Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Hybrid Statistical Model and Rule-Based Algorithm for Legal Analysis: A Case Study on Thai Offences Against Property

Abstract: Legal analysis using advances in natural language processing (NLP) and machine learning (ML) is complex and challenging, attracting academic and industry attention. This study explores ...
SciELO

Cost-Sensitive Algorithms for Text Classification in the Legal Domain: Addressing Imbalanced Lawsuit Themes

Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...
Frontiers

Improving remote sensing scene classification with data augmentation techniques to mitigate class imbalance

1 Qingdao Huanghai University, Qingdao, China 2 College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China High-resolution remote sensing imagery is a powerful ...
Wired

Heritage Foundation Uses Bogus Stat to Push a Trans Terrorism Classification

In the wake of Charlie Kirk’s killing, the Republican policy apparatus went immediately to work. The Heritage Foundation, which published Project 2025, and its spinoff, the Oversight Project, issued a ...
Frontiers

Fine-grained image classification using the MogaNet network and a multi-level gating mechanism

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...
SciELO

Microwave Brain Lesion Detection and Localization Using Classification Algorithms

Recently, many machine learning techniques have been presented to detect brain lesions or determine brain lesion types using microwave data. However, there are limited studies analyzing the location ...
IEEE

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
Scientific Research Publishing

Dynamic Classification Using the Adaptive Competitive Algorithm for Breast Cancer Detection ()

Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) techniques have ...