Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing by Kashif Ahmad (12592762)

“…In existing studies, generally, data from fewer applications are analyzed. In this work, we showed that AI and natural language processing techniques provide good results for analyzing and classifying users’ sentiments’ polarity and that automatic sentiment analysis can help to analyze users’ responses more accurately and quickly. …”

Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom by Paul Musgrave (12982827)

“…Created through collaborative data collection with students, the Qatar Cars dataset maintains the pedagogical advantages of earlier datasets, improves statistical instruction by removing barriers for international audiences, and provides opportunities to discuss data-generating processes and research ethics.…”

Use of Global Sensitivity and Data-Worth Analysis for an Efficient Estimation of Soil Hydraulic Properties by Anis Younes (18140617)

“…A new strategy is developed by combining global sensitivity analysis (GSA) and Bayesian data-worth analysis (DWA) to obtain efficient data that ensure a good estimation of the soil properties. …”

Public health utility of cause of death data: applying empirical algorithms to improve data quality by Sarah Charlotte Johnson (9715415)

“…Incorrectly or vaguely assigned deaths, defined as garbage-coded deaths, mask the true cause distribution. The Global Burden of Disease (GBD) study has developed methods to create comparable, timely, cause-specific mortality estimates; an impactful data processing method is the reallocation of garbage-coded deaths to a plausible underlying cause of death. …”

String Art and Linear Iterative Systems by Habre, Samer

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Mobile dentist. (c2007) by El-Nar, Jack J.

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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

Big Data Analytics Artefact for Outcome-Based Funding Prediction in South African Public Universities by Al Khatib, Inas

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Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

“…This research aims to analyze the reliability and efficiency of data mining techniques in detecting and preventