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Kinematic and dynamic design and optimization of a parallel rehabilitation robot
In this paper, a method for concurrent optimum design of a complex parallel manipulator is introduced. The manipulator is a three-degree-of-freedom mechanism used as a walking... -
Efficient training of deep learning models through improved adaptive sampling
Training of Deep Neural Networks (DNNs) is very computationally demanding and resources are typically spent on training-instances that do not provide the most benefit to a... -
Mechanism Design Optimization of a Portable Scanner for Measuring Atmosphere ...
In contrast with other kinds of atmospheric pollutants, light pollution does not present highly-variable patterns in short time periods. Hence, the cost of a monitoring network... -
Optimization of sensor locations for a light pollution monitoring network
Light Pollution is an environmental problem that needs to be retrieved by experimental means. However, to the best of our knowledge, there is no methodology nor a quantitative...
