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Found 13 papers, 4 papers with code
A framework of windowed octonion linear canonical transform
The uncertainty principle is a fundamental principle in theoretical physics, such as quantum mechanics and classical mechanics.
The Precision Oncology Approach to Molecular Cancer Therapeutics Targeting Oncogenic Signaling Pathways is a Means to an End
Cancer is a deadly genetic disease with diverse aspects of complexity, including cancer immune evasion, treatment resistance, and recurrence requiring optimized treatment to be cured.
DeepCPG Policies for Robot Locomotion
We present novel DeepCPG policies that embed CPGs as a layer in a larger neural network and facilitate end-to-end learning of locomotion behaviors in deep reinforcement learning (DRL) setup.
Reconfiguring Shortest Paths in Graphs
Reconfiguring two shortest paths in a graph means modifying one shortest path to the other by changing one vertex at a time so that all the intermediate paths are also shortest paths.
Robust Deep Reinforcement Learning for Quadcopter Control
However, the policies trained on stationary environments suffer in terms of generalization when transferred from one environment to another.
Fragility curves for power transmission towers in Odisha, India, based on observed damage during 2019 Cyclone Fani
Accordingly, fragility curves for collapse and functionality disruption damage states were developed considering relevant aleatory and epistemic uncertainties.
Reduction in Circulating Current with Improved Secondary Side Modulation in Isolated Current-Fed Half Bridge AC-DC Converter
A dual control variable is adopted to actively reduce the circulating current while maintaining soft switching of both ac and dc side switches across the grid cycle of ac mains voltage.
Polynomial Time $k$-Shortest Multi-Criteria Prioritized and All-Criteria-Disjoint Paths
In the first part of this paper, we study specific settings of the multi-criteria shortest secure path problem, which are based on prioritized multi-criteria and on $k$-shortest secure paths.
Data Structures and Algorithms
Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
The results show faster learning with the presented approach as opposed to learning the control policy from scratch for this new UAV design created by modifications in a conventional quadcopter, i. e., the addition of more degrees of freedom (4-actuators in conventional quadcopter to 8-actuators in tilt-rotor quadcopter).
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
Quality control is an essential process in manufacturing to make the product defect-free as well as to meet customer needs.
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts
This novel toolkit is developed to facilitate easy integration of legacy production machinery and factory floor artifacts with the digital and smart manufacturing environment with no requirement of any physical changes in the machines.
