Accurate risk stratification and treatment selection remain central challenges in cancer care. Rapid advances in medical imaging, digital pathology, and ...
Hybrid PCA-Based Machine Learning Models for Predictive Analytics in Urban Health Monitoring Systems
Abstract: In this paper, a hybrid PCA-based approach is proposed for predicting the respiratory imbalance in an urban health monitoring system. To do this, three models namely Random Forest, XGBoost, ...
Charles River Analytics is developing advanced predictive maintenance and logistics technologies for the United States Navy’s ...
The global big data analytics market is driven by enterprises leveraging AI-powered predictive and prescriptive analytics to ...
The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and develop.
AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...
Supporting all five areas are foundational technologies such as cloud infrastructure, cybersecurity, integration platforms, ...
Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...
The power of any data dashboard isn't in the dashboard itself--it's in the conversations that happen around it. Data literacy ...
Abstract: Autonomous vehicle platoons are particularly suitable for repetitive tasks due to their capability for efficient coordination, enhanced safety, and reduced driver fatigue. The ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback