Chromatography Online

Real-Time Pork Breed and Boar Taint Classification Using REIMS

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
Chromatography Online

Optimizing HSSE-GC-MS and Machine Learning for Forensic Gender Classification from Human Scent

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
IEEE

Implementation of SVM-Based Low Power EEG Signal Classification Chip

Abstract: EEG-based classifiers are being used in a growing number of applications, including assisting cognitive function and medical diagnosis. In this brief, a low power EEG signal detection chip ...
Scientific Research Publishing

Ballico, E., Catanese, F. and Ciliberto, C. (1992) Trento Examples. In: Ballico, E., Catanese, F. and Ciliberto, C., Eds., Classification of Irregular Varieties, Springer, 134-139.

ABSTRACT: The Hodge conjecture states that the Hodge group of Hodge classes is equal to the algebraic group generated by algebraic subvarieties on a Hodge manifold. To prove the conjecture, we ...
Arizona Daily Sun

London Zoo: To name and classify animals is to understand their evolution

When considering the scientists who influenced our understanding of evolution, it’s natural to think of Charles Darwin, Gregor Mendel, Rosalind Franklin, W.D. Hamilton, Barbara McClintock, and Richard ...
Scientific Research Publishing

Research on Vehicle Tracking Method Based on YOLOv8 and Adaptive Kalman Filtering: Integrating SVM Dynamic Selection and Error Feedback Mechanism ()

1 School of Computer Science, Sichuan University Jinjiang College, Meishan, China. 2 School of Automotive and Transportation, Xihua University, Yibin, China. Vehicle tracking plays a crucial role in ...
IEEE

Limes-SVM: A Robust Classification Approach Bridging Soft-Margin and Hard-Margin SVMS

Abstract: We propose an outlier-robust binary-classification method called LiMES-SVM, which is based on the linearly-involved Moreau-enhanced-over-subspace (LiMES) model (Yukawa et al., 2023).