[HTML][HTML] The role of Toll-like receptors and neuroinflammation in Parkinson's disease
Background Parkinson’s disease (PD) is the second most prevalent neurodegenerative
disorder, characterized by motor and non-motor symptoms, significantly affecting patients’ life. …
disorder, characterized by motor and non-motor symptoms, significantly affecting patients’ life. …
[HTML][HTML] Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted practically
every area of human life. Several machine learning (ML) approaches are employed in …
every area of human life. Several machine learning (ML) approaches are employed in …
Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various complicated
challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately …
challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately …
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …
Most of these cliché methods mimic animals' searching trends and possess a small …
INFO: An efficient optimization algorithm based on weighted mean of vectors
I Ahmadianfar, AA Heidari, S Noshadian… - Expert Systems with …, 2022 - Elsevier
This study presents the analysis and principle of an innovative optimizer named weIghted
meaN oF vectOrs (INFO) to optimize different problems. INFO is a modified weight mean …
meaN oF vectOrs (INFO) to optimize different problems. INFO is a modified weight mean …
Harris hawks optimization: Algorithm and applications
In this paper, a novel population-based, nature-inspired optimization paradigm is proposed,
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Y Yang, H Chen, AA Heidari, AH Gandomi - Expert Systems with …, 2021 - Elsevier
A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …
Despite their popularity, most of them have uncertain, immature performance, partially done …
An efficient binary salp swarm algorithm with crossover scheme for feature selection problems
Searching for the (near) optimal subset of features is a challenging problem in the process
of feature selection (FS). In the literature, Swarm Intelligence (SI) algorithms show superior …
of feature selection (FS). In the literature, Swarm Intelligence (SI) algorithms show superior …
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
The first powerful variant of the Harris hawks optimization (HHO) is proposed in this work.
HHO is a recently developed swarm-based stochastic algorithm that has previously shown …
HHO is a recently developed swarm-based stochastic algorithm that has previously shown …
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation
A Qi, D Zhao, F Yu, AA Heidari, Z Wu, Z Cai… - Computers in biology …, 2022 - Elsevier
This paper focuses on the study of Coronavirus Disease 2019 (COVID-19) X-ray image
segmentation technology. We present a new multilevel image segmentation method based on …
segmentation technology. We present a new multilevel image segmentation method based on …