Abstract: This paper proposes a graph-theoretic approach to ensure stability in networked DC microgrids (DCMGs) during mode switching. This method addresses voltage instability that occurs during mode ...
With strong decision-making ability and environmental adaptability, the development of unmanned autonomous systems has shown a diversified and intelligent trend in the fields of sea, land and air, ...
Abstract: Artificial Neural Network (ANN) is frequently utilized for the development of behavioral models of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs). However, exhaustive ...
As a complex dynamically strongly coupled system, DC distribution system often suffers from voltage collapse due to system resonance. In order to suppress distribution network resonance and bus ...
Metaheuristic algorithms are increasingly being utilized as a global optimal method in the inversion and modeling of magnetic data. We proposed the Bat Algorithm Optimization (BAO) technique that is ...
Assessing power-law cross-correlations between a pair – or among a set – of processes is of great significance in diverse fields of analyses ranging from neuroscience to financial markets. In most ...
EFANNA: an Extremely Fast Approximate Nearest Neighbor search Algorithm framework based on kNN graph
EFANNA uses a composite index to carry out ANN search, which includes an approximate kNN graph and a number of tree structures. They can be built by this library as a whole or seperately. You may ...
This repository contains implementations for the major components of robot perception as part of MIT-Princeton's 1st place winning entry for the stow task at the Amazon Robotics Challenge 2017.
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