XR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine Learning: Foundational Vision, Technologies and Challenges.
Christos LiaskosAgeliki TsioliaridouKonstantinos GeorgopoulosIoannis MorianosSotiris IoannidisIosif SalemDionysios ManessisStefan SchmidDimitrios TyrovolasSotiris A. TegosProdromos-Vasileios MekikisPanagiotis D. DiamantoulakisAlexandros PitilakisNikolaos V. KantartzisGeorge K. KaragiannidisAnna C. TasolamprouOdysseas TsilipakosMaria KafesakiIan F. AkyildizAndreas PitsillidesMaria PaterakiMichael VakalellisIlias SpaisPublished in: IEEE Access (2022)
Keyphrases
- machine learning
- computer vision
- image processing
- data mining
- software tools
- radio frequency
- ubiquitous and pervasive
- future trends
- learning systems
- vision system
- practical experiences
- relevance feedback
- computing infrastructure
- source code
- computer systems
- software packages
- active learning
- lessons learned
- machine learning algorithms
- design tools
- emerging technologies
- key technologies
- machine learning methods
- web enabled
- technical aspects
- working environment
- pattern recognition
- software development
- advanced technologies
- high resolution
- real world
- learning algorithm
- technical issues
- business applications
- software systems
- image analysis
- case study
- imaging systems
- data analysis
- software maintenance
- computational tools
- artificial intelligence
- decision trees
- data acquisition
- medical imaging
- medical images
- text mining
- technical solutions
- software as a service
- enabling technologies
- information extraction
- computing platform