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 Periodic Reporting for period 2 - DRAGON (The RapiD and SecuRe AI enhAnced DiaGnosis, Precision Medicine and Patient EmpOwerment Centered Decision Support System for Coronavirus PaNdemics) Result description The DRAGON project aims to use artificial intelligence (AI) and machine learning to develop a decision support system capable of delivering a more precise...
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 Impact of Selected Input Features for Lightpath Feasibility Validation Using Artificial Neural Networks Result title Impact of Selected Input Features for Lightpath Feasibility Validation Using Artificial Neural Networks
 Emerging research directions for Machine Learning in Optical Networks Result description Intelligence in Optical NetworksJournal publisher: BUPTPublished year: 2018
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Description To address this challenge, MARVEL delivers a disruptive Edge-to-Fog-to-Cloud ubiquitous computing framework that enables multi-modal perception and intelligence for audio-visual scene recognition, event
 Dynamic Split Computing for Efficient Deep Edge Intelligence Result title Dynamic Split Computing for Efficient Deep Edge Intelligence
 Large deviations rates for stochastic gradient descent with strongly convex functions Result description Intelligence and StatisticsJournal number: 25-27 Apr, 2023Journal publisher: PMLRPublished year: 2023Published pages: 10095-10111DOI identifier: 10.5281/zenodo.7537625
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 ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences Using Artificial Neural Network Result title ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences Using Artificial Neural Network
 Blockchain for Reliable and Secure Distributed Communication Channel Result description pre-formated search via the search engines listed on this page.Authors: Jovan Karamacoski, Natasa Paunkoska, Ninoslav Marina, Magdalena PuncevaJournal title: 2019 IEEE International Conference on Industry 4.0, Artificial
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 Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms Result title Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms Result description Claudio Gallicchio, Alessio Micheli, Mauro Dragone, Alessandro Saffiotti, Pieter Simoens, Filippo Cavallo and Roy Bahr Journal title: Cognitive Hyperconnected Digital Transformation Internet of Things Intelligence
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Description SESAME targets innovations around three central elements in 5G: the placement of network intelligence and applications in the network edge through Network Functions Virtualisation (NFV) and Edge Cloud
 Putting Intelligence in the Network Edge through NFV and Cloud computing: The SESAME Approach Result title Putting Intelligence in the Network Edge through NFV and Cloud computing: The SESAME Approach
 Network Architecture and Essential Features for 5G: The SESAME Project Approach Result description Nasr, Babangida Abubakar, Alan Whitehead, Maria Belesioti, Ioannis ChochliourosJournal title: Artificial Intelligence Applications and InnovationsJournal number: IFIP AICT 475Journal publisher: Springer
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 Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence Result title Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence
 Synaptic metaplasticity with multi-level memristive devices Result description Intelligence Circuits and Systems (AICAS)Journal publisher: IEEEPublished year: 2023DOI identifier: 10.1109/aicas57966.2023.10168563ISBN: 978-1-7281-9201-7
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 ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods Result title ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods
 Cybersecurity threat intelligence common data model Result description This will be the design and specification for the data model agreed as common standard to be used for cybersecurity threat intelligence, as well practical implementation of ENISA proposed cyber-incidents
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 Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data heterogeneity and lack of local annotations Result description Intelligence for Digital Pathology, International Conference on Pattern Recognition (ICPR)Journal publisher: SpringerPublished year: 2021
 Classification of noisy free-text prostate cancer pathology reports using natural language processing Result description Intelligence for Digital Pathology, International Conference on Pattern Recognition (ICPR)Journal publisher: SpringerPublished year: 2021