Home Technology New kink-periodic and convex–concave-periodic solutions to the modified regularized long wave equation by means of modified rational trigonometric–hyperbolic functions
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New kink-periodic and convex–concave-periodic solutions to the modified regularized long wave equation by means of modified rational trigonometric–hyperbolic functions

  • Marwan Alquran EMAIL logo , Omar Najadat , Mohammed Ali and Sania Qureshi
Published/Copyright: August 4, 2023
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Abstract

The significance of different types of periodic solutions in nonlinear equations is vital across various practical applications. Our objective in this study was to uncover novel forms of periodic solutions for the modified regularized long wave equation. This particular model holds great importance in the realm of physics as it characterizes the propagation of weak nonlinearity and space-time dispersion waves, encompassing phenomena like nonlinear transverse waves in shallow water, ion-acoustic waves in plasma, and phonon waves in nonlinear crystals. By employing the methodology of modified rational sine-cosine and sinh–cosh functions, we successfully derived new kink-periodic and convex–concave-periodic solutions. To showcase the superiority of our proposed approach, we conducted a comparative analysis with the alternative Kudryashov-expansion technique. Furthermore, we visually depicted the diverse recovery solutions through 2D and 3D plots to enhance the understanding of our findings.

1 Introduction

Nonlinear partial differential equations (NLPDEs) are commonly utilized as fundamental mathematical equations to model various physical phenomena in numerous fields of engineering, science, and physics. Explicit solutions to NLPDEs are highly beneficial for visualizing the dynamics of a wide range of applications and phenomena. Obtaining solutions with diverse physical structures for a particular model can lead to a better comprehension of the underlying mechanisms and processes of its dynamic system and help in its development and maintenance.

NLPDEs have solutions known as propagation wave-solutions, which encompass a diverse range of types such as soliton, kink, cusp, periodic, breather, lump, rogue, and more. No single method generates all these types of solutions simultaneously, and each approach has its own specific construction to generate a few types. In recent decades, many approaches have been developed to extract various types of solitary wave solutions, enriching the field of solitons. Some of the updated approaches and recent techniques include the Hirota bilinear method with Cole–Hopf transformations, which has offered new types of solitons such as multi-solitons, rogue, lump, and breather waves that have significant applications in water waves and optical pulses [14]. Other suggested scheme-solutions involve exponential, trigonometric, or hyperbolic functions, such as the simplified bilinear method [5,6], polynomial function method [7,8], modified ( G G ) -expansion [9], modified Kudryashov-expansion [10], Lie-symmetry [11], generalized exponential rational function method [12], and numerous other methods [1318].

The main goal of this work is to explore periodic solutions, never been reported earlier, for the modified regularized long wave (MRLW) equation, which reads

(1) Ω t + Ω x + α Ω 2 Ω x + β Ω x x t = 0 , Ω = Ω ( x , t ) .

The presence of different types of periodic solutions to nonlinear equations plays a crucial role in various real-life applications. For instance, in the field control systems and electrical engineering, periodic solutions provide valuable insights into the stability of a system. By studying the stability properties of periodic solutions, engineers and scientists can assess the behavior of a system over time and make predictions about its long-term stability. In nonlinear dynamics, different applications in nature and engineering are represented by nonlinear systems. Understanding the different types of periodic solutions helps in studying and predicting complex behaviors in these systems. Nonlinear dynamics provide insights into phenomena such as chaos, bifurcations, and attractors, which have applications in fields like weather prediction, population dynamics, and neural networks. Moreover, periodic solutions are also valuable in energy harvesting applications. Many natural and engineered systems exhibit periodic behavior that can be harnessed to generate electricity. Overall, the presence of different types of periodic solutions in nonlinear equations enhances our understanding of complex systems and provides practical benefits in various fields, ranging from engineering and physics to biology and environmental sciences.

In Eq. (1), the parameters α , β refer to the nonlinearity and time-space dispersion, respectively. The MRLW equation is very important application in the media of physics since it describes the propagation of weak nonlinearity and space-time dispersion waves, including nonlinear transverse waves that arise in shallow water, ion-acoustic waves in plasma, and phonon waves in nonlinear crystals.

The MRLW has been investigated in a few occasions, for example, the B-spline collocation numerical scheme is used to find approximate solutions for specific values of the nonlinearity and dispersion coefficients [19]. Also, by using the Fourier spectral method, bell-shaped solution is obtained [20]. By implementing of the cosine-function algorithm, the secant solution is obtained for the case of α = 1 and β = 1 [21]. Moreover, via the conservation laws, the sech-solution is reported for the MRLW [22]. Finally, numerical solutions of the MRLW equation are obtained by means of quintic B-splines, quartic B-splines, septic B-spline collocation, and Petrov Galerkin finite element method [2325].

To the best of our knowledge, the contributions to the MRLW equation are limited. It is manifested from the literature point of view that there are some scopes for further investigations on the MRLW equation to explore new periodic solutions via the modified rational sine-cosine/sinh–cosh function method and the Kudryashov-expansion method as well as to draw their physical clarifications.

2 Explicit solutions to the MRLW model

To recognize travelling wave solutions to a NLPDE, we use linear transformation to reduce it into simplified ordinary differential equation. In particular, we consider the new independent variable z = x c t to reduce (1) to the following differential equation:

(2) ( 1 c ) U ( z ) + α 3 U 3 ( z ) β c U ( z ) = 0 ,

where U ( z ) = Ω ( x , t ) . Next, we solve (2) by implementing two recent effective approaches: the Kudryashov’s method [26,27] and the modified rational trigonometric and hyperbolic functions schemes [2830].

2.1 Approach I: Kudryashov-expansion

The Kudryashov solution of (2) is of the following form:

(3) U ( z ) = A + B Y ,

where Y = Y ( z ) = 1 1 + δ e μ z satisfies Y = Y ( z ) = μ Y ( Y 1 ) . By plugging (3) into (2) and collecting the coefficients of Y i , we obtain the nonlinear system:

(4) 0 = α A 3 3 A c + 3 A , 0 = 3 α A 2 B 3 β B c μ 2 3 B c + 3 B , 0 = 3 α A B 2 + 9 β B c μ 2 , 0 = α B 3 6 β B c μ 2 .

By solving the aforementioned four equations, we reach at the following findings:

(5) A = 3 β μ α ( β μ 2 2 ) , B = ± 2 3 β μ α ( β μ 2 2 ) , c = 2 β μ 2 2 .

Accordingly, the Kudryashov solution of MRLW is

(6) Ω ( x , t ) = 3 β μ δ e μ 2 t β μ 2 2 + x 1 α ( β μ 2 2 ) δ e μ 2 t β μ 2 2 + x + 1 .

The parameter δ that appear in (6) is known as the Kudryashov index, which determines whether the wave is singular ( δ < 0 ) or nonsingular ( δ > 0 ), and Figure 1 shows the physical structure of (6), kink-wave δ > 0 , and singular-kink-wave δ < 0 .

Figure 1 
                  Kink and singular-kink of MRLW as depicted in (6): (a) 
                        
                           
                           
                              δ
                              >
                              0
                           
                           \delta \gt 0
                        
                      and (b) 
                        
                           
                           
                              δ
                              <
                              0
                           
                           \delta \lt 0
                        
                     .
Figure 1

Kink and singular-kink of MRLW as depicted in (6): (a) δ > 0 and (b) δ < 0 .

2.2 Approach II: modified rational trigonometric/hyperbolic functions

We aim here to investigate travelling periodic-wave solutions to the MRLW by considering different types of rational functions in terms of trigonometric and hyperbolic functions. Four suggestions will be offered in this section.

2.2.1 Rational sine–cosine

The suggested solution is

(7) U ( z ) = 1 + a 1 sin ( μ z ) a 2 + a 3 cos ( μ z ) .

Then, we insert (7) in (2) to obtain

(8) P ( 1 , sin ( μ z ) , cos ( μ z ) , sin ( 2 μ z ) , sin 2 ( μ z ) , sin 3 ( μ z ) ) ( a 2 + a 3 cos ( μ z ) ) 3 = 0 .

