Design of intelligent computing networks for nonlinear chaotic fractional Rossler system

Bukhari, Ayaz Hussain; Raja, Muhammad Asif Zahoor; Rafiq, Naila; Shoaib, Mohammed; Kiani, Adiqa Kausar; Shu, Chi‐Min

doi:10.1016/j.chaos.2022.111985

Cited by 46 publications

(10 citation statements)

References 48 publications

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“…2 . The regression-based knacks of AI-SCG-based supervised neural networks are incorporated to study the dynamics of fractional SIQ system while reference dataset for the implementation of the regressive networks is formulated using Adams numerical procedures for the solution of fractional differential equations [ 36 – 38 ]. The statics to perform the numerical results of the fractional SIQ dynamical system are 7% for validation, 82% for training and 11% for testing.…”

Section: Methodology: Proposed Ai-scg Proceduresmentioning

confidence: 99%

A computational supervised neural network procedure for the fractional SIQ mathematical model

Mukdasai

Sabir

Raja

et al. 2023

Eur. Phys. J. Spec. Top.

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The purpose of the current work is to provide the numerical solutions of the fractional mathematical system of the susceptible, infected and quarantine (SIQ) system based on the lockdown effects of the coronavirus disease. These investigations provide more accurateness by using the fractional SIQ system. The investigations based on the nonlinear, integer and mathematical form of the SIQ model together with the effects of lockdown are also presented in this work. The impact of the lockdown is classified into the susceptible/infection/quarantine categories, which is based on the system of differential models. The fractional study is provided to find the accurate as well as realistic solutions of the SIQ model using the artificial intelligence (AI) performances along with the scale conjugate gradient (SCG) design, i.e., AI-SCG. The fractional-order derivatives have been used to solve three different cases of the nonlinear SIQ differential model. The statics to perform the numerical results of the fractional SIQ dynamical system are 7% for validation, 82% for training and 11% for testing. To observe the exactness of the AI-SCG procedure, the comparison of the numerical attained performances of the results is presented with the reference Adam solutions. For the validation, authentication, aptitude, consistency and validity of the AI-SCG solver, the computing numerical results have been provided based on the error histograms, state transition measures, correlation/regression values and mean square error. Supplementary Information The online version contains supplementary material available at 10.1140/epjs/s11734-022-00738-9.

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Section: Methodology: Proposed Ai-scg Proceduresmentioning

confidence: 99%

A computational supervised neural network procedure for the fractional SIQ mathematical model

Mukdasai

Sabir

Raja

et al. 2023

Eur. Phys. J. Spec. Top.

Self Cite

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“…Moreover, a low-dimensional chaotic map also has a small key space, making it vulnerable to cyberattacks. Hua et al [23] presented an innovative framework based on exponential chaos in order to generate a secure and robust chaotic system. Similarly, Wang et al [24] proposed a refined cross-coupled map lattice, which has high entropy and a larger chaotic range and applied it to encrypt the digital images.…”

Section: Related Workmentioning

confidence: 99%

Securing High-Resolution Images From Unmanned Aerial Vehicles With DNA Encoding and Bit-Plane Extraction Method

et al. 2023

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Unmanned aerial vehicles (UAVs) are getting more popular for deployment in surveillance related operations owing to their flexibility and ability to reach hazardous areas. Moreover, the quality of digital cameras is getting better, and they can capture and store more visual information in high-resolution images. Unfortunately, due to the resource-constrained nature of UAVs, storing such large images can exhaust memory and related resources; whereas, the transmission of these images over the public link can pose several security threats. Securing these critical images during transmission from unauthorized access can be achieved through the use of efficient encryption techniques. This article proposes a novel encryption scheme incorporating both confusion and diffusion for encrypting both grey-scale and color images. In the proposed-encryption scheme, the image blocks are rearranged using a combination of random permutation, rotation, DNA encoding and zigzag pattern. Next, a bit-plane extraction method is used to obtain eight different bit-planes, including the most and least significant ones, from the scrambled image. These extracted bit-planes are then processed using confusion and diffusion techniques with a secret key, which is created using a hyper-chaotic map. The proposed method for encrypting the images taken by unmanned ariel vehicles is evaluated by examining its security level and time complexity using evaluation metrics such as correlation, entropy, energy, histogram analysis, keyspace and key sensitivity. The results and analysis demonstrated that the proposed encryption algorithm is able to effectively secure digital images. Additionally, the proposed work is also found to be superior to existing methods when compared using statistical security metrics.INDEX TERMS Unmanned aerial vehicles, chaos theory, cyberattacks, DNA encoding

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“…In future one may exploit the strength of intelligent computing [41][42][43][44][45] for solving the hybrid nanofluidic system models.…”

Section: Final Outcomesmentioning

confidence: 99%

Generalized thermal properties of hybrid NANOLIQUID composed of aluminum oxide (Al₂O₃) and silver (Ag) nanoparticles with water (H₂O) as base liquid

Parveen,

Awais,

Awan

2023

Z Angew Math Mech

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Heat transfer rate is numerically analyzed in convective flow of Al2O3‐Ag/ H2O hybrid nanoliquid through a stretching sheet by incorporating induced magnetic field. Results of entropy generation in system are evaluated as well. Considered physical factors associated with heat transfer are heat generation parameter and viscous dissipation. The system of nonlinear partial differential equations is modeled and dimensionally simplified by implementing boundary layer approximation assumption and proper similarity transformations. Adam's Bashforth method is applied to get highly accurate and stable numerical solutions. Numerical results of flow variables, entropy generation number and physical quantities are interpreted by way of graphs and bar charts to perceive the extensive significance of the problem. It is visualized that rise in numeric values of mixed convection parameter λ1 leads to enhance velocity; entropy generation number and Nusselt number while suppress temperature. High magnitude of heat generation parameter δ augments velocity and temperature but reverse behavior is observed for Nusselt number and entropy generation number. Moreover, the factor of viscous dissipation significantly modifies rate of flow and heat transfer under the effect of no‐slip condition on sheet. The present study is useful in different fields of industries, technological processes, mechanical processes, and electrical processes due to the applications of magnetic hybrid nanofluid with improved heat and mass transfer.

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Design of intelligent computing networks for nonlinear chaotic fractional Rossler system

Cited by 46 publications

References 48 publications

A computational supervised neural network procedure for the fractional SIQ mathematical model

A computational supervised neural network procedure for the fractional SIQ mathematical model

Securing High-Resolution Images From Unmanned Aerial Vehicles With DNA Encoding and Bit-Plane Extraction Method

Generalized thermal properties of hybrid NANOLIQUID composed of aluminum oxide (Al₂O₃) and silver (Ag) nanoparticles with water (H₂O) as base liquid

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Design of intelligent computing networks for nonlinear chaotic fractional Rossler system

Cited by 46 publications

References 48 publications

A computational supervised neural network procedure for the fractional SIQ mathematical model

A computational supervised neural network procedure for the fractional SIQ mathematical model

Securing High-Resolution Images From Unmanned Aerial Vehicles With DNA Encoding and Bit-Plane Extraction Method

Generalized thermal properties of hybrid NANOLIQUID composed of aluminum oxide (Al2O3) and silver (Ag) nanoparticles with water (H2O) as base liquid

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Generalized thermal properties of hybrid NANOLIQUID composed of aluminum oxide (Al₂O₃) and silver (Ag) nanoparticles with water (H₂O) as base liquid