Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …
protection, economic benefits, and clean energy generation for future commercial …
Marine predators algorithm: A review
Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
Energy digitalization: Main categories, applications, merits, and barriers
Increased consumption of fossil fuels has contributed to a rise in abnormal weather
conditions. Utilizing renewable energy sources is one of the most effective methods for …
conditions. Utilizing renewable energy sources is one of the most effective methods for …
Modified honey badger algorithm based global MPPT for triple-junction solar photovoltaic system under partial shading condition and global optimization
In the recent era, Metaheuristic Algorithms (MHs) are developed to tackle many and different
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
optimization problems. The merit of the MHs is not only its simplicity to understand but also …
Artificial neural network based modelling and optimization of microalgae microbial fuel cell
Simultaneous wastewater treatment and energy harvesting is attractive topic these days. A
microbial fuel cell is an electrochemical device that can be used effectively for this purpose …
microbial fuel cell is an electrochemical device that can be used effectively for this purpose …
[HTML][HTML] Battery electric vehicles: Progress, power electronic converters, strength (S), weakness (W), opportunity (O), and threats (T)
The rely on internal combustion engines is gradually decreased with the recent evolution of
electric vehicles (EVs) in the automotive industry. Electric motors are replacing the energy …
electric vehicles (EVs) in the automotive industry. Electric motors are replacing the energy …
Metaheuristic-based algorithms for optimizing fractional-order controllers—a recent, systematic, and comprehensive review
Metaheuristic optimization algorithms (MHA) play a significant role in obtaining the best
(optimal) values of the system's parameters to improve its performance. This role is …
(optimal) values of the system's parameters to improve its performance. This role is …
Generalized type-2 fuzzy parameter adaptation in the marine predator algorithm for fuzzy controller parameterization in mobile robots
This article is oriented to the application of generalized type-2 fuzzy systems in the dynamic
adjustment of the parameters of a recent metaheuristic based on nature that follows the rules …
adjustment of the parameters of a recent metaheuristic based on nature that follows the rules …
Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning
B Sun, J Bai, X Chu, S Sun, Y Li, H Li - Applied Soft Computing, 2022 - Elsevier
Prediction methods have become a hot topic in intelligent decision making. Most of the
existing prediction methods focus on the prediction accuracy and stability. As a second …
existing prediction methods focus on the prediction accuracy and stability. As a second …
[HTML][HTML] Marine predators algorithm: A comprehensive review
S Mugemanyi, Z Qu, FX Rugema, Y Dong… - Machine Learning with …, 2023 - Elsevier
Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …