Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review
Background and objective During the recent global urgency, scientists, clinicians, and
healthcare experts around the globe keep on searching for a new technology to support in …
healthcare experts around the globe keep on searching for a new technology to support in …
A review on methods and software for fuzzy cognitive maps
Fuzzy cognitive maps (FCMs) keep growing in popularity within the scientific community.
However, despite substantial advances in the theory and applications of FCMs, there is a …
However, despite substantial advances in the theory and applications of FCMs, there is a …
[HTML][HTML] Comparative study of machine learning methods for COVID-19 transmission forecasting
Within the recent pandemic, scientists and clinicians are engaged in seeking new
technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning …
technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning …
Proteomics and machine learning approaches reveal a set of prognostic markers for COVID-19 severity with drug repurposing potential
The pestilential pathogen SARS-CoV-2 has led to a seemingly ceaseless pandemic of
COVID-19. The healthcare sector is under a tremendous burden, thus necessitating the …
COVID-19. The healthcare sector is under a tremendous burden, thus necessitating the …
A review of fuzzy cognitive maps in medicine: Taxonomy, methods, and applications
Background and Objective A high percentage of medical errors, committed because of
physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to …
physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to …
Time series forecasting using fuzzy cognitive maps: a survey
Among various soft computing approaches for time series forecasting, fuzzy cognitive maps
(FCMs) have shown remarkable results as a tool to model and analyze the dynamics of …
(FCMs) have shown remarkable results as a tool to model and analyze the dynamics of …
On the convergence of sigmoid fuzzy cognitive maps
Abstract Fuzzy Cognitive Maps (FCM) are Recurrent Neural Networks that are used for
modeling complex dynamical systems using causal relations. Similarly to other recurrent …
modeling complex dynamical systems using causal relations. Similarly to other recurrent …
A concept reduction approach for fuzzy cognitive map models in decision making and management
Policy making, strategic planning and management in general are complex decision making
tasks, where the formulation of a quantitative mathematical model may be difficult or …
tasks, where the formulation of a quantitative mathematical model may be difficult or …
Modelo para la toma de decisiones sobre el control de acceso a las prácticas de laboratorios de Ingeniería de Control II en un sistema de laboratorios remoto
O Mar Cornelio - 2019 - repositorio.uci.cu
En Cuba la formación de especialistas en automática se realiza mediante la carrera de
Ingeniería en Automática que tiene dentro de sus disciplinas fundamentales, la disciplina …
Ingeniería en Automática que tiene dentro de sus disciplinas fundamentales, la disciplina …
Fuzzy cognitive maps based models for pattern classification: Advances and challenges
Abstract Fuzzy Cognitive Maps (FCMs) have proven to be a suitable methodology for the
design of knowledge-based systems. By combining both uncertainty depiction and cognitive …
design of knowledge-based systems. By combining both uncertainty depiction and cognitive …