IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
GPS World

European PAVE-SCAN project aims to increase transport efficiency, safety

SCAN project aims to build European GNSS-based and AI-driven technologies to detect and assess roadway pavement problems.
The Business & Financial Times on MSN

Learning from the global AI race: Why we must lead on AI governance in Africa

By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act ...
Frontiers

Listening to stars: audio-inspired multimodal learning for star classification

Spectroscopic analysis is essential in modern astronomy, as spectra encode a wealth of physical information through their characteristic features, such as absorption and emission lines. These spectral ...
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 = ...
C&EN

protPheMut: An Interpretable Machine Learning Tool for Classification of Cancer and Neurodevelopmental Disorders in Human Missense Mutations

MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-Infective Medicine, Department of Bioinformatics and Computational Biology, School of ...
C&EN

Integrating Non-Targeted Mass Spectrometry and Machine Learning for the Classification of Organic and Conventionally Grown Agricultural Products: A Case Study on Tomatoes

State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China Sino-Danish Center for Education ...
IEEE

Leveraging Synthetic Data to Develop a Machine Learning Model for Voiding Flow Rate Prediction From Audio Signals

Abstract: Sound-based uroflowmetry (SU) is a non-invasive technique emerging as an alternative to traditional uroflowmetry (UF) to calculate the voiding flow rate based on the sound generated by the ...
MIT Technology Review

AI text-to-speech programs could “unlearn” how to imitate certain people

New research shows models can be directly edited to hide selected voices, even when users specifically ask for them. A technique known as “machine unlearning” could teach AI models to forget specific ...
Scientific Research Publishing

An Evaluation of Machine Learning Models for Threat Classification in IoT Devices ()

1 Center for Cyberspace Studies, Nasarawa State University, Keffi, Nigeria. 2 Department of Computer Engineering, Nile University of Nigeria, Abuja, Nigeria. 3 Department of Public and International ...
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 ...