Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
IEEE

Continual Learning for Object Classification: Integrating AutoML for Binary Classification Tasks Within a Modular Dynamic Architecture

Abstract: For humans it is quite easy to identify a new object after learning to identify existing ones, but not for a machine. Deep neural networks (DNN) are the foundation of the current ...
decrypt

How Immigrants and Protesters Are Being Caught in ICE’s AI Dragnet

Add Decrypt as your preferred source to see more of our stories on Google. DHS and ICE are expanding the use of AI to monitor immigrants and U.S. citizens. A drone at a Los Angeles protest highlights ...
Scientific Research Publishing

Research on Fault Detection and Classification of Industrial Equipment Based on Machine Learning ()

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...
GitHub

sql-server-linux-setup-machine-learning-docker.md

This article explains how to install [SQL Server Machine Learning Services](../machine-learning/sql-server-machine-learning-services.md) on Docker. You can use ...
C&EN

QSAR Classification Modeling Using Machine Learning with a Consensus-Based Approach for Multivariate Chemical Hazard End Points

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A study by Lou et al. predicting chemical acute dermal toxicity ...