Ant lion optimizer: theory, literature review, and application in multi-layer perceptron neural networks
This chapter proposes an efficient hybrid training technique (ALOMLP) based on the Ant
Lion Optimizer (ALO) to be utilized in dealing with Multi-Layer Perceptrons (MLPs) neural …
Lion Optimizer (ALO) to be utilized in dealing with Multi-Layer Perceptrons (MLPs) neural …
Soft computing techniques for biomedical data analysis: open issues and challenges
In recent years, medical data analysis has become paramount in delivering accurate
diagnoses for various diseases. The plethora of medical data sources, encompassing …
diagnoses for various diseases. The plethora of medical data sources, encompassing …
Ant lion optimization: variants, hybrids, and applications
Ant Lion Optimizer (ALO) is a recent novel algorithm developed in the literature that
simulates the foraging behavior of a Ant lions. Recently, it has been applied to a huge …
simulates the foraging behavior of a Ant lions. Recently, it has been applied to a huge …
Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization
In this paper, an improved version of the Grey Wolf Optimizer (GWO) is proposed to improve
the exploration and the exploitation ability of the GWO algorithm. This improvement is …
the exploration and the exploitation ability of the GWO algorithm. This improvement is …
Improved ANFIS model for forecasting Wuhan City Air Quality and analysis COVID-19 lockdown impacts on air quality
In this study, we propose an improved version of the adaptive neuro-fuzzy inference system
(ANFIS) for forecasting the air quality index in Wuhan City, China. We propose a hybrid …
(ANFIS) for forecasting the air quality index in Wuhan City, China. We propose a hybrid …
Enhanced Harris hawks optimization with genetic operators for selection chemical descriptors and compounds activities
This paper presents modified versions of a recent swarm intelligence algorithm called Harris
hawks optimization (HHO) via incorporating genetic operators (crossover and mutation CM) …
hawks optimization (HHO) via incorporating genetic operators (crossover and mutation CM) …
A modeling approach for estimating hydrogen sulfide solubility in fifteen different imidazole-based ionic liquids
Absorption has always been an attractive process for removing hydrogen sulfide (H2S).
Posing unique properties and promising removal capacity, ionic liquids (ILs) are potential …
Posing unique properties and promising removal capacity, ionic liquids (ILs) are potential …
Multi-target QSAR modelling of chemo-genomic data analysis based on extreme learning machine
This paper presents a new Quantitative Structure-Activity Relationship (QSAR) model based
on Extreme Learning Machine (ELM) to predict the biological activity of the benchmark …
on Extreme Learning Machine (ELM) to predict the biological activity of the benchmark …
ANFIS-Based QSRR Modelling for Kovats Retention Index Prediction in Gas Chromatography
This study aims to evaluate the implementation and effectiveness of the Adaptive Neuro-
Fuzzy Inference System (ANFIS) based Quantitative Structure Retention Relationship …
Fuzzy Inference System (ANFIS) based Quantitative Structure Retention Relationship …
Exploring gabosine and chlorogentisyl alcohol derivatives from a marine-derived fungus as EcGUS inhibitors with informatic assisted approaches
Y Ge, Y Ma, M Zhao, J Wei, X Wu, Z Zhang… - European Journal of …, 2022 - Elsevier
Abstract β-Glucuronidase catalyzes the cleavage of glucuronosyl-O-bonds, whose inhibitors
reduce the level of toxic substances present in the intestine caused by anti-cancer and anti …
reduce the level of toxic substances present in the intestine caused by anti-cancer and anti …