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Found 4 papers, 1 papers with code
Comparing a composite model versus chained models to locate a nearest visual object
Extracting information from geographic images and text is crucial for autonomous vehicles to determine in advance the best cell stations to connect to along their future path.
Tackling Asymmetric and Circular Sequential Social Dilemmas with Reinforcement Learning and Graph-based Tit-for-Tat
To tackle this issue, this paper extends SSD with Circular Sequential Social Dilemma (CSSD), a new kind of Markov games that better generalizes the diversity of cooperation between agents.
Context-Aware Adaptive Framework for e-Health Monitoring
For improving e-health services, we propose a context-aware framework to monitor the activities of daily living of dependent persons.
A Markovian-based Approach for Daily Living Activities Recognition
Recognizing the activities of daily living plays an important role in healthcare.
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