Rezultati - "Learning"

3D Analysis of Human Movement, Sport, and Health Promotion

Teme: “...machine learning...”
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The Impact of Digital Technologies on Public Health in Developed and Developing Countries 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24-26, 2020, Proceeding...

Teme: “...machine learning...”
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Computational Methods for Risk Management in Economics and Finance od Resta, Marina

Teme: “...deep learning...”
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Electromagnetic Technologies for Medical Diagnostics. Fundamental Issues, Clinical Applications and Perspectives od Crocco , Lorenzo

Teme: “...machine learning...”
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Machine Learning in Insurance

Teme: “...machine learning...”
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Additive Manufacturing (AM) of Metallic Alloys

Teme: “...machine learning...”
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Big Data Computing for Geospatial Applications

Teme: “...machine learning...”
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Advances in Experimental and Computational Rheology, Volume II

Teme: “...machine learning...”
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Partnerships for the Sustainable Development Goals (SDGs)

Teme: “...inter-organizational learning...”
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Smart Sensing Technologies for Personalised Coaching

Teme: “...machine learning...”
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Fiber Optic Sensors and Fiber Lasers

Teme: “...machine learning...”
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Edge/Fog Computing Technologies for IoT Infrastructure

Teme: “...deep reinforcement learning (DRL)...”
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Semiconductor Memory Devices for Hardware-Driven Neuromorphic Systems

Teme: “...on-chip learning...”
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Neuroendocrine Control of Energy Metabolism

Teme: “...learning...”
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Power Electronics and Energy Management for Battery Storage Systems

Teme: “...machine learning...”
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Adsorption Desalination and Cooling Systems: Advances in Design, Modeling and Performance

Teme: “...deep learning...”
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Nutrition, Diet Quality, Aging and Frailty

Teme: “...memory and learning tests...”
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Mapping Indigenous Knowledge in the Digital Age

Teme: “...learning community...”
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Probability and Stochastic Processes with Applications to Communications, Systems and Networks

Teme: “...deep machine learning...”
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Implementation of Chemometrics and Other Techniques as Means of Authenticity and Traceability to Detect Adulteration in Foods for the Protection of Human Health

Teme: “...machine learning...”
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