Emad A. A. Ismail

Orcid: 0000-0003-0430-0847

According to our database1, Emad A. A. Ismail authored at least 12 papers between 2023 and 2024.

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

Timeline

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Bibliography

2024
Hybrid computing framework security in dynamic offloading for IoT-enabled smart home system.
PeerJ Comput. Sci., 2024

Combinative distance-based assessment method using linguistic T-spherical fuzzy aggregation operators and its application to multi-attribute group decision-making.
Eng. Appl. Artif. Intell., 2024

Prioritized Task Offloading Mechanism in Cloud-Fog Computing Using Improved Asynchronous Advantage Actor Critic Algorithm.
IEEE Access, 2024

q-Spherical Fuzzy Rough Einstein Geometric Aggregation Operator for Image Understanding and Interpretations.
IEEE Access, 2024

Applications of q-Spherical Fuzzy Rough CODAS to the Assessment of a Problem Involving Renewable Energy Site Selection.
IEEE Access, 2024

2023
Snow Avalanche Hazard Mapping Using a GIS-Based AHP Approach: A Case of Glaciers in Northern Pakistan from 2012 to 2022.
Remote. Sens., November, 2023

Comparative Numerical Analysis for the Error Estimation of the Fluid Flow over an Inclined Axisymmetric Cylinder with a Gyrotactic Microbe.
Symmetry, October, 2023

Artificial Neural Network Solution for a Fractional-Order Human Skull Model Using a Hybrid Cuckoo Search Algorithm.
Symmetry, September, 2023

Melting Heat Transfer Rheology in Bioconvection Cross Nanofluid Flow Confined by a Symmetrical Cylindrical Channel with Thermal Conductivity and Swimming Microbes.
Symmetry, September, 2023

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.
Symmetry, August, 2023

Heat and Mass Transfer Gravity Driven Fluid Flow over a Symmetrically-Vertical Plane through Neural Networks.
Symmetry, 2023

Performance Analysis of Cycle GAN in Photo to Portrait Transfiguration Using Deep Learning Optimizers.
IEEE Access, 2023


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