Advancing Healthcare Informatics for Empowering Privacy and Security through Federated Learning Paradigms

BSP Thummisetti, H Atluri - International Journal of Sustainable …, 2024 - ijsdcs.com
This research paper explores the transformative potential of federated learning in healthcare
informatics, focusing on its pivotal role in balancing advancements with privacy and security …

Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey

MAA Al-qaness, J Zhu, D AL-Alimi, A Dahou… - … Methods in Engineering, 2024 - Springer
In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …

Safeguarding Patient Data-Sharing: Blockchain-Enabled Federated Learning in Medical Diagnostics

R Myrzashova, SH Alsamhi, A Hawbani… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Medical healthcare centers are envisioned as a promising paradigm to handle vast data for
various disease diagnoses using artificial intelligence. Traditional Machine Learning …

The Future of Healthcare with Industry 5.0: Preliminary Interview-Based Qualitative Analysis

J Basulo-Ribeiro, L Teixeira - Future Internet, 2024 - mdpi.com
With the advent of Industry 5.0 (I5. 0), healthcare is undergoing a profound transformation,
integrating human capabilities with advanced technologies to promote a patient-centered …

Development of ecotourism in the arctic regions based on the use of modern IT-technologies

S Shvetsova - E3S Web of Conferences, 2023 - e3s-conferences.org
This article examines the impact of the use of modern IT-technologies on the development of
ecotourism in the Arctic regions. A survey was conducted among potential users of tourism …

Application of artificial intelligence to preserve the reindeer population in the arctic regions of the planet (case study of the republic of Sakha (Yakutia))

S Shvetsova - E3S Web of Conferences, 2023 - e3s-conferences.org
This article examines the approaches and prospects for the use of artificial intelligence to
preserve the reindeer population in the Arctic regions of the planet (on the example of the …

Comparative Analysis of Machine Learning Models for Real-Time Disaster Tweet Classification: Enhancing Emergency Response with Social Media Analytics

G Airlangga - Brilliance: Research of Artificial Intelligence, 2024 - jurnal.itscience.org
In the realm of disaster management, the real-time analysis of social media data, particularly
from Twitter, has become indispensable. This study investigates the efficacy of various …

Study of ways to reduce the environmental impact (noise pollution, harmful emissions) on land plots located near highways

S Shvetsova - E3S Web of Conferences, 2023 - e3s-conferences.org
This article examines ways to reduce the environmental impact (noise pollution, harmful
emissions) on land plots located near highways based on the choice by land owners of …

Federated Learning for Privacy-Preserving Healthcare Data Analysis in the Age of Cybersecurity Threats

P Sravan, S Saranya, NM Deepika… - … for Innovations in …, 2023 - ieeexplore.ieee.org
This examination explores joined picking up gathering appraisals, unequivocally United
Averaging (FedAvg), Weighted Consolidated Averaging (FedAvg-W), Bound together …

Examining medical urgent and patient precedence within the telemedicine landscape with its infrastructure and policies: A comprehensive review

GM Patel, U Sharma, SK Gupta… - Multidisciplinary Reviews, 2023 - malque.pub
Medical facilities are confronted with grave issues, including a population that is aging and a
physician shortage. In an effort to address these issues, telehealth and remote health …