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Now showing items 31-40 of 73
Optimizing Clinical Workflow Using Precision Medicine and Advanced Data Analytics
(
MDPI
, 2023 , Article)
Precision medicine—of which precision prescribing is a core component—is becoming a new frontier in today’s healthcare. Both artificial intelligence (AI) and machine learning (ML) have the potential to enhance our understanding ...
ChatGPT-A double-edged sword for healthcare education? Implications for assessments of dental students
(
Wiley
, 2023 , Article)
Introduction: Open-source generative artificial intelligence (AI) applications are fast-transforming access to information and allow students to prepare assignments and offer quite accurate responses to a wide range of ...
Efficient Pandemic Infection Detection Using Wearable Sensors and Machine Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
More than three years into the coronavirus disease 2019 (COVID-19) pandemic, it can be noted that the measures put in place for societies to manage the spread of this disease could have been better. For example, contact ...
Positive sentiments as coping mechanisms and path to resilience: the case of Qatar blockade
(
Taylor & Francis
, 2020 , Article)
Existing research on coping accentuates the role of positive emotions as defensive mechanisms to cope with stressful situations and the ensuing negative emotions. The same literature justifies the long-term effects of ...
PREDICTING ROAD ROUGHNESS PROFILE USING DYNAMIC VEHICLE ACCELERATIONS AND ARTIFICIAL NEURAL NETWORKS
(
Society of Acoustics
, 2022 , Conference Paper)
Road roughness can cause ride discomfort and contribute to the emission of ground-borne noise and vibration. A robust monitoring regime of road roughness is essential for the efficient maintenance of a country's road ...
Drones for Sheep Livestock Monitoring
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Nowadays, Unmanned Aerial Vehicles (UAV) have been included in many more applications such as package delivery, traffic monitoring, etc; and one of its potential applications is agriculture. This work demonstrates the ...
A Malware Detection Method for Health Sensor Data Based on Machine Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Traditional signature-based malware detection approaches are sensitive to small changes in the malware code. Currently, most malware programs are adapted from existing programs. Hence, they share some common patterns but ...
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 ...
SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION
(
IEEE Computer Society
, 2022 , Conference Paper)
The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ...
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 ...