Devdiscourse

Fast and Accurate Water Leak Detection in Distribution Networks Using Deep Anomaly Models

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
eLife

Continuous flashing suppression of V1 responses and the perceptual consequences revealed via two-photon calcium imaging and transformer modeling

Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...
IEEE

Learning the Optimal Discriminant SVM With Feature Extraction

Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...
The New York Times

A Brain-Dead Woman Is Being Kept on Machines to Gestate a Fetus. It Was Inevitable.

Ms. Mutcherson is a professor at Rutgers Law School. Right now in an Atlanta hospital room lies a 30-year-old nurse and mother, Adriana Smith. Ms. Smith, who is brain-dead, has been connected to life ...
AlphaGalileo

How to accurately identify hard-to-detect foreign fibers in long-staple cotton?

Xinjiang long-staple cotton is widely used in the production of high-end textiles due to its excellent quality. However, ...
Scientific Research Publishing

Noria, H. and Aniya, A. (2011) Application of Support Vector Machines (SVM) for Handwritten Digit Recognition.

ABSTRACT: Among all the plagues threatening cocoa cultivation in general, and particularly in West Africa, the swollen shoot viral disease is currently the most dangerous. The greatest challenge in ...
IEEE

One-Class SVM Probabilistic Outputs

Abstract: One-class support vector machine (SVM) is an extension of SVM to handle unlabeled data. As a mature technique for outlier detection, one-class SVM has been widely used in many applications.