Results 31 to 40 of about 4,684 (203)

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

The International Consortium for Arthrogryposis: A Collaborative Framework for Early Detection, Care, Research, and Education

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT Arthrogryposis multiplex congenita (AMC) is a group of rare congenital conditions, characterized by multiple joint contractures but may involve any body system including central nervous system. AMC is etiologically heterogeneous, with over 400 genetic and many non‐genetic causes implicated in its prenatal development.
Shahrzad Nematollahi, Noa Bouzaglo, Victoria Castillo Sanchez, Johanna I. P. de‐Vries, Klaus Dieterich, Alicja Fafara, Isabel Filges, Philip Giampietro, Göknur Haliloğlu, Judith Hall, Coleman Hilton, Remco Jansen, Valentina Maestri, Carolina Navalon, Daniel Natera de Benito, Tony Pan, Ani Samargian, Bonita Sawatzky, Harold van Bosse, Paul A. Trainor, Noémi Dahan‐Oliel   +20 more
wiley   +1 more source

Federated Learning and Zero-Trust Architecture for Privacy Preservation and Collaborative Threat Intelligence

Journal of Computer Networks and Communications
Collaborative cyber threat intelligence systems require secure information sharing across distributed organizations while preserving data privacy and preventing unauthorized access.
Alireza Chamkoori, AbdolRasool Ghasemi
doaj   +1 more source

Survey on federated recommendation systems

大数据, 2022
In the federated learning (FL) paradigm, the original data are stored in independent clients while masked data are sent to a central server to be aggregated, which proposes a novel design approach to numerous domains.Given the wide application of ...
Zhitao ZHU, Shijing SI, Jianzong WANG, Jing XIAO   +3 more
doaj  

A Semi-Federated Active Learning Framework for Unlabeled Online Network Data

Mathematics, 2023
Federated Learning (FL) is a newly emerged federated optimization technique for distributed data in a federated network. The participants in FL that train the model locally are classified into client nodes.
Yuwen Zhou, Yuhan Hu, Jing Sun, Rui He, Wenjie Kang   +4 more
doaj   +1 more source

The Use of Renewable Energy in Prominent City Buildings: A Diffusion Study on Top European Football Organizations

Business Strategy and the Environment, EarlyView.
ABSTRACT The present study applied the diffusion of innovation theory to investigate the rate of diffusion of renewable energy sources used by Europe's top professional football stadiums and the relationship with carbon neutrality. A discrete diffusion model estimated the diffusion of renewable energy to saturation, and a multivariate logistic ...
Chad S. Seifried, Liz Wanless, Timothy Kellison   +2 more
wiley   +1 more source

Development of a machine translation system using federated learning architecture for low resource Indian languages

Discover Artificial Intelligence
This paper presents a work on federated learning (FL) based machine translation considering three different language pairs i.e., English to Hindi, English to Assamese and English to Bodo. FL is the process of training individual models on its own dataset
Parvez Aziz Boruah, Hiren Kumar Deva Sarma, Shikhar Kumar Sarma   +2 more
doaj   +1 more source

Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment

CoRR, 2023
12 pages, 7 ...
Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh   +2 more
openaire   +2 more sources

Innovation in the Face of Necessity: A Mixed‐Method Study of Student's Experience From an Anatomy Education Program Focused on a Near‐Peer Tutoring Module

Clinical Anatomy, EarlyView.
ABSTRACT Following institutional changes that reduced access to cadaveric dissection, Paris‐Saclay University developed a two‐year elective anatomy pathway serving as a longitudinal progression toward near‐peer tutoring (NPT). Designed as a complement to the core curriculum, the program preserves engagement with human dissection while promoting ...
Maud Creze, Thomas Bessede, Florian Petit Lemaire, Olga Avilova, Fabrice Duparc, Sanjib Kumar Ghosh   +5 more
wiley   +1 more source

Exploring Homomorphic Encryption and Differential Privacy Techniques towards Secure Federated Learning Paradigm

Future Internet, 2023
The trend of the next generation of the internet has already been scrutinized by top analytics enterprises. According to Gartner investigations, it is predicted that, by 2024, 75% of the global population will have their personal data covered under ...
Rezak Aziz, Soumya Banerjee, Samia Bouzefrane, Thinh Le Vinh   +3 more
doaj   +1 more source