Machine learning-and statistical-based voice analysis of Parkinson's disease patients: A survey

F Amato, G Saggio, V Cesarini, G Olmo… - Expert Systems with …, 2023 - Elsevier
The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …

Detection of speech related disorders by pre-trained embedding models extracted biomarkers

AZ Jenei, G Kiss, D Sztahó - International Conference on Speech and …, 2022 - Springer
Several research studies are conducted to support the diagnosis of certain disorders.
Depression, Parkinson's disease and dysphonia are such disorders which can manifest in …

A Fast Online Classification Method of Solid Wood Floors Based on Stochastic Sampling and Machine Learning

T Zhu, K Ding, Z Li, X Zhan, R Du, C Ni - Electronics, 2021 - mdpi.com
Solid wood floors are widely used as an interior decoration material, and the color of solid
wood surfaces plays a decisive role in the final decoration effect. Therefore, the color …

Using modern hardware and software solutions for mass casualty incident management

N Ádám, D Vaľ'Ko… - 2023 IEEE 27th …, 2023 - ieeexplore.ieee.org
This research paper examines the use of technology in managing mass casualty incidents.
This work assesses the current state of technical advancements, such software inventions …

Customizing Context: Discovering the Optimal Integration of Context Data to Elevate ML-Driven Automated Support Ticket Classification

S Fuchs, N Wiehl, H Wittges, H Krcmar - 2025 - scholarspace.manoa.hawaii.edu
Abstract Context-aware Machine Learning (ML) is a well-established subfield of ML
research. Here, the idea is to consider the context of an ML problem to enhance model …

[PDF][PDF] Recommendation Algorithm Integrating CNN and Attention System in Data Extraction.

Y Li, F Yin, X Hui - Computers, Materials & Continua, 2023 - cdn.techscience.cn
With the rapid development of the Internet globally since the 21st century, the amount of data
information has increased exponentially. Data helps improve people's livelihood and …

[PDF][PDF] Voice as the reservoir of valuable clinical information: a diagnosis and monitoring support for speech-affecting diseases

F Amato - 2024 - tesidottorato.depositolegale.it
In the contemporary healthcare landscape, Artificial Intelligence emerges as a revolutionary
paradigm with unprecedented potential to transform clinical practice. Vocal biomarkers …

[PDF][PDF] Image-based Lesion Classification using Deep Neural Networks.

Á Hermann, Z Vámossy - IMPROVE, 2022 - scitepress.org
This research explores the topic of moles in cancer using a machine learning approach, with
the aim of designing and implementing a system that can determine whether a mole shows …

Exploring the Feasibility of the Meta-Analysis of Randomized Controlled Trials on Artificial Intelligence Chatbots for Use in Healthcare Based on a Published …

JT Czere, M Péntek - 2022 IEEE 20th Jubilee International …, 2022 - ieeexplore.ieee.org
Usage of artificial intelligence (AI) based chatbot systems has been increasing not only in
many industrial fields but also in the health care system. The effectiveness of AI chatbot …

Scalar attributes and time series combining patterns for multivariate time series classification

G Fekete, HA Molnár - 2022 IEEE 22nd International …, 2022 - ieeexplore.ieee.org
Scalar attributes and time series combining patterns for multivariate time series classification
Page 1 Scalar attributes and time series combining patterns for multivariate time series …