In this work, we implement a relatively analytical technique, the homotopy perturbation method (HPM), for solving nonlinear partial differential equations of fractional order.
These architectures implement a relatively fast and reliable signal processing algorithm, based on a feature detection technique and support vector machines, for identifying the transmissions in a given environment.
In this work, we implement a relatively new analytical technique, the exp-function method, for solving nonlinear special form of generalized nonlinear (2 + 1) dimensional Broer Kaup Kupershmidt equation, which may contain high nonlinear terms.
In this work, we implement a relatively new analytical technique, the Exp-Function method, for solving special form of generalized nonlinear Benjamin Bona Mahony Burgers equation (BBMB) which may contain high nonlinear terms.
In this manuscript, we implement a relatively new analytic iterative technique for solving time space-fractional linear partime space-fractionalations subject to given constraints conditions based on the generalinearTaylor series formula.
Hence, driven by the need to overcome the limits to early rehabilitation posed by LIA and abductor canal block in the fast track protocol, our department decided to implement a relatively new patient-controlled analgesia system Zalviso® (AcelRx Pharmaceuticals, Redwood City, CA), approved for marketing in Europe in 2015.
Thus, monkey LIP seems to work as a device that implements a relatively quick rise-to-threshold mechanism for various types of visuo-motor responses when a perceptual decision is required [51].
In this journal, Shulman et al. [ 1] report the results of another prospective glycaemic control study utilizing a computerized protocol to implement a relatively complex protocol.
Our HPLC gradient system differs from that proposed by Sonnenschein, Soto and coworkers [ 1], because we implement a relatively long isocratic elution period prior to applying the gradient.
We achieved the latter by implementing a relatively simple (computationally speaking) 'activity-regulation' mechanism mimicking a coarse-grained attentional threshold control system (see Section 3.1.3) and by keeping the total number of cells in the network within a manageable range.
