Chest diseases diagnosis using artificial neural networks
Chronic obstructive pulmonary, pneumonia, asthma, tuberculosis, lung cancer diseases are
the most important chest diseases. These chest diseases are important health problems in …
the most important chest diseases. These chest diseases are important health problems in …
Community detection based on modularity and an improved genetic algorithm
Complex networks are widely applied in every aspect of human society, and community
detection is a research hotspot in complex networks. Many algorithms use modularity as the …
detection is a research hotspot in complex networks. Many algorithms use modularity as the …
Decision support framework for inventory management combining fuzzy multicriteria methods, genetic algorithm, and artificial neural network
GH de Paula Vidal, RGG Caiado, LF Scavarda… - Computers & Industrial …, 2022 - Elsevier
Decision support tools, within the Industry 4.0 perspective, have increasingly impacted
different operations and supply chain management (OSCM) areas, such as inventory …
different operations and supply chain management (OSCM) areas, such as inventory …
Evolving neural network using real coded genetic algorithm for daily rainfall–runoff forecasting
A Sedki, D Ouazar, E El Mazoudi - Expert systems with applications, 2009 - Elsevier
This paper investigates the effectiveness of the genetic algorithm (GA) evolved neural
network for rainfall–runoff forecasting and its application to predict the runoff in a catchment …
network for rainfall–runoff forecasting and its application to predict the runoff in a catchment …
A new hybrid artificial neural networks for rainfall–runoff process modeling
S Asadi, J Shahrabi, P Abbaszadeh, S Tabanmehr - Neurocomputing, 2013 - Elsevier
This paper proposes a hybrid intelligent model for runoff prediction. The proposed model is
a combination of data preprocessing methods, genetic algorithms and levenberg–marquardt …
a combination of data preprocessing methods, genetic algorithms and levenberg–marquardt …
Overlapping communities detection of social network based on hybrid C-means clustering algorithm
Y Lei, Y Zhou, J Shi - Sustainable Cities and Society, 2019 - Elsevier
As an important part of social computing, community detection has been attached to more
and more importance in social network analysis. Overlapping communities detection, one of …
and more importance in social network analysis. Overlapping communities detection, one of …
Knowledge and intelligent computing system in medicine
B Pandey, RB Mishra - Computers in biology and medicine, 2009 - Elsevier
Knowledge-based systems (KBS) and intelligent computing systems have been used in the
medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning …
medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning …
Soft computing in medicine
A Yardimci - Applied soft computing, 2009 - Elsevier
Soft computing (SC) is not a new term; we have gotten used to reading and hearing about it
daily. Nowadays, the term is used often in computer science and information technology. It is …
daily. Nowadays, the term is used often in computer science and information technology. It is …
Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis
Background and objectives: Pneumonia is a disease that affects the lungs, making breathing
difficult. Nowadays, pneumonia is the disease that kills the most children under the age of …
difficult. Nowadays, pneumonia is the disease that kills the most children under the age of …
Predicting hospital-acquired pneumonia among schizophrenic patients: a machine learning approach
KM Kuo, PC Talley, CH Huang, LC Cheng - BMC Medical Informatics and …, 2019 - Springer
Background Medications are frequently used for treating schizophrenia, however, anti-
psychotic drug use is known to lead to cases of pneumonia. The purpose of our study is to …
psychotic drug use is known to lead to cases of pneumonia. The purpose of our study is to …