Improving 3D Finger Traits Recognition via Generalizable Neural Rendering

Engineering, Electrical Engineering, Materials Science, Information Science, Electronic Information, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering,
3D fingerprint recognition   neural rendering   finger biometrics   3D biometric traits   multi-modal biometrics  

Summary of FingerNeRF-Based 3D Finger Biometrics Research Report Background and Research Significance With the advancement of biometric technologies, three-dimensional (3D) biometrics have become a promising research direction due to their higher accuracy, robust anti-spoofing capabilities, and resistance to variations in capture angles. Among thes...

Rethinking Contemporary Deep Learning Techniques for Error Correction in Biometric Data

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering,
biometrics   secure sketch   error correction   maximum likelihood decoding   deep learning  

Rethinking Deep Learning Techniques for Error Correction in Biometric Data Background With the rapid development of information technology, biometric data has become increasingly important in identity verification and secure storage. Traditional cryptography relies on uniformly distributed and precisely reproducible random strings. However, most re...

Learning to Detect Novel Species with SAM in the Wild

Engineering, Environmental Engineering, Ocean Engineering, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Botany,
object detection in the wild   semi-supervised learning   incremental learning   novelty detection   biodiversity   wildlife monitoring   plant monitoring  

Academic Paper Report: Open World Object Detection Framework Using SAM Background As the importance of ecosystem monitoring grows, the observation of wildlife and plant populations has become a crucial aspect of ecological conservation and agricultural development. These monitoring tasks include estimating population sizes, identifying species, stu...

MassiveFold: Unveiling AlphaFold’s Hidden Potential with Optimized and Parallelized Massive Sampling

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Biophysics,
AlphaFold   protein structures   massive sampling   GPU optimization   parallelization   antibody-antigen   protein assemblies  

Interpretation of “MassiveFold: Unveiling AlphaFold’s Hidden Potential with Optimized and Parallelized Massive Sampling” Background and Research Questions Protein structure prediction is a crucial area in life sciences, vital for understanding fundamental mechanisms in molecular biology. Recently, DeepMind’s AlphaFold achieved revolutionary progres...

The Relationship Between Cancer Risk and Epigenetic Age Acceleration After Stroke

Medicine, Environmental and Public Health, Basic Medical Sciences, Neurology, Oncology, Life Sciences, Cell Biology, Biochemistry, Immunology,
stroke   cancer risk   epigenetic clock   DNA methylation   biological age acceleration  

Study on the Association Between Long-Term Cancer Risk and Epigenetic Age in Stroke Survivors Background and Significance Cancer and stroke are leading global causes of morbidity and mortality, with their association being increasingly recognized. Statistics show that about 6% of cancer patients experience a stroke during their lifetime, while stro...