Survival Prediction of Patients after Heart Attack and Breast Cancer Surgery with a Hybrid Model Built with Particle Swarm Optimization, Stacked AutoEncoders, and …
The prediction of patient survival is crucial for guiding the treatment process in healthcare.
Healthcare professionals rely on analyzing patients' clinical characteristics and findings to …
Healthcare professionals rely on analyzing patients' clinical characteristics and findings to …
Practical Machine Learning for Streaming Data
Machine Learning for Data Streams has been an important area of research since the late
1990s, and its use in industry has grown significantly over the last few years. However, there …
1990s, and its use in industry has grown significantly over the last few years. However, there …
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
Real-world tabular learning production scenarios typically involve evolving data streams,
where data arrives continuously and its distribution may change over time. In such a setting …
where data arrives continuously and its distribution may change over time. In such a setting …
Prediction of shear wall residential beam height based on machine learning
D Wang, L Chen - International Journal of Advanced Science and …, 2025 - ijasca.org
The beam height is an important design parameter that influences structural properties such
as load-bearing capacity and stability of beams. In the early stages of structural design, the …
as load-bearing capacity and stability of beams. In the early stages of structural design, the …