| Title | Date | Views | Brief Description |
|---|
| Adapting canonical particle swarm optimization to a swarm of Kilobots in event location tasks |
2018 |
2406 |
In nature, there are many species who are tiny and simple as individuals, but are very organized and effective as a group, for foraging, defense, and other tasks. This phenomenon has inspired the development of swarm robotics, which has been applied ... |
| Building kilobots and revising kilobot design for improving the optical response |
2020 |
2393 |
Inspired by the emergent behavior of swarms, we want to eventually use a distributed self-organizing swarm of robots for shape formation. To verify the idea using real robots in the experiment, we need to first build more Kilobots to enlarge our repo... |
| Comparison of search algorithms in two-stage neural network training for optical character recognition of handwritten digits |
2020 |
407 |
Neural networks are a powerful machine learning technique that give a system the ability to develop multiple levels of abstraction to interpret data. Such networks require training to develop the neural layers and neuron weights in order to form reas... |
| ROI detection in SPR measurements and molecule binding parameter estimation |
2015 |
1410 |
Since 1983 when Surface Plasmon Resonance (SPR) was first proposed, it has become a widelyusedmethodology for various biosensing applications. In a SPR biosensing system in arrayformat, locating the region of interest (ROI) and estimating themolecule... |