Department, University of Ioannina, Ioannina, Greece<br /> |title=Energy-Aware Design of UAV-Mounted RIS Networks for IoT Data Collection<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.1109/tcomm.2022.3229672<br /> |affiliation=Electrical and Computer Engineering Department, Wireless Communications and Information Processing (WCIP) Group, Aristotle University of Thessaloniki, Thessaloniki, Greece<br /> |affiliation_clean=Electrical and Computer Engineering Department, Wireless Communications and Information Processing (WCIP) Group, Aristotle University of Thessaloniki, Thessaloniki, Greece<br /> |title=Energy-Aware Design of UAV-Mounted RIS Networks for IoT Data Collection<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.36227/techrxiv.22718374<br /> |affiliation=Lebanese American University (AUL), Lebanon<br /> |affiliation_clean=Lebanese American University (AUL), Lebanon<br /> |title=Enabling Wireless-powered IoT through Incentive-based UAV Swarm Orchestration<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.36227/techrxiv.22718374<br /> |affiliation=WCIP) Group, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki (AUTH), 54636, Thessa-loniki, Greece<br /> |affiliation_clean=WCIP) Group, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki (AUTH), 54636, Thessa-loniki, Greece<br /> |title=Enabling Wireless-powered IoT through Incentive-based UAV Swarm Orchestration<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.36227/techrxiv.22718374<br /> |affiliation=WCIP Group, Aristotle University of Thes-saloniki (AUTH), Greece and with Cyber Security Systems and Applied AI Research Center,<br /> |affiliation_clean=WCIP Group, Aristotle University of Thes-saloniki (AUTH), Greece and with Cyber Security Systems and Applied AI Research Center,<br /> |title=Enabling Wireless-powered IoT through Incentive-based UAV Swarm Orchestration<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3389/frcmn.2022.827105<br /> |affiliation=Department of Electrical and Computing Engineering, Wireless Communication and Information Processing Group (WCIP), Aristotle University of Thessaloniki, Thessaloniki, Greece<br /> |affiliation_clean=Department of Electrical and Computing Engineering, Wireless Communication and Information Processing Group (WCIP), Aristotle University of Thessaloniki, Thessaloniki, Greece<br /> |title=Incentive-Based Delay Minimization for 6G-Enabled Wireless Federated Learning<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s21113936<br /> |affiliation=Computer Science Department, CITY College, University of York Europe Campus, 546 26 Thessaloniki, Greece<br /> |affiliation_clean=Computer Science Department, CITY College, University of York Europe Campus, 546 26 Thessaloniki, Greece<br /> |title=Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s21113936<br /> |affiliation=Department of Networks and Digital Media, Kingston University, London KT1 1LQ, UK<br /> |affiliation_clean=Department of Networks and Digital Media, Kingston University, London KT1 1LQ, UK<br /> |title=Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks<br /> }}</div>

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<p>Admin: 1 revision imported</p> <hr /> <div>{{InstitutionsDoi<br /> |doi=https://doi.org/10.3390/s21113936<br /> |affiliation=Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S1 3JD, UK<br /> |affiliation_clean=Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield S1 3JD, UK<br /> |title=Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks<br /> }}</div>

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