[HTML][HTML] A comprehensive review on ensemble deep learning: Opportunities and challenges
A Mohammed, R Kora - Journal of King Saud University-Computer and …, 2023 - Elsevier
In machine learning, two approaches outperform traditional algorithms: ensemble learning
and deep learning. The former refers to methods that integrate multiple base models in the …
and deep learning. The former refers to methods that integrate multiple base models in the …
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …
dramatically changed the medical landscape. Medical centres have adopted AI applications …
Metaverse for healthcare: a survey on potential applications, challenges and future directions
The rapid progress in digitalization and automation have led to an accelerated growth in
healthcare, generating novel models that are creating new channels for rendering treatment …
healthcare, generating novel models that are creating new channels for rendering treatment …
Ensemble deep learning: A review
Ensemble learning combines several individual models to obtain better generalization
performance. Currently, deep learning architectures are showing better performance …
performance. Currently, deep learning architectures are showing better performance …
Blockchain for healthcare data management: opportunities, challenges, and future recommendations
Today's healthcare data management systems are facing key challenges in terms of data
transparency, traceability, immutability, audit, data provenance, flexible access, trust …
transparency, traceability, immutability, audit, data provenance, flexible access, trust …
Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends
The emergence of smart cities and sustainable development has become a globally
accepted form of urbanization. The epitome of smart city development has become possible …
accepted form of urbanization. The epitome of smart city development has become possible …
Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning
AA Nancy, D Ravindran, PMD Raj Vincent… - Electronics, 2022 - mdpi.com
The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
Multi-label active learning-based machine learning model for heart disease prediction
The rapid growth and adaptation of medical information to identify significant health trends
and help with timely preventive care have been recent hallmarks of the modern healthcare …
and help with timely preventive care have been recent hallmarks of the modern healthcare …
An overview of deep learning methods for multimodal medical data mining
Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …
success of these methods, many researchers have used deep learning algorithms in …
Traffic accident detection and condition analysis based on social networking data
Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …