Mirage News

New AI Technique Automates Crystal Screening

EMBL Grenoble's Marquez Team has developed an AI-based training method that automates crystal screening and identification ...
Business Wire

FDA Grants De Novo Classification to neuropacs™, a First-in-Class AI-Based MRI Diagnostic Aid for Parkinsonian Syndromes

GAINESVILLE, Fla.--(BUSINESS WIRE)--Neuropacs™ Corp., an innovator in AI-enabled neurological imaging, today announced that the U.S. Food and Drug Administration has granted De Novo classification to ...
IEEE

Improved Machine Learning for Multiclass Fault Classification in Industrial Processes

Abstract: Multiclass fault classification in complex processes is challenging due to many classes, nonlinear dynamics, overlapping fault signatures, and expanding fault taxonomies. Traditional machine ...
Frontiers

Disease classification via interpretable machine learning based on multi-center routine coagulation test

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...
Scientific Research Publishing

Ullah, S., Javed, A., Aljasem, M. and Saudagar, A.K.J. (2025) Eff-ReLU-Net: A Deep Learning Framework for Multiclass Wound Classification. BMC Medical Imaging, 25, Article No. 257.

ABSTRACT: The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in ...
IEEE

Analysis Classification Imbalanced Data Predection Multiclass in Machine Learning: Oversampling with SMOTE and ADASYN

Imbalanced datasets are prevalent in various machine learning applications, especially in financial credit prediction data, where most of the examples represent financial credit. This research ...
GitHub

EEG-Based Multiclass Attention Classification: Decoding Brain Signals with Quantum Machine Learning

Project aims to develop a quantum machine learning framework for classifying different attention states from EEG brain signals. Using quantum computing, we may be able to understand complex ...