Results 161 to 170 of about 1,533 (240)

Soliton dynamics of the fourth-order nonlinear Boussinesq equation arising in shallow-water via advanced analytical techniques. [PDF]

Sci Rep
Malik S, Boulaaras SM, Talafha AM, Sağlam FNK.   +3 more
europepmc   +1 more source

A Diagnostic Procedure for Identifying Isotherm Models in Liquid Chromatography. [PDF]

Ind Eng Chem Res
Katsoulas K, Galvanin F, Mazzei L, Sorensen E.   +3 more
europepmc   +1 more source

Fractional order effects on solitary waves and chaotic regimes in the mKdV Burgers equation. [PDF]

Sci Rep
Islam MA, Rimu NN, Dey P.
europepmc   +1 more source

Optical soliton solutions of the M-fractional paraxial wave equation. [PDF]

Sci Rep
Bashar MH, Mannaf MA, Rahman MM, Khatun MT.   +3 more
europepmc   +1 more source

Explicit solitary wave structure for the stochastic resonance nonlinear Schrödinger equation under Brownian motion with dynamical analysis. [PDF]

Sci Rep
Nawaz S, Ahmed MO, Baber MZ, Bittaye E, Yasin MW.   +4 more
europepmc   +1 more source

Transfer learning for subject-independent motor imagery EEG classification using convolutional relational networks. [PDF]

Front Neurosci
Otarbay Z, Kyzyrkanov A.
europepmc   +1 more source

Dynamical study of different types of soliton solutions with bifurcation, chaos and sensitivity analysis to the non-linear coupled Schrödinger model. [PDF]

Sci Rep
Nasir R, Abbas M, Alharthi MR, Nazir T, Yousaf MZ, Birhanu A.   +5 more
europepmc   +1 more source

Chaotic analysis, hopf bifurcation and collision of optical periodic solitons in (2+1)-dimensional degenerated Biswas-Milovic equation with Kerr law of nonlinearity. [PDF]

Sci Rep
Al-Sawalha MM, Noor S, Shah R, Yasmin H.
europepmc   +1 more source

Analytical and numerical solutions of MABC fractional advection dispersion models by utilizing the modified physics informed neural networks with impacts of fractional derivative. [PDF]

Sci Rep
Az-Zo'bi EA, Hussain AS, Iqbal M, Aljohani A, Tashtoush MA, Alsubaie NE, Al-Hamarneh FKA, Nazar NM, Baleanu D.   +8 more
europepmc   +1 more source

Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction. [PDF]

G3 (Bethesda)
Kusmec A, Negus KL, Yu J.
europepmc   +1 more source