24 items found

Tags: 59999 Environmental Sciences not elsewhere classified WSN

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  • dataset

    Quantitative 9-point scale.

    Quantitative 9-point scale.
  • dataset

    Notations of BAN logic.

    Notations of BAN logic.
  • dataset

    r37980778c78--bb255815f56d78708e3ef22aa93f9caa

    Set of admissible controls U (see Eqs 22 to 25).
  • dataset

    Average Cross-correlation Coefficients–(M, T).

    Average Cross-correlation Coefficients–(M, T).
  • dataset

    r37980778c78--e9268518d7d27f9626ba92a1b3a094e6

    (ZIP)
  • dataset

    r37980778c78--128b6b1dcfb9b1a16de85bcedf859a45

    Criteria parameters.
  • dataset

    r37980778c78--5747f66f108d9deeb6f8b7c92b086f11

    Weighted supermatrix.
  • dataset

    Functionality comparison of our scheme with other related schemes.

    Functionality comparison of our scheme with other related schemes.
  • dataset

    r37980778c78--ed14d78d16301950e9a2ec54c591bca2

    Set of parameters P (see Eqs 22 to 25).
  • dataset

    Periods (in hours) of decomposed data series with EEMD.

    Periods (in hours) of decomposed data series with EEMD.
  • dataset

    r37980778c78--dea841238121a775f3f91f6b0f48671d

    System parameters used in simulations.
  • dataset

    r37980778c78--4f929bb40d5e127f33e76519fcac6591

    Recent advances in animal tracking technology have ushered in a new era in biologging. However, the considerable size of many sophisticated biologging devices restricts their...
  • dataset

    Simulation parameters.

    MBR = MPW = MCV = 100, MCA = WBA. n ∈ {3, 9, 27}, WBA ∈ [0.1, 2], WPC ∈ [0, 20], WCT = 0.1. ⌈n/2⌉ groups of size 1 and ⌊n/2⌋ of size chosen uniformly at random from [1, ⌊n/2⌋]....
  • dataset

    Limit supermatrix.

    Limit supermatrix.
  • dataset

    r37980778c78--f98fef61a4a016125f26c2da00d41e89

    Largest sampling frequency inputs λ (in packets/s) for different values of Rmin and Dmax.
  • dataset

    WSN group and location.

    WSN group and location.
  • dataset

    Set of state constraint <i>K</i> (see Eqs 22 to 25).

    Set of state constraint K (see Eqs 22 to 25).
  • dataset

    Average Cross-correlation Coefficients–(M, P).

    Average Cross-correlation Coefficients–(M, P).
  • dataset

    Notation definitions.

    Notation definitions.
  • dataset

    Average Cross-correlation Coefficients–(T, P).

    Average Cross-correlation Coefficients–(T, P).