## 3 Materials and Methods
### Adapted BPSO Algorithm for Feature Selection in the Case of DLAs Sensors Data
\(S_{15}\)-- \(CA_{1},\)\(CA_{2},\)\(HA_{3},\)\(CA_{3},WA_{3},WA_{1},\)\(WA_{2},\)\(HA_{2},\)\(HA_{1},\)\(AA_{2},\)\(AA_{3},\)\(AA_{1},\)\(CG_{3},\)\(AG_{1},\)\(CG_{1},\)\(WG_{2},\)\(HG_{3},\)\(WG_{3},\)\(CG_{2},\)\(HG_{1},\)\(HG_{2},WG_{1},\)\(AG_{3},\)\(AG_{2};\)
16. \(S_{16}\)-- \(CA_{1},\)\(HA_{1},\)\(HA_{2},\)\(HA_{3},\)\(CA_{2},\)\(CA_{3},WA_{3},WA_{1},\)\(WA_{2},\)\(AA_{2},\)\(AA_{3},\)\(AA_{1},\)\(CG_{3},\)\(HG_{1},\)\(AG_{3},\)\(CG_{1},\)\(AG_{2},\)\(AG_{3},\)\(AG_{1},\)\(CG_{2},WG_{2},\)\(HG_{2},WG_{3},\)\(AG_{3},\)\(AG_{3},\)\(AG_{2},\)\(AG_{3},\)\(AG_{1},\)\(AG_{2},\)\(AG_{3},\)\(AG_{1},\)\(AG_{3},\)\(AG_{1},\)\(AG_{2},\)\(AG_{3},\)\* [17]\(S_{17}\)-- \(CA_{1}\), \(CA_{3}\), \(CA_{2}\), \(HA_{2}\), \(WA_{3}\), \(WA_{1}\), \(WA_{2}\), \(HA_{1}\), \(HA_{3}\), \(AA_{2}\), \(AA_{3}\), \(AA_{1}\), \(CG_{3}\), \(HG_{3}\), \(HG_{1}\), \(WG_{2}\), \(AG_{1}\), \(CG_{2}\), \(CG_{1}\), \(WG_{3}\), \(AG_{3}\), \(AG_{2}\), \(WG_{1}\), \(HG_{2}\);
* [18]\(S_{18}\)-- \(CA_{1}\), \(HA_{3}\), \(HA_{1}\), \(CA_{2}\), \(HA_{2}\), \(CA_{3}\), \(WA_{3}\), \(WA_{1}\), \(WA_{2}\), \(AA_{3}\), \(AA_{2}\), \(AA_{1}\), \(CG_{3}\), \(HG_{3}\), \(HG_{1}\), \(CG_{2}\), \(WG_{2}\), \(AG_{1}\), \(HG_{2}\), \(AG_{3}\), \(AG_{2}\), \(WG_{3}\), \(CG_{1}\), \(WG_{1}\);
* [19]\(S_{19}\)-- \(CA_{1}\), \(CA_{2}\), \(HA_{3}\), \(HA_{2}\), \(CA_{3}\), \(WA_{1}\), \(WA_{3}\), \(HA_{1}\), \(WA_{2}\), \(AA_{3}\), \(AA_{2}\), \(AA_{1}\), \(CG_{3}\), \(HG_{3}\), \(HG_{1}\), \(HG_{2}\), \(CG_{2}\), \(CG_{1}\), \(WG_{2}\), \(AG_{2}\), \(AG_{1}\), \(WG_{3}\), \(AG_{3}\), \(WG_{1}\);

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