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Found 5 papers, 3 papers with code
CURE: Simulation-Augmented Auto-Tuning in Robotics
This paper proposes CURE -- a method that identifies causally relevant configuration options, enabling the optimization process to operate in a reduced search space, thereby enabling faster optimization of robot performance.
BiofilmScanner: A Computational Intelligence Approach to Obtain Bacterial Cell Morphological Attributes from Biofilm Image
Desulfovibrio alaskensis G20 (DA-G20) is utilized as a model for sulfate-reducing bacteria (SRB) that are associated with corrosion issues caused by microorganisms.
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots
Finding the root cause of such faults is challenging due to the exponentially large configuration space and the dependencies between the robot's configuration settings and performance.
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems
The challenge is to allocate user requests for different ML applications on the Heterogeneous Edge Computing Systems (HEC) with respect to both the energy and latency constraints of these systems.
Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS
Measuring soil health indicators is an important and challenging task that affects farmers' decisions on timing, placement, and quantity of fertilizers applied in the farms.
