Adoption of federated learning for healthcare informatics: Emerging applications and future directions
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 …
records are being analyzed remotely by distributed stakeholders. It requires a voluminous …
Machine learning techniques in adaptive and personalized systems for health and wellness
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 …
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
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 …
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
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 …
(MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is …
One-dimensional CNN approach for ECG arrhythmia analysis in fog-cloud environments
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 …
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
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 …
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 …
interest within the widely adopted technologies known as Recommender Systems. Among …
Security issues in implantable medical devices: Fact or fiction?
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 …
increasingly software dependent. Doctors and patients are now using their smart-phones to …
eDiaPredict: an ensemble-based framework for diabetes prediction
Medical systems incorporate modern computational intelligence in healthcare. Machine
learning techniques are applied to predict the onset and reoccurrence of the disease …
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
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 …
techniques for a potential alternative to reverse transcription-polymerase chain reaction due …