Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...
Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
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Adaptive motion system helps robots achieve human-like dexterity with minimal data
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Abstract: Bone fracture can be defined as the complete or partial disruption of the integrity of bone tissue. Early and accurate diagnosis of fractures plays a decisive role in the effectiveness of ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
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