Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Material quality assessment of silk nanofibers based on swarm
  intelligence   In this paper, we propose a novel approach for texture analysis based on
artificial crawler model. Our method assumes that each agent can interact with
the environment and each other. The evolution process converges to an
equilibrium state according to the set of rules. For each textured image, the
feature vector is composed by signatures of the live agents curve at each time.
Experimental results revealed that combining the minimum and maximum signatures
into one increase the classification rate. In addition, we pioneer the use of
autonomous agents for characterizing silk fibroin scaffolds. The results
strongly suggest that our approach can be successfully employed for texture
analysis.

36
The categories of this paper are: cmp-lg
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci