[HTML][HTML] A survey of explainable artificial intelligence for smart cities
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …
and envisioned the concept of smart cities using informed actions, enhanced user …
[HTML][HTML] Deep learning in multi-class lung diseases' classification on chest X-ray images
Chest X-ray radiographic (CXR) imagery enables earlier and easier lung disease diagnosis.
Therefore, in this paper, we propose a deep learning method using a transfer learning …
Therefore, in this paper, we propose a deep learning method using a transfer learning …
Toward IoRT collaborative digital twin technology enabled future surgical sector: technical innovations, opportunities and challenges
In today's world, it is anticipated that DTw and IoRT will transform the idea of digital
healthcare and advancement of it what was previously unknown. DTw is (physical or virtual) …
healthcare and advancement of it what was previously unknown. DTw is (physical or virtual) …
Secure IoT Healthcare Architecture with Deep Learning‐Based Access Control System
K Thilagam, A Beno, MV Lakshmi… - Journal of …, 2022 - Wiley Online Library
The existing healthcare system based on traditional management involves the storage and
processing of large quantities of medical data. The incorporation of the Internet of Things …
processing of large quantities of medical data. The incorporation of the Internet of Things …
Adaptive resource optimized edge federated learning in real-time image sensing classifications
With the exponential growth of the Internet of things (IoT) in remote sensing image
applications, network resource orchestration and data privacy are significant aspects to …
applications, network resource orchestration and data privacy are significant aspects to …
Privacy-preserving federated learning of remote sensing image classification with dishonest majority
J Zhu, J Wu, AK Bashir, Q Pan… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
The classification of remote sensing images can give valuable data for various practical
applications for smart cities, including urban planning, construction, and water resource …
applications for smart cities, including urban planning, construction, and water resource …
[HTML][HTML] Prediction of in-hospital cardiac arrest using shallow and deep learning
Sudden cardiac arrest can leave serious brain damage or lead to death, so it is very
important to predict before a cardiac arrest occurs. However, early warning score systems …
important to predict before a cardiac arrest occurs. However, early warning score systems …
[HTML][HTML] Integration of data science with the intelligent IoT (IIoT): current challenges and future perspectives
Abstract The Intelligent Internet of Things (IIoT) involves real-world things that communicate
or interact with each other through networking technologies by collecting data from these …
or interact with each other through networking technologies by collecting data from these …
Multi-Context Mining-Based Graph Neural Network for Predicting Emerging Health Risks
JW Baek, K Chung - IEEE Access, 2023 - ieeexplore.ieee.org
Patients with similar diseases are able to have similar treatments, care, symptoms, and
causes. Based on these relations, it is possible to predict latent risks. Therefore, this study …
causes. Based on these relations, it is possible to predict latent risks. Therefore, this study …
[HTML][HTML] Swin transformer-based object detection model using explainable meta-learning mining
JW Baek, K Chung - Applied Sciences, 2023 - mdpi.com
In order to minimize damage in the event of a fire, the ignition point must be detected and
dealt with before the fire spreads. However, the method of detecting fire by heat or fire is …
dealt with before the fire spreads. However, the method of detecting fire by heat or fire is …