Browsing Faculty Contributions by Subject "machine learning"
Now showing items 41-60 of 65
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Heart Rate as a Predictor of Challenging Behaviours among Children with Autism from Wearable Sensors in Social Robot Interactions
( MDPI , 2023 , Article)Children with autism face challenges in various skills (e.g., communication and social) and they exhibit challenging behaviours. These challenging behaviours represent a challenge to their families, therapists, and caregivers, ... -
Household Electricity Consumer Classification Using Novel Clustering Approach, Review, and Case Study
( MDPI , 2022 , Article)There is an increasing demand for electricity on a global level. Thus, the utility companies are looking for the effective implementation of demand response management (DRM). For this, utility companies should know the ... -
Identifying mortality risk factors amongst acute coronary syndrome patients admitted to Arabian Gulf hospitals using machine‐learning methods
( Wiley , 2019 , Article)Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity in the Arabian Gulf. In this study, the in‐hospital mortality amongst patients admitted with ACS to Arabian Gulf hospitals is predicted using a ... -
Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Myelodysplastic syndrome (MDS) is composed of diverse hematological malignancies caused by dysfunctional stem cells, leading to abnormal hematopoiesis and cytopenia. Approximately 30% of MDS cases progress to acute myeloid ... -
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 ... -
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
( MDPI , 2022 , Article)Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ... -
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches ... -
Long-term performance analysis and power prediction of PV technology in the State of Qatar
( Elsevier Ltd , 2017 , Article)?Solar photovoltaic (PV) energy in GCC?- the term seems convincing to many solar PV industries due to high solar exposure in GCC region. However, long-term effects such as dust accumulation and seasonal variation are major ... -
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 ... -
Machine Learning Techniques for Detecting Attackers during Quantum Key Distribution in IoT Networks with Application to Railway Scenarios
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ... -
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait
( MDPI , 2022 , Article)Diabetic neuropathy (DN) is one of the prevalent forms of neuropathy that involves alterations in biomechanical changes in the human gait. Diabetic foot ulceration (DFU) is one of the pervasive types of complications that ... -
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
( MDPI , 2021 , Article)Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ... -
Multi-layer perceptron model on chip for secure diabetic treatment
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)Diabetic patients use therapy from the insulin pump, a type of implantable medical device, for the infusion of insulin to control blood glucose level. While these devices offer many clinical benefits, there has been a ... -
Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence
( Acta Materialia Inc , 2021 , Article)Clinical performance of osseointegrated implants could be compromised by the medications taken by patients. The effect of a specific medication on osseointegration can be easily investigated using traditional systematic ... -
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 carbonate formation permeability using machine learning
( Elsevier B.V. , 2020 , Article)It is imperative to characterize the formation permeability to simulate the flow behavior at subsurface conditions. An accurate characterization at the core scale is possible when large samples are available, but often ... -
Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
( John Wiley and Sons Inc , 2023 , Article)Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are ... -
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
( MDPI , 2022 , Article)With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient ... -
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 ... -
Reinforcement Learning Based EV Charging Management Systems-A Review
( IEEE , 2021 , Article)To mitigate global warming and energy shortage, integration of renewable energy generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been introduced in recent years. The application of ...