Muhammad Junaid Ali Asif Raja

Orcid: 0009-0008-9249-9983

According to our database1, Muhammad Junaid Ali Asif Raja authored at least 12 papers in 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

On csauthors.net:

Bibliography

2025
A machine learning approach using nonlinear ARX neural networks with Bayesian regularization for epidemic malware dynamics in critical network infrastructures.
Int. J. Inf. Sec., August, 2025

Stochastic-Deterministic Modeling of Immune Responses and Tumor Evolution Under Therapeutic Influence: Intelligent Predictive Supervised Exogenous Networks.
IEEE Trans. Comput. Biol. Bioinform., 2025

Machine learning knowledge driven investigation for immunity infused fractional industrial virus transmission in SCADA systems.
J. Ind. Inf. Integr., 2025

Bayesian-regularized cascaded neural networks for fractional asymmetric carbon-thermal nutrient-plankton dynamics under global warming and climatic perturbations.
Eng. Appl. Artif. Intell., 2025

Novel intelligent exogenous neuro-architecture-driven machine learning approach for nonlinear fractional breast cancer risk system.
Commun. Nonlinear Sci. Numer. Simul., 2025

Prognostication of zooplankton-driven cholera pathoepidemiological Dynamics: Novel Bayesian-regularized deep NARX neuroarchitecture.
Comput. Biol. Medicine, 2025

Novel design of fractional cholesterol dynamics and drug concentrations model with analysis on machine predictive networks.
Comput. Biol. Medicine, 2025

Generalized fractional optimization-based explainable lightweight CNN model for malaria disease classification.
Comput. Biol. Medicine, 2025

Synergistic modeling of hemorrhagic dengue fever: Passive immunity dynamics and time-delay neural network analysis.
Comput. Biol. Chem., 2025

Supervised autoregressive eXogenous Networks with Fractional Grünwald-Letnikov finite differences: Tumor Evolution and Immune Responses under Therapeutic Influence fractals model.
Biomed. Signal Process. Control., 2025

Design of intelligent Bayesian regularized deep cascaded NARX neurostructure for predictive analysis of FitzHugh-Nagumo bioelectrical model in neuronal cell membrane.
Biomed. Signal Process. Control., 2025

Design of deep learning networks for nonlinear delay differential system for Stuxnet virus spread in an air gapped critical environment.
Appl. Soft Comput., 2025


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