A machine learning strategy for the quantitative analysis of the global warming impact on marine ecosystems

H Alhakami, M Kamal, M Sulaiman, W Alhakami, A Baz - Symmetry, 2022 - mdpi.com
It is generally observed that aquatic organisms have symmetric abilities to produce oxygen
(O 2) and fix carbon dioxide (CO 2). A simulation model with time-dependent parameters …

Numerical study of nonlinear flow and mass transfer through a channel filled with a porous medium using a hybrid heuristic paradigm

IU Rahman, M Sulaiman, FS Alshammari… - Waves in Random and …, 2023 - Taylor & Francis
The effects of mass transfer and chemical reactions on laminar viscous flow in a porous
channel with moving or stationary walls are examined in this study. The mathematical model …

A computational study of magneto-convective heat transfer over inclined surfaces with thermodiffusion

MF Khan, M Sulaiman, AN Ali, G Laouini… - Ieee …, 2023 - ieeexplore.ieee.org
In this article, the ocean energy generator system is analysed. The need for sustainable
renewable energy systems is continually growing, given the situation of the world's energy …

Analysis of MHD Falkner–Skan boundary layer flow and heat transfer due to symmetric dynamic wedge: A numerical study via the SCA-SQP-ANN technique

K Nonlaopon, MF Khan, M Sulaiman, FS Alshammari… - Symmetry, 2022 - mdpi.com
This article considers Falkner–Skan flow over a dynamic and symmetric wedge under the
influence of a magnetic field. The Hall effect on a magnetic field is negligible for small …

Specific Heat Capacity Extraction of Soybean Oil/MXene Nanofluids Using Optimized Long Short-Term Memory

MRC Qazani, N Aslfattahi, V Kulish, H Asadi… - IEEE …, 2024 - ieeexplore.ieee.org
Researchers are turning to nanofluids in PV/T hybrid systems for enhanced efficiency due to
nanoparticle dispersion, improving thermal and optical properties over conventional fluids …