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Federated learning: Applications, challenges and future directions
Federated learning (FL) refers to a system in which a central aggregator coordinates the
efforts of several clients to solve the issues of machine learning. This setting allows the …
efforts of several clients to solve the issues of machine learning. This setting allows the …
Applications and challenges of cloud integrated IoMT
Abstract The Internet of Medical Things (IoMT) refers to the medical devices and applications
that connect healthcare information technology (IT) systems via computer networks. This …
that connect healthcare information technology (IT) systems via computer networks. This …
A comparative analysis of image denoising problem: noise models, denoising filters and applications
Noise reduction is a perplexing undertaking for the researchers in digital image processing
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …
Improving outcome prediction for traumatic brain injury from imbalanced datasets using RUSBoosted trees on electroencephalography spectral power
Reliable prediction of traumatic brain injury (TBI) outcomes based on machine learning (ML)
that is derived from quantitative electroencephalography (EEG) features has renewed …
that is derived from quantitative electroencephalography (EEG) features has renewed …
Cybersecurity for Space Systems
Space security has become increasingly important over the past 10 years as space has
become more integrated into our daily lives. However, there is no agreed-upon definition of …
become more integrated into our daily lives. However, there is no agreed-upon definition of …
Introduction to brain–computer interface: research trends and applications
A broader review of the artificial intelligence (AI) and sensing methods used in brain–
computer interfaces (BCIs) is given in this chapter. The brain and external equipment, such …
computer interfaces (BCIs) is given in this chapter. The brain and external equipment, such …
[PDF][PDF] PEML-E: EEG eye state classification using ensembles and machine learning methods
Due to the importance of automatic identification of brain conditions, many researchers
concentrate on Epilepsy disorder to aim to the detecting of eye states and classification …
concentrate on Epilepsy disorder to aim to the detecting of eye states and classification …