Adoption of federated learning for healthcare informatics: Emerging applications and future directions

VA Patel, P Bhattacharya, S Tanwar, R Gupta… - IEEE …, 2022 - ieeexplore.ieee.org
The smart healthcare system has improved the patients quality of life (QoL), where the
records are being analyzed remotely by distributed stakeholders. It requires a voluminous …

Machine learning techniques in adaptive and personalized systems for health and wellness

O Oyebode, J Fowles, D Steeves… - International Journal of …, 2023 - Taylor & Francis
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …

An optimized dense convolutional neural network model for disease recognition and classification in corn leaf

A Waheed, M Goyal, D Gupta, A Khanna… - … and Electronics in …, 2020 - Elsevier
An optimized dense convolutional neural network (CNN) architecture (DenseNet) for corn
leaf disease recognition and classification is proposed in this paper. Corn is one of the most …

Deep learning based autonomous vehicle super resolution DOA estimation for safety driving

L Wan, Y Sun, L Sun, Z Ning… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, a novel system architecture including a massive multi-input multi-output
(MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is …

One-dimensional CNN approach for ECG arrhythmia analysis in fog-cloud environments

O Cheikhrouhou, R Mahmud, R Zouari, M Ibrahim… - IEEE …, 2021 - ieeexplore.ieee.org
Cardiovascular diseases are considered the number one cause of death across the globe
which can be primarily identified by the abnormal heart rhythms of the patients. By …

DeTrAs: deep learning-based healthcare framework for IoT-based assistance of Alzheimer patients

S Sharma, RK Dudeja, GS Aujla, RS Bali… - Neural Computing and …, 2020 - Springer
Healthcare 4.0 paradigm aims at realization of data-driven and patient-centric health
systems wherein advanced sensors can be deployed to provide personalized assistance …

Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective

P Sánchez, A Bellogín - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …

Security issues in implantable medical devices: Fact or fiction?

V Hassija, V Chamola, BC Bajpai, S Zeadally - Sustainable Cities and …, 2021 - Elsevier
Smart healthcare is an integral part of smart cities. Modern medical devices are becoming
increasingly software dependent. Doctors and patients are now using their smart-phones to …

eDiaPredict: an ensemble-based framework for diabetes prediction

A Singh, A Dhillon, N Kumar, MS Hossain… - ACM Transactions on …, 2021 - dl.acm.org
Medical systems incorporate modern computational intelligence in healthcare. Machine
learning techniques are applied to predict the onset and reoccurrence of the disease …

Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks

K Dev, SA Khowaja, AS Bist, V Saini… - Neural Computing and …, 2023 - Springer
The current COVID-19 pandemic has motivated the researchers to use artificial intelligence
techniques for a potential alternative to reverse transcription-polymerase chain reaction due …