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[HTML][HTML] A methodology for adaptive AI-based causal control: Toward an autonomous factory in solder paste printing
In recent years, there has been a remarkable shift from automated plants to intelligent
production in the industrial context, accelerated by technologies such as artificial …
production in the industrial context, accelerated by technologies such as artificial …
AI-driven Models with Effective Feature Selection Accurately Predict ICU Admission after Laparoscopic Cholecystectomy
P Lou, R Manyam - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Laparoscopic Cholecystectomy (LC) is widely recognized for its benefits over open
cholecystectomy, such as reduced hospital stay, postoperative pain, and mortality. Despite …
cholecystectomy, such as reduced hospital stay, postoperative pain, and mortality. Despite …
[HTML][HTML] Predicting outcomes using neural networks in the intensive care unit
GR Sridhar, V Yarabati, L Gumpeny - World Journal of Clinical Cases, 2025 - wjgnet.com
Patients in intensive care units (ICUs) require rapid critical decision making. Modern ICUs
are data rich, where information streams from diverse sources. Machine learning (ML) and …
are data rich, where information streams from diverse sources. Machine learning (ML) and …
Predicting Patient Movement Patterns with Cognitive Insight
Y Park, S Yang - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Efficient patient flow management is essential for improving hospital operations, reducing
delays, and enhancing the patient experience. This study presents a Transformer-based …
delays, and enhancing the patient experience. This study presents a Transformer-based …