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Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm
(Elsevier B.V., 2019)
Blind Federated Learning without initial model
(Springer Nature, 2024)
Dynamic optimization of fuzzy cognitive maps for time series forecasting
(Elsevier B.V., 2016)
Medical diagnosis of Rheumatoid Arthritis using data driven PSO–FCM with scarce datasets
(Elsevier B.V., 2017)
Alzheimer Disease Detection Techniques and Methods: A Review
Brain pathological changes linked with Alzheimer's disease (AD) can be measured with Neuroimaging. In the past few years, these measures are rapidly integrated into the signatures of Alzheimer disease (AD) with the help ...
Load disaggregation using microscopic power features and pattern recognition
(2019-01-01)
A new generation of smart meters are called cognitive meters, which are essentially based on Artificial Intelligence (AI) and load disaggregation methods for Non-Intrusive Load Monitoring (NILM). Thus, modern NILM may ...
Machine Learning and Covid-19 Data Predict Next Intercontinental Pandemic
(IEEE, 2023)
Experiences from past Covid-19 pandemic have led to explore the actions that were taken previous time to the implementation of policies in a fast and optimal manner. Because of this actions the arrival of virus to a country ...
Human Versus Computer: Who Can Make Valuable Progress in Theoretical Physics?
(IEEE, 2023)
Nowadays, there is a solid consensus about the rapid progress of artificial intelligence and its potential usage in the different functions of society. This paper presents an example about contribution in theoretical physics ...
Human Versus Computer: Who Can Make Valuable Progress in Theoretical Physics?
(IEEE, 2023)
Nowadays, there is a solid consensus about the rapid progress of artificial intelligence and its potential usage in the different functions of society. This paper presents an example about contribution in theoretical physics ...