ScienceAlert on MSN
Powerful Particle Detection Could Mean We've Already Found an Exploding Black Hole
A tiny particle that smashed into Earth with a record-shattering energy of 220 petaelectronvolts could be the last scream of ...
Electromagnetic Spectrum (EMS) operations in contested environments require battlefield assumptions based on mission dependent factors and complex ...
Population monitoring is an essential component of endangered species recovery programs. The federally endangered Diamond Darter Crystallaria cincotta is in nee of an effective monitoring design to ...
The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for the diversity and unknowns of industrial defects. On the technical ...
A University of Plymouth team developed a deep-learning model that classified autism with up to 98% accuracy using fMRI data.
Donated by: Steel donated by Steel Dynamics Inc., Structural and Rail Division. Galvanization Donated by AZZ Glavanizing, Inc. Bolts were donated by Nucor Fastener Division Year Built: 2014 Structure ...
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer ...
News-Medical.Net on MSN
Deep learning tool improves accuracy of lung nodule malignancy detection
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results.
The core technology of this patent is its unique edge enhancement method. By performing edge perception on AIGC images, edge maps are obtained, which are then used to enhance edge artifacts in the ...
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