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Found 12 papers, 0 papers with code
Artificial Intelligence implementation of onboard flexible payload and adaptive beamforming using commercial off-the-shelf devices
The objectives include validating artificial intelligence-driven scenarios, focusing on flexible payload and adaptive beamforming as machine learning models onboard.
Measured Hockey-Stick Divergence and its Applications to Quantum Pufferfish Privacy
The hockey-stick divergence is a fundamental quantity characterizing several statistical privacy frameworks that ensure privacy for classical and quantum data.
Automated Extraction and Creation of FBS Design Reasoning Knowledge Graphs from Structured Data in Product Catalogues Lacking Contextual Information
Most research and development on automated extraction and creation of KG is based on extensive unstructured data sets that provide contextual information.
Artificial Intelligence Satellite Telecommunication Testbed using Commercial Off-The-Shelf Chipsets
The Artificial Intelligence Satellite Telecommunications Testbed (AISTT), part of the ESA project SPAICE, is focused on the transformation of the satellite payload by using artificial intelligence (AI) and machine learning (ML) methodologies over available commercial off-the-shelf (COTS) AI-capable chips for onboard processing.
LeanAI: A method for AEC practitioners to effectively plan AI implementations
This lack of understanding results in the disconnect between AI planning and implementation because the planning is based on a vision of what AI should solve without considering if it can or will solve it.
Digital Twin: Where do humans fit in?
This piecemeal implementation of DTs often leaves practitioners wondering what roles (or functions) to allocate to DTs in a work system, and how might it impact humans.
A new perspective on Digital Twins: Imparting intelligence and agency to entities
Despite the Digital Twin (DT) concept being in the industry for a long time, it remains ambiguous, unable to differentiate itself from information models, general computing, and simulation technologies.
End-to-end deep learning for directly estimating grape yield from ground-based imagery
The object detection model was trained on hand-labeled images to localize grape bunches, and either bunch count or pixel area was summed to correlate with grape yield.
Digital Twin: From Concept to Practice
Recent technological developments and advances in Artificial Intelligence (AI) have enabled sophisticated capabilities to be a part of Digital Twin (DT), virtually making it possible to introduce automation into all aspects of work processes.
Generalized Iris Presentation Attack Detection Algorithm under Cross-Database Settings
Presentation attacks are posing major challenges to most of the biometric modalities.
Stacking with Neural network for Cryptocurrency investment
Features used are technical indicators used are not limited to trend, momentum, volume, volatility indicators, and sentiment analysis has also been used to gain useful insight combined with the above features.
Uniform Information Density Effects on Syntactic Choice in Hindi
According to the UNIFORM INFORMATION DENSITY (UID) hypothesis (Levy and Jaeger, 2007; Jaeger, 2010), speakers tend to distribute information density across the signal uniformly while producing language.
