Search
Now showing items 21-30 of 51
QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds
(
MDPI
, 2022 , Article)
Problem-Since the outbreak of the COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a significant number of COVID-19 patients display no physical ...
Emotional Stability Detection Using Convolutional Neural Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Emotion recognition is the process of identifying human emotions. It is made possible by processing various modalities including facial expressions, speech signals, biometric signals, etc. Facial Emotion Recognition (FER) ...
Application of Machine Learning Classification Algorithms for Two-Phase Gas-Liquid Flow Regime Identification
(
Society of Petroleum Engineers
, 2021 , Conference Paper)
This research aims to identify the best machine learning (ML) classification techniques for classifying the flow regimes in vertical gas-liquid two-phase flow. Two-phase flow regime identification is crucial for many ...
Evaluation of Loss Functions for Segmentation of Corneal Nerves
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Corneal confocal microscopy (CCM) has been advocated as a non-invasive technique for objective diagnosis of very early neuropathy in patients by scanning the corneal subbasal nerve plexus. The obtained images provide a ...
A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects
(
JMIR Publications
, 2022 , Article Review)
Background: Machine learning (ML) and deep learning (DL) methods have recently garnered a great deal of attention in the field of cancer research by making a noticeable contribution to the growth of predictive medicine and ...
Artificial Intelligence and Ethics in Dentistry: A Scoping Review
(
SAGE Publications Inc.
, 2021 , Article)
Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of clinical dental practice. However, this revolutionary technological field raises various complex ethical challenges. The ...
BEMD-3DCNN-based method for COVID-19 detection
(
Elsevier Ltd
, 2022 , Article)
The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...
Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Vehicular Ad hoc Network (VANET) is an enabling technology to provide a variety of convenient services in intelligent transportation systems, and yet vulnerable to various intrusion attacks. Intrusion detection systems ...
UAV-based Semi-Autonomous Data Acquisition and Classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ...
Detection and severity classification of COVID-19 in CT images using deep learning
(
MDPI
, 2021 , Article)
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ...