-
1
Image Contrast Soiling Loss Quantification with Multiple Dust Types
Published 2024“…This method had previously been tested with one type of dust. The objective of this study was to assess the method’s general validity across multiple dust types. …”
-
2
Analyzing Competing Risks with Progressively Type-IICensored Data in Dagum Distributions
Published 2025“…<p dir="ltr">Competing risk models are essential in survival analysis for studying systems with multiple mutually exclusive failure events. This study investigates the application of competing risk models in the presence of progressively Type-II censored data for the Dagum distribution, a flexible distribution suited for modeling data with heavy tails and varying skewness and kurtosis. …”
-
3
One-year experience of hybrid closed-loop system in children and adolescents with type 1 diabetes previously treated with multiple daily injections: drivers to successful outcomes
Published 2022“…<h2>Objective</h2> <p>To evaluate the effect of a 1-year hybrid closed-loop (HCL) system on glycemic control in children and adolescents with type 1 diabetes (T1D) previously treated with multiple daily injections (MDI). …”
-
4
Types of PMO and their roles in the UAE Oil & Gas Production Companies
Published 2014“…The outputs of the literature review were compared with the data collected through the interviews with some of the senior managers in Abu Dhabi oil and gas production companies. …”
Get full text
-
5
Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
Published 2020“…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…”
-
6
Data-Driven Decision-Making: How is data used for decision-making in public schools in Dubai?
Published 2009“…This paper seeks to clarify which multiple types of data are being used in the public schools in the Unites Arab Emirates. …”
Get full text
-
7
The Effect of Using Multiple Digital Platforms to Enhance Formative Assessment and Teacher Feedback in UAE Schools
Published 2023“…The present study utilized mixed methodology to investigate the teacher's perception of using multiple educational platforms in formative assessment, the quality of feedback, and the opportunities and challenges of using these platforms in public schools in Abu Dhabi. …”
Get full text
-
8
-
9
-
10
Advanced data-driven fault detection in gas-to-liquid plants
Published 2025“…In this paper, a novel extension of the Generalized Likelihood Ratio charts is proposed, denoted as the Maximum Multivariate GLR charts. Linear and nonlinear data-driven models, namely principal component analysis and its kernel extension and <u>neural networks</u>, are combined with different statistical charts towards the detection of multiple fault types in three distinct case studies: synthetic, Tennessee Eastman process, and Gas-to-Liquid process. …”
-
11
A Guide to stock-trading decision Making based on popular Technical Indicators
Published 2021Get full text
Get full text
Get full text
Get full text
conferenceObject -
12
-
13
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
Published 2021Get full text
doctoralThesis -
14
The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
Published 2023“…Our results show that the occurrence of the BP problem in HQNNs is contingent upon the expressibility of the underlying ansatz and the type of the adopted data encoding technique. Additionally, we observe that qubit entanglement also plays a role in exacerbating the BP problem. …”
-
15
Machine Learning in the Analysis of Social Problems: The Case of Global Human Trafficking
Published 2019“…Agglomerative hierarchical clustering using Gower's Distance was used for pattern discovery of the categorical type of data in this research, with a comparison to Fuzzy k-mode clustering. …”
Get full text
-
16
Prediction of the Backwater Level Due to Bridge Constriction in Waterways
Published 2019Get full text
doctoralThesis -
17
Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions
Published 2025“…To address this limitation, Multimodal FL (MMFL) integrates multiple data modalities, enabling a richer and more holistic understanding of data. …”
-
18
Gambling Data and Modalities of Interaction for Responsible Online Gambling: A Qualitative Study
Published 2020“…We also interviewed gamblers (<i>n</i><sub><em>g</em></sub> = 6) about their perception of the utilization of their data for aiding more conscious gambling. Directed at multiple stakeholders, including the gambling software providers, compliance and responsible gambling personnel, as well as policymakers, this paper aims to provide a basis and a reference point for empowering future responsible gambling socio-technical tools through the capture and utilization of relevant online gambling behavioural data.…”
-
19
-
20
Whole genome mRNA expression profiling revealed multiple deregulated pathways in stromal vascular fraction from erectile dysfunction patients
Published 2018“…</p><h3>Results</h3><p dir="ltr">Our data revealed multiple differentially expressed genes between the ED and control group. …”