From (8), we null the coefficients of 1 , sin ( μ z ) , , sin 3 ( μ z ) to obtain

(9) 0 = α 3 a 2 2 ( c 1 ) 3 a 3 2 ( β c μ 2 + c 1 ) , 0 = 3 a 2 a 3 ( c ( β μ 2 + 2 ) 2 ) , 0 = 3 a 1 ( α + a 2 2 ( c ( β μ 2 1 ) + 1 ) a 3 2 ( 2 β c μ 2 + c 1 ) ) , 0 = 1 2 ( 3 ) a 1 a 2 a 3 ( c ( β μ 2 + 2 ) 2 ) , 0 = 3 ( a 3 2 ( c ( β μ 2 1 ) + 1 ) α a 1 2 ) , 0 = a 1 ( α a 1 2 + 3 a 3 2 ( c 1 ) ) .

By solving the aforementioned system, we deduce the following three cases:

Case 1:

(10) a 1 = 3 a 3 β μ α ( β μ 2 + 2 ) , a 2 = 3 a 3 2 β μ 2 α ( β μ 2 + 2 ) β μ 2 + 2 3 6 β μ 2 + 2 , c = 2 β μ 2 + 2 .

Case 2:

(11) a 1 = 1 , a 2 = 0 , μ = 2 α β ( 3 a 3 2 α ) , c = 1 α 3 a 3 2 .

Case 3:

(12) a 1 = 0 , a 2 = 0 , μ = α β ( α + 6 a 3 2 ) , c = α 6 a 3 2 + 1 .

As a result, the first three periodic solutions to MRLW labeled as Ω 1 , Ω 2 , Ω 3 are as follows:

(13) Ω 1 ( x , t ) = 1 3 a 3 β μ sin μ x 2 t β μ 2 + 2 α ( β μ 2 + 2 ) a 3 cos μ x 2 t β μ 2 + 2 3 a 3 2 β μ 2 α ( β μ 2 + 2 ) β μ 2 + 2 3 6 β μ 2 + 2 , Ω 2 ( x , t ) = 1 a 3 tan 2 α t α 3 a 3 2 1 + x β ( 3 a 3 2 α ) 1 a 3 sec 2 α t α 3 a 3 2 1 + x β ( 3 a 3 2 α ) , Ω 3 ( x , t ) = 1 a 3 sec α t α 6 a 3 2 1 + x β ( α + 6 a 3 2 ) .

By selecting a 3 = μ = α = β = 1 , Figure 2 shows the propagation of kink-periodic waves as depicted in Ω 1 , and Figure 3 shows the motion of convex–concave-periodic waves as depicted in Ω 3 . For the same assigned values, Ω 2 has the same physical shape as for Ω 3 .

Figure 2 
                     Kink-periodic waves of MRLW as depicted in 
                           
                              
                              
                                 
                                    
                                       Ω
                                    
                                    
                                       1
                                    
                                 
                              
                              {\Omega }_{1}
                           
                        .
Figure 2

Kink-periodic waves of MRLW as depicted in Ω 1 .

Figure 3 
                     Convex–concave-periodic waves of MRLW as depicted in 
                           
                              
                              
                                 
                                    
                                       Ω
                                    
                                    
                                       3
                                    
                                 
                              
                              {\Omega }_{3}
                           
                        .
Figure 3

Convex–concave-periodic waves of MRLW as depicted in Ω 3 .

2.2.2 Rational cosine–sine

The suggested solution is

(14) U ( z ) = 1 + a 1 cos ( μ z ) a 2 + a 3 sin ( μ z ) .

