Vector of the threshold range cooperated with TH as the reinitiated TSAQM critical term.
The probability model can be written as: where j = 0, 1, 2, 3 indexes the category to which the observation belongs, Φ is the standard cumulative normal density function, and T = [T0, T1, T2, T3]' is the vector of unknown thresholds.
Since the performance of GRED-I [31] is better than both RED and GRED [32, 33], each queue applies GRED-I buffer management with threshold TH and threshold region TR for different traffic classes in the proposed TSAQM scheme, in which threshold TH and threshold region TR denote the vector of each queue's threshold and threshold region, respectively.
The parameters to be estimated are θ = (τ, ν, Λ, K, Ω, α, B, Γ, Ψ) where τ denotes the vector of all unknown thresholds.
where P d j is the detection probability for channel j; P ̂ d j denotes the target detection probability; ε → j and τ → j represent the vectors of detection thresholds and sensing times on channel j, respectively; a j describes the parameter of the a j -out-of- b j aggregation rule for SDCSS on channel j with b j = | S j U | where recall that S j U is the set of SUs sensing channel j.
There are two kinds of threshold vectors that are proposed by the ANN algorithm.
Microsaccades were analyzed every 10 ms by using a vector velocity threshold of 10 deg/s (this corresponds to a 0.1 deg eye movement between consecutive 10-ms intervals).
Vector of each queue's threshold.
While lowering the Hamming distance in the Hamming block gave rise to progressively more perseverative responses, changing the threshold vector of the Hopfield network resulted in more set maintenance failures.
For a vector of normally distributed data, this threshold corresponds to approximately 5% of the data.
