Particle swarm optimization algorithm and its applications: a systematic review

AG Gad - Archives of computational methods in engineering, 2022 - Springer
Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

Machine learning in medical applications: A review of state-of-the-art methods

M Shehab, L Abualigah, Q Shambour… - Computers in Biology …, 2022 - Elsevier
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

Major advances in particle swarm optimization: theory, analysis, and application

EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

A comprehensive survey: Whale Optimization Algorithm and its applications

FS Gharehchopogh, H Gholizadeh - Swarm and Evolutionary Computation, 2019 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …

Machine learning (ML) in medicine: Review, applications, and challenges

AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …

Artificial intelligence approaches for UAV navigation: Recent advances and future challenges

S Rezwan, W Choi - IEEE access, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) applications have increased in popularity in recent years
because of their ability to incorporate a wide variety of sensors while retaining cheap …

Hybrid meta-heuristic algorithms for optimal sizing of hybrid renewable energy system: a review of the state-of-the-art

A Bouaouda, Y Sayouti - Archives of Computational Methods in …, 2022 - Springer
The hybrid renewable energy system (HRES) has been presented as the most studied
solution for improving the sustainability of energy production infrastructures in isolated …

Machine learning methods in smart lighting toward achieving user comfort: a survey

AG Putrada, M Abdurohman, D Perdana… - IEEE access, 2022 - ieeexplore.ieee.org
Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …

COSCO: Container orchestration using co-simulation and gradient based optimization for fog computing environments

S Tuli, SR Poojara, SN Srirama… - … on Parallel and …, 2021 - ieeexplore.ieee.org
Intelligent task placement and management of tasks in large-scale fog platforms is
challenging due to the highly volatile nature of modern workload applications and sensitive …