By substituting (14) into (2), we obtain the same system as in (9). Thus, the same findings as in (10)–(12). Accordingly, three new more periodic solutions will be attained to MRLW labeled as Ω 4 , Ω 5 , Ω 6 and given by

(15) Ω 4 ( x , t ) = 1 3 a 3 β μ cos μ x 2 t β μ 2 + 2 α ( β μ 2 + 2 ) a 3 sin μ x 2 t β μ 2 + 2 3 a 3 2 β μ 2 α ( β μ 2 + 2 ) β μ 2 + 2 3 6 β μ 2 + 2 , Ω 5 ( x , t ) = 1 a 3 cot 2 α t α 3 a 3 2 1 + x β ( 3 a 3 2 α ) 1 a 3 csc 2 α t α 3 a 3 2 1 + x β ( 3 a 3 2 α ) , Ω 6 ( x , t ) = 1 a 3 csc α t α 6 a 3 2 1 + x β ( α + 6 a 3 2 ) .

We point here that the physical types of Ω 4 , Ω 5 , Ω 6 are the same as reported in Ω 1 , Ω 2 , Ω 3 .

2.2.3 Rational sinh–cosh

The suggested solution is

(16) U ( z ) = 1 + a 1 sinh ( μ z ) a 2 + a 3 cosh ( μ z ) .

Then, we insert (16) in (2) to obtain

(17) Q ( 1 , sinh ( μ z ) , cosh ( μ z ) , sinh ( 2 μ z ) , sinh 2 ( μ z ) , sinh 3 ( μ z ) ) ( a 2 + a 3 cosh ( μ z ) ) 3 = 0 .

From (8), we collect the coefficients of 1 , sinh ( μ z ) , , sinh 3 ( μ z ) and null them to zero to arrive a nonlinear algebraic system in the unknowns a 1 , a 1 , a 1 , μ , c . By solving the resulting system, we obtain two cases:

Case A:

(18) a 1 = 3 a 3 β μ α ( β μ 2 2 ) , a 2 = α ( 2 β μ 2 ) + 3 a 3 2 β μ 2 β μ 2 2 6 β μ 2 2 + 3 , c = 2 β μ 2 2 .

Case B:

(19) a 1 = i , a 2 = 0 , μ = i 2 α β ( α 3 a 3 2 ) , c = 1 α 3 a 3 2 .

From case A, we obtain the following new kink-soliton solution to MRLW labeled as Ω 7 and given by

(20) Ω 7 ( x , t ) = 1 3 a 3 β μ sinh μ 2 t β μ 2 2 + x α ( β μ 2 2 ) a 3 cosh μ 2 t β μ 2 2 + x α ( 2 β μ 2 ) + 3 a 3 2 β μ 2 β μ 2 2 6 β μ 2 2 + 3 .

From case B, we obtain the same solution as depicted in Ω 2 .

2.2.4 Rational cosh–sinh

The suggested solution is

(21) U ( z ) = 1 + a 1 cosh ( μ z ) a 2 + a 3 sinh ( μ z ) .

By using the same steps applied to the aforementioned suggested solutions, we insert (21) in (2) and collect the coefficients of 1 , cosh ( μ z ) , , cosh 3 ( μ z ) and null them to zero to arrive a nonlinear algebraic system in the unknowns a 1 , a 1 , a 1 , μ , c . By solving the resulting system, we obtain four cases:

Case i:

(22) a 1 = 3 a 3 β μ α ( β μ 2 2 ) , a 2 = α ( β μ 2 2 ) + 3 a 3 2 β μ 2 β μ 2 2 6 β μ 2 2 3 , c = 2 β μ 2 2 .

Case ii:

(23) a 1 = a 2 = 0 , μ = α β ( 6 a 3 2 α ) , c = 1 α 6 a 3 2 .

Case iii:

(24) a 1 = 1 , a 2 = 0 , μ = 2 α β ( α + 3 a 3 2 ) , c = α 3 a 3 2 + 1 .

Case iv:

(25) a 1 = 1 , a 2 = 0 , μ = 2 α β ( α + 3 a 3 2 ) , c = α 3 a 3 2 + 1 .

Now, by combining the aforementioned four cases with (21), more new solutions of the MRLW will be attained, labeled as Ω 8 , Ω 9 , Ω 10 , and Ω 11 and given by:

(26) Ω 8 ( x , t ) = 1 3 a 3 β μ cosh μ 2 t β μ 2 2 + x α ( β μ 2 2 ) a 3 sinh μ 2 t β μ 2 2 + x α ( β μ 2 2 ) + 3 a 3 2 β μ 2 β μ 2 2 6 β μ 2 2 3 .

