Area of research
Biomedical Engineering · Modeling and Simulation
Research interest
Research interests include Artificial neural network, Nanofluid, Computer science, Materials science, Heat transfer, and Cuckoo search.
Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment
Data-driven investigation of an epidemic model under saturated incidence rate using deep neural networks
Heat transfer analysis in the engine‐based oil‐based hybrid nanofluid flow between two spinning disks: Probed by artificial neural network
AN INTELLIGENT FRAMEWORK FOR HYBRID NANOFLUID FLOW BETWEEN TWO CONCENTRIC CYLINDERS BASED ON DEEP NEURAL NETWORKS
Optimizing tomato plant and insect disease control using a fractional model and deep neural networks
Machine learning-driven analysis of heat transfer in chemically reactive fluid flow considering Soret-Dufour effects
An analysis of fractional piecewise derivative models of dengue transmission using deep neural network
Analysis of the convective heat transfer through straight fin by using the Riemann-Liouville type fractional derivative: Probed by machine learning
Influence of dissipative forces on thermal transport in hybrid Nanofluid flows: A deep neural network approach
Exploring hybrid Sisko nanofluid on a stretching sheet: an improved cuckoo search-based machine learning approach
An artificial neural network analysis of the thermal distribution of a fractional-order radial porous fin influenced by an inclined magnetic field
Analysis of Ebola virus model using intelligent computing of a new stochastic neural network
The artificial neural network approach for the transmission of malicious codes in wireless sensor networks with Caputo derivative
Giardiasis transmission dynamics: insights from fractal-fractional modeling and deep neural networks
An evolutionary-based neural network approach to investigate heat and mass transportation by using non-Fourier double-diffusion theories for Prandtl nanofluid under Hall and ion slip effects
Thermal Enhancement in the Ternary Hybrid Nanofluid (SiO2+Cu+MoS2/H2O) Symmetric Flow Past a Nonlinear Stretching Surface: A Hybrid Cuckoo Search-Based Artificial Neural Network Approach
Analysis of the Corneal Geometry of the Human Eye with an Artificial Neural Network