Protein nanoparticles in drug delivery: animal protein, plant proteins and protein cages, albumin nanoparticles

E Kianfar - Journal of Nanobiotechnology, 2021 - Springer
In this article, we will describe the properties of albumin and its biological functions, types of
sources that can be used to produce albumin nanoparticles, methods of producing albumin …

Magnetic nanoparticles in targeted drug delivery: a review

E Kianfar - Journal of Superconductivity and Novel Magnetism, 2021 - Springer
Magnetic nanoparticles are one of the most important and widely used types of
nanomaterials, whose unique properties make them special compared to other …

A novel deep-learning model for automatic detection and classification of breast cancer using the transfer-learning technique

A Saber, M Sakr, OM Abo-Seida, A Keshk… - IEEe Access, 2021 - ieeexplore.ieee.org
Breast cancer (BC) is one of the primary causes of cancer death among women. Early
detection of BC allows patients to receive appropriate treatment, thus increasing the …

Towards augmented kernel extreme learning models for bankruptcy prediction: algorithmic behavior and comprehensive analysis

Y Zhang, R Liu, AA Heidari, X Wang, Y Chen, M Wang… - Neurocomputing, 2021 - Elsevier
Bankruptcy prediction is a crucial application in financial fields to aid in accurate decision
making for business enterprises. Many models may stagnate to low-accuracy results due to …

Boosting whale optimization with evolution strategy and Gaussian random walks: An image segmentation method

AG Hussien, AA Heidari, X Ye, G Liang, H Chen… - Engineering with …, 2023 - Springer
Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …

Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem

R Dong, H Chen, AA Heidari, H Turabieh… - Knowledge-Based …, 2021 - Elsevier
In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …

SGOA: annealing-behaved grasshopper optimizer for global tasks

C Yu, M Chen, K Cheng, X Zhao, C Ma… - Engineering with …, 2022 - Springer
An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …

Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns

S Song, P Wang, AA Heidari, M Wang, X Zhao… - Knowledge-Based …, 2021 - Elsevier
Harris hawks optimization (HHO) is a newly developed swarm-based algorithm and the most
popular optimizer in the recent year, which mimics the cooperation behavior of Harris hawks …

[HTML][HTML] Nanowires properties and applications: a review study

CY Hsu, AM Rheima, Z sabri Abbas, MU Faryad… - South African Journal of …, 2023 - Elsevier
One-dimensional nanostructures are generally cited as nanowires, nanofibers, nanotubes,
and so on. The foremost prominent feature of these materials is their electrical conductivity …

Boosting slime mould algorithm for parameter identification of photovoltaic models

Y Liu, AA Heidari, X Ye, G Liang, H Chen, C He - Energy, 2021 - Elsevier
Estimating the photovoltaic model's unknown parameters efficiently and accurately can
determine the solar cell's efficacy in converting the solar energy into electricity. For this …