(27) Ω 9 ( x , t ) = 1 a 3 csch α t α 6 a 3 2 1 + x β ( 6 a 3 2 α ) .

(28) Ω 10 ( x , t ) = 1 a 3 tanh α t α 3 a 3 2 1 + x 2 β ( α + 3 a 3 2 ) .

(29) Ω 11 ( x , t ) = 1 a 3 coth α t α 3 a 3 2 1 + x 2 β ( α + 3 a 3 2 ) .

For instance, if we assign the values a 3 = α = β = 1 and μ = 0.5 , one can check that the types of Ω 8 , Ω 9 , Ω 10 , and Ω 11 are kink, singular-kink, kink, and singular-kink, respectively.

3 Discussions

Periodic solution refers to a solution that repeats itself after a certain period. In other words, the solution exhibits a recurring pattern over time. Kink solution is a type of soliton that describes a localized wave disturbance or discontinuity in a system. It is characterized by a sharp change or jump in the field or variable being described. The kink solution typically connects different stable equilibrium states. Singular-Kink solution: A singular-kink solution refers to a special type of kink solution where the wave disturbance or discontinuity becomes particularly sharp or intense. It is associated with a singularity or a point of non-analytic behavior in the solution. Kink periodic solution combines the concepts of a kink solution and a periodic solution, where the wave shape or kink repeats itself periodically. Convex–concave periodic solution refers to a periodic solution that alternates between convex and concave shapes. In other words, the solution exhibits regions where it is curved outward (convex) and regions where it is curved inward (concave) in a repeating manner.

Now, we demonstrate the advantages of employing the adapted rational sine-cosine/sinh–cosh functions for identifying periodic solutions to the MRLW equation. Our intention is to offer a concise summary of the research outcomes by presenting them as bullet points accompanied by simplified explanations.

  • The tanh-solution Ω 10 and coth-solution Ω 11 can be derived directly by using the tanh–coth expansion method.

  • Both Ω 2 and Ω 3 can be obtained by using the sec-tan expansion method.

  • Both Ω 5 and Ω 6 can be extracted by using the csc–cot method.

  • The solution Ω 9 can be attained by using the csch-expansion method.

  • For μ = 2 α β ( α + 3 a 3 2 ) , for the case of δ = 1 , the Kudryashov solution (6) is the same as Ω 10 . Also, for δ = 1 , the Kudryashov solution (6) is the same as Ω 11 .

  • The solutions Ω 1 , Ω 4 , Ω 7 , Ω 8 are presented in this work for the first time and they are of type kink-periodic and convex–concave-periodic.

In summary, we may say that the modified rational sine-cosine/sinh–cosh approach is a comprehensive hybrid scheme that generates wave solutions of different physical shapes that cannot be found using a single method. The proposed approach includes other well-known methods in terms of giving similar solutions as shown in the cases of tanh–coth expansion, csc–cot expansion, csch-expansion, and the Kudryashov-expansion.

4 Conclusion

This work introduces a novel investigation of the MRLW equation, focusing on the discovery of previously unrevealed periodic solutions. These solutions were derived using a contemporary approach known as modified rational sine–cosine and sinh–cosh functions. The effectiveness of this method is demonstrated through a comparative analysis with previous approaches, highlighting its capability to identify multiple solutions with diverse physical characteristics.

There are possibilities for exploring new avenues in future research that are directly relevant to the current work. For instance, one can broaden the scope of the MRLW model by incorporating time/space fractional derivatives and examining their influence on the propagation of its solitary waves. By employing various explicit and numerical techniques [3138], both explicit fractional soliton solutions and numerical-analytical solutions can be obtained.

Acknowledgments

We would like to express our sincere gratitude to the editor and the reviewers for their time and efforts in providing valuable feedback on our work. Their insightful comments and suggestions have significantly improved the quality of our manuscript, and we are extremely grateful for their expertise and dedication.

