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Now showing items 61-69 of 69
Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions
(
MDPI
, 2023 , Article)
Glucose monitoring is key to the management of diabetes mellitus to maintain optimal glucose control whilst avoiding hypoglycemia. Non-invasive continuous glucose monitoring techniques have evolved considerably to replace ...
Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
The selection and use of appropriate multi-criteria decision making (MCDM) methods for solving complex problems is one of the challenging issues faced by decision makers in the search for appropriate decisions. To address ...
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2022 , Conference Paper)
This paper presents a recommender system to promote energy consumption reduction behaviors in residential buildings. The system exploits data stream processing methods jointly with machine learning algorithms on real-time ...
AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2022 , Article)
Protein damage by glycation, oxidation and nitration is a continuous process in the physiological system caused by reactive metabolites associated with dicarbonyl stress, oxidative stress and nitrative stress, respectively. ...
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 ...
Consumers' Willingness to Invest in Smart Home Technologies Using Machine Learning: A Survey-Based Analysis in Qatar
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
This paper investigates the consumers' willingness to invest in smart home technologies and the savings they expect by using machine learning. Data is gathered using questionnaires from 2,014 consumers who participated in ...
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 ...
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 ...
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 ...