AIMC Topic: Cloud Computing

Clear Filters Showing 171 to 180 of 202 articles

A machine learning based authentication and intrusion detection scheme for IoT users anonymity preservation in fog environment.

PloS one
Authentication is a critical challenge in fog computing security, especially as fog servers provide services to many IoT users. The conventional authentication process often requires disclosing sensitive personal information, such as usernames, email...

TWINVAX: conceptual model of a digital twin for immunisation services in primary health care.

Frontiers in public health
INTRODUCTION: This paper presents a proposal for the modelling and reference architecture of a digital twin for immunisation services in primary health care centres. The system leverages Industry 4.0 concepts and technologies, such as the Internet of...

Indigenous Data Sovereignty, Circular Systems, and Solarpunk Solutions for a Sustainable Future.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Recent advancements in Artificial Intelligence (AI) and data center infrastructure have brought the global cloud computing market to the forefront of conversations about sustainability and energy use. Current policy and infrastructure for data center...

ClinValAI: A framework for developing Cloud-based infrastructures for the External Clinical Validation of AI in Medical Imaging.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Artificial Intelligence (AI) algorithms showcase the potential to steer a paradigm shift in clinical medicine, especially medical imaging. Concerns associated with model generalizability and biases necessitate rigorous external validation of AI algor...

A Spatial Registration Method Based on Point Cloud and Deep Learning for Augmented Reality Neurosurgical Navigation.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: In order to achieve spatial registration for surgical navigation, a spatial registration method based on point cloud and deep learning is proposed.

[Digital Intelligence Drives the High-Quality Development of the Healthcare Service System: Development Mechanisms and Implementation Pathway].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
The rapid development of digital intelligence technologies is providing a powerful boost to the high-quality development of the healthcare system. Considering the current state of our healthcare services and guided by General Secretary Xi Jinping's i...

Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To address challenges in large-scale electronic health record (EHR) data exchange, we sought to develop, deploy, and test an open source, cloud-hosted app "listener" that accesses standardized data across the SMART/HL7 Bulk FHIR Access app...

Identifying and training deep learning neural networks on biomedical-related datasets.

Briefings in bioinformatics
This manuscript describes the development of a resources module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editoria...

IoT-based incubator monitoring and machine learning powered alarm predictions.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Incubators, especially the ones for babies, require continuous monitoring for anomaly detection and taking action when necessary.

Edge, Fog, and Cloud Against Disease: The Potential of High-Performance Cloud Computing for Pharma Drug Discovery.

Methods in molecular biology (Clifton, N.J.)
The high-performance computing (HPC) platform for large-scale drug discovery simulation demands significant investment in speciality hardware, maintenance, resource management, and running costs. The rapid growth in computing hardware has made it pos...