  1. Funding information: No funding is received for this work.

  2. Author contributions: The manuscript’s content has been equally contributed by all authors, and they have all approved its submission.

  3. Conflict of interest: The authors declare that they have no conflict of interest.

  4. Data availability statement: Not applicable.

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Received: 2023-06-17
Revised: 2023-07-09
Accepted: 2023-07-12
Published Online: 2023-08-04

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  8. Overlapping grid SQLM for third-grade modified nanofluid flow deformed by porous stretchable/shrinkable Riga plate
  9. Research on indoor localization algorithm based on time unsynchronization
  10. Performance evaluation and optimization of fixture adapter for oil drilling top drives
  11. Nonlinear adaptive sliding mode control with application to quadcopters
  12. Numerical simulation of Burgers’ equations via quartic HB-spline DQM
  13. Bond performance between recycled concrete and steel bar after high temperature
  14. Deformable Laplace transform and its applications
  15. A comparative study for the numerical approximation of 1D and 2D hyperbolic telegraph equations with UAT and UAH tension B-spline DQM
  16. Numerical approximations of CNLS equations via UAH tension B-spline DQM
  17. Nonlinear numerical simulation of bond performance between recycled concrete and corroded steel bars
  18. An iterative approach using Sawi transform for fractional telegraph equation in diversified dimensions
  19. Investigation of magnetized convection for second-grade nanofluids via Prabhakar differentiation
  20. Influence of the blade size on the dynamic characteristic damage identification of wind turbine blades
  21. Cilia and electroosmosis induced double diffusive transport of hybrid nanofluids through microchannel and entropy analysis
  22. Semi-analytical approximation of time-fractional telegraph equation via natural transform in Caputo derivative
  23. Analytical solutions of fractional couple stress fluid flow for an engineering problem
  24. Simulations of fractional time-derivative against proportional time-delay for solving and investigating the generalized perturbed-KdV equation
  25. Pricing weather derivatives in an uncertain environment
  26. Variational principles for a double Rayleigh beam system undergoing vibrations and connected by a nonlinear Winkler–Pasternak elastic layer
  27. Novel soliton structures of truncated M-fractional (4+1)-dim Fokas wave model
  28. Safety decision analysis of collapse accident based on “accident tree–analytic hierarchy process”
  29. Derivation of septic B-spline function in n-dimensional to solve n-dimensional partial differential equations
  30. Development of a gray box system identification model to estimate the parameters affecting traffic accidents
  31. Homotopy analysis method for discrete quasi-reversibility mollification method of nonhomogeneous backward heat conduction problem
  32. New kink-periodic and convex–concave-periodic solutions to the modified regularized long wave equation by means of modified rational trigonometric–hyperbolic functions
  33. Explicit Chebyshev Petrov–Galerkin scheme for time-fractional fourth-order uniform Euler–Bernoulli pinned–pinned beam equation
  34. NASA DART mission: A preliminary mathematical dynamical model and its nonlinear circuit emulation
  35. Nonlinear dynamic responses of ballasted railway tracks using concrete sleepers incorporated with reinforced fibres and pre-treated crumb rubber
  36. Two-component excitation governance of giant wave clusters with the partially nonlocal nonlinearity
  37. Bifurcation analysis and control of the valve-controlled hydraulic cylinder system
  38. Engineering fault intelligent monitoring system based on Internet of Things and GIS
  39. Traveling wave solutions of the generalized scale-invariant analog of the KdV equation by tanh–coth method
  40. Electric vehicle wireless charging system for the foreign object detection with the inducted coil with magnetic field variation
  41. Dynamical structures of wave front to the fractional generalized equal width-Burgers model via two analytic schemes: Effects of parameters and fractionality
  42. Theoretical and numerical analysis of nonlinear Boussinesq equation under fractal fractional derivative
  43. Research on the artificial control method of the gas nuclei spectrum in the small-scale experimental pool under atmospheric pressure
  44. Mathematical analysis of the transmission dynamics of viral infection with effective control policies via fractional derivative
  45. On duality principles and related convex dual formulations suitable for local and global non-convex variational optimization
  46. Study on the breaking characteristics of glass-like brittle materials
  47. The construction and development of economic education model in universities based on the spatial Durbin model
