Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients
X Zhao, X Zhang, Z Cai, X Tian, X Wang… - … biology and chemistry, 2019 - Elsevier
Paraquat (PQ) poisoning seriously harms the health of humanity. An effective diagnostic
method for paraquat poisoned patients is a crucial concern. Nevertheless, it's difficult to …
method for paraquat poisoned patients is a crucial concern. Nevertheless, it's difficult to …
Wind turbine power curve modeling using radial basis function neural networks and tabu search
D Karamichailidou, V Kaloutsa, A Alexandridis - Renewable Energy, 2021 - Elsevier
Wind turbine power curve (WTPC) modeling is of great importance for performance
monitoring. This work proposes a new method for producing highly accurate non-parametric …
monitoring. This work proposes a new method for producing highly accurate non-parametric …
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
Q He, H Shahabi, A Shirzadi, S Li, W Chen… - Science of the total …, 2019 - Elsevier
Landslides are major hazards for human activities often causing great damage to human
lives and infrastructure. Therefore, the main aim of the present study is to evaluate and …
lives and infrastructure. Therefore, the main aim of the present study is to evaluate and …
[PDF][PDF] Radial basis function neural networks: A review
GA Montazer, D Giveki, M Karami, H Rastegar - Comput. Rev. J, 2018 - ise.ncsu.edu
Abstract Radial Basis Function neural networks (RBFNNs) represent an attractive alternative
to other neural network models. One reason is that they form a unifying link between function …
to other neural network models. One reason is that they form a unifying link between function …
[HTML][HTML] Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data
Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …
transportation. Nowadays, mobility data have become increasingly available with the …
Ensemble offshore wind turbine power curve modelling–an integration of isolation forest, fast radial basis function neural network, and metaheuristic algorithm
Offshore wind energy is drawing increased attention for the decarbonization of electricity
generation. Due to the unpredictable and complex nature of offshore aero-hydro dynamics …
generation. Due to the unpredictable and complex nature of offshore aero-hydro dynamics …
Enhancing effluent quality prediction in wastewater treatment plants through the integration of factor analysis and machine learning
J Lv, L Du, H Lin, B Wang, W Yin, Y Song, J Chen… - Bioresource …, 2024 - Elsevier
Precisely predicting the concentration of nitrogen-based pollutants from the wastewater
treatment plants (WWTPs) remains a challenging yet crucial task for optimizing operational …
treatment plants (WWTPs) remains a challenging yet crucial task for optimizing operational …
An early stage researcher's primer on systems medicine terminology
Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary
field that considers the human body as a system, composed of multiple parts and of complex …
field that considers the human body as a system, composed of multiple parts and of complex …
Skin lesion classification based on surface fractal dimensions and statistical color cluster features using an ensemble of machine learning techniques
S Moldovanu, FA Damian Michis, KC Biswas… - Cancers, 2021 - mdpi.com
Simple Summary This study aimed to investigate the efficacy of implementation of novel skin
surface fractal dimension features as an auxiliary diagnostic method for melanoma …
surface fractal dimension features as an auxiliary diagnostic method for melanoma …
Modeling of trees failure under windstorm in harvested Hyrcanian forests using machine learning techniques
A Jahani, M Saffariha - Scientific Reports, 2021 - nature.com
In managed forests, windstorm disturbances reduce the yield of timber by imposing the costs
of unscheduled clear-cutting or thinning operations. Hyrcanian forests are affected by …
of unscheduled clear-cutting or thinning operations. Hyrcanian forests are affected by …