WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

WORK Medical Grants East China Exclusive Distribution Rights for AI-Automated Blood Cell Morphology Analyzer, Sets RMB10 Million Sales Target for 2026

Pursuant to the Agreement, Hunan Saitumofei has granted Shanghai Benke exclusive distribution rights for the Analyzer in East China, covering Jiangsu Province, Shanghai Municipality, and Zhejiang ...
GitHub

Heart-Disease-Predictor---Group16

Here we attempt to build a classification model to predict whether an individual is at risk of a heart disease. The dataset contains 1000 unique examples and 14 features containing information on the ...
Scientific Research Publishing

Huang, X.L., Shi, L. and Suykens, J.A.K. (2014) Support Vector Machine Classifier with Pinball Loss. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 984-997.

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
Scientific Research Publishing

The SVM Classifier with Quartic Truncated Pinball Loss ()

In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data containing ...
ascopubs.org

Impact of Tumor Location on Predicting Early-Stage Breast Cancer Patient Survivability Using Explainable Machine Learning Models

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...
IEEE

Granular-Ball Computing-Based Fuzzy Twin Support Vector Machine for Pattern Classification

Abstract: The twin support vector machine (TWSVM) classifier and its fuzzy variant fuzzy twin support vector machine (FTSVM) have received considerable attention due to their low computational ...