  48. Homoclinic breather, periodic wave, lump solution, and M-shaped rational solutions for cold bosonic atoms in a zig-zag optical lattice
  49. Fractional insights into Zika virus transmission: Exploring preventive measures from a dynamical perspective
  50. Rapid Communication
  51. Influence of joint flexibility on buckling analysis of free–free beams
  52. Special Issue: Recent trends and emergence of technology in nonlinear engineering and its applications - Part II
  53. Research on optimization of crane fault predictive control system based on data mining
  54. Nonlinear computer image scene and target information extraction based on big data technology
  55. Nonlinear analysis and processing of software development data under Internet of things monitoring system
  56. Nonlinear remote monitoring system of manipulator based on network communication technology
  57. Nonlinear bridge deflection monitoring and prediction system based on network communication
  58. Cross-modal multi-label image classification modeling and recognition based on nonlinear
  59. Application of nonlinear clustering optimization algorithm in web data mining of cloud computing
  60. Optimization of information acquisition security of broadband carrier communication based on linear equation
  61. A review of tiger conservation studies using nonlinear trajectory: A telemetry data approach
  62. Multiwireless sensors for electrical measurement based on nonlinear improved data fusion algorithm
  63. Realization of optimization design of electromechanical integration PLC program system based on 3D model
  64. Research on nonlinear tracking and evaluation of sports 3D vision action
  65. Analysis of bridge vibration response for identification of bridge damage using BP neural network
  66. Numerical analysis of vibration response of elastic tube bundle of heat exchanger based on fluid structure coupling analysis
  67. Establishment of nonlinear network security situational awareness model based on random forest under the background of big data
  68. Research and implementation of non-linear management and monitoring system for classified information network
  69. Study of time-fractional delayed differential equations via new integral transform-based variation iteration technique
  70. Exhaustive study on post effect processing of 3D image based on nonlinear digital watermarking algorithm
  71. A versatile dynamic noise control framework based on computer simulation and modeling
  72. A novel hybrid ensemble convolutional neural network for face recognition by optimizing hyperparameters
  73. Numerical analysis of uneven settlement of highway subgrade based on nonlinear algorithm
  74. Experimental design and data analysis and optimization of mechanical condition diagnosis for transformer sets
  75. Special Issue: Reliable and Robust Fuzzy Logic Control System for Industry 4.0
  76. Framework for identifying network attacks through packet inspection using machine learning
  77. Convolutional neural network for UAV image processing and navigation in tree plantations based on deep learning
  78. Analysis of multimedia technology and mobile learning in English teaching in colleges and universities
  79. A deep learning-based mathematical modeling strategy for classifying musical genres in musical industry
  80. An effective framework to improve the managerial activities in global software development
  81. Simulation of three-dimensional temperature field in high-frequency welding based on nonlinear finite element method
  82. Multi-objective optimization model of transmission error of nonlinear dynamic load of double helical gears
  83. Fault diagnosis of electrical equipment based on virtual simulation technology
  84. Application of fractional-order nonlinear equations in coordinated control of multi-agent systems
  85. Research on railroad locomotive driving safety assistance technology based on electromechanical coupling analysis
  86. Risk assessment of computer network information using a proposed approach: Fuzzy hierarchical reasoning model based on scientific inversion parallel programming
  87. Special Issue: Dynamic Engineering and Control Methods for the Nonlinear Systems - Part I
  88. The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control
  89. Equilibrium stability of dynamic duopoly Cournot game under heterogeneous strategies, asymmetric information, and one-way R&D spillovers
  90. Mathematical prediction model construction of network packet loss rate and nonlinear mapping user experience under the Internet of Things
  91. Target recognition and detection system based on sensor and nonlinear machine vision fusion
  92. Risk analysis of bridge ship collision based on AIS data model and nonlinear finite element
  93. Video face target detection and tracking algorithm based on nonlinear sequence Monte Carlo filtering technique
  94. Adaptive fuzzy extended state observer for a class of nonlinear systems with output constraint
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