Federated learning: Applications, challenges and future directions

S Bharati, MRH Mondal, P Podder… - … Journal of Hybrid …, 2022 - journals.sagepub.com
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 …

Applications and challenges of cloud integrated IoMT

S Bharati, P Podder, MRH Mondal, PK Paul - Cognitive internet of medical …, 2021 - Springer
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 …

A comparative analysis of image denoising problem: noise models, denoising filters and applications

S Bharati, TZ Khan, P Podder, NQ Hung - Cognitive Internet of Medical …, 2021 - Springer
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 …

Improving outcome prediction for traumatic brain injury from imbalanced datasets using RUSBoosted trees on electroencephalography spectral power

NSEM Noor, H Ibrahim, MHC Lah, JM Abdullah - IEEE Access, 2021 - ieeexplore.ieee.org
Reliable prediction of traumatic brain injury (TBI) outcomes based on machine learning (ML)
that is derived from quantitative electroencephalography (EEG) features has renewed …

Cybersecurity for Space Systems

G Poornima, R Pallavi - Cyber Space and Outer Space Security, 2024 - taylorfrancis.com
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 …

Introduction to brain–computer interface: research trends and applications

SM Qaisar, A Subasi - Artificial Intelligence Applications for Brain …, 2025 - Elsevier
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 …

[PDF][PDF] PEML-E: EEG eye state classification using ensembles and machine learning methods

R Asgarnezhad, KAM Alhameedawi - Journal of Advances in …, 2021 - researchgate.net
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 …