Machine learning based classification of presence utilizing ...

Machine learning based classification of presence utilizing ... - Nature

This research focuses on developing a robust model, via machine learning, to detect different levels of presence in VR using multimodal neurological and ...

In Virtual Reality (VR), a higher level of presence positively influences the experience and engagement of a user.

(PDF) Machine learning based classification of presence utilizing ...

A number of multi-class classifiers were evaluated within a three-class classification problem, using a One-vs-Rest approach, including Support ...

Machine Learning-Based Classification for Mapping CO2 Presence ...

Machine Learning-Based Classification for Mapping CO2 Presence using Seismic. Data. M Farid B M Amin 1, Dr. Satyabrata Nayak Parsuram 1, Debjyoti Das 2 ...

Top 9 applications of classification in machine learning based on ...

This is because deep learning algorithms are able to extract complex patterns from data, which is essential for these tasks. let's break down ...

Machine learning-based classification using ...

Though the application of machine learning to EEG signals in psychiatry has increased, an improvement in its classification performance is still ...

Machine learning based classification of presence utilizing ... - OUCI

Machine learning based classification of presence utilizing psychophysiological signals in immersive virtual environments. https://doi.org/10.1038/s41598-024 ...

Role of Machine Learning (ML)-Based Classification Using ... - NCBI

The aim of the present study was to investigate the role of machine learning (ML)-based classification using 18F-FDG PET parameters in ...

Dr. Arindam Dey on LinkedIn: Machine learning based classification ...

Machine learning based classification of presence utilizing psychophysiological signals in immersive virtual environments - Scientific Reports.

Human activity classification using deep learning based on 3D ...

The classification stage uses Convolutional Neural Network (CNN) deep learning to data input, CNN, and semantic labels. This paper proposes a ...

A machine learning-based classification model to support university ...

The four ML algorithms that compose the final prediction algorithm were trained and tested multiple times, by using different setups, in order ...

A Machine Learning Based Classification Method for Customer ...

In this paper, we address the aforementioned deficiency using a novel classification approach, which was developed based on logistic regression and tested with ...

Machine learning based classification of vector field configurations

We report that it is possible to automate this process using an unsupervised machine learning algorithm, greatly reducing the human effort.

Using Machine Learning Classification Methods to Detect the ...

Using machine learning classification methods to detect the presence of heart disease. ... classifying a patient, based on the groups of ...

Machine learning-based classification of viewing behavior using a ...

We found that, by extracting a wide range of oculomotor features, we were able to implement robust classifier models for decoding both cognitive state and task ...

[PDF] Machine Learning-Based Drone Detection and Classification

A comprehensive review of current literature on drone detection and classification using machine learning with different modalities demonstrates that ...

Customer Analysis Using Machine Learning-Based Classification ...

Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time.

Machine Learning Based Classification of Microsatellite Variation

In this study, we developed a new combined approach of data analysis using microsatellite marker data from our previous studies of olive populations using ...

How to use machine learning to put users into classifications base ...

1. If you don't know on which criteras (data features) to classify your users, the machine can do it for you with what we call a clustering ...

Machine-Learning-based User Behavior Classification for Improving ...

employees can be identified using behavioral analysis of each user within an organization, using a range of qualitative and quantitative data. Multiple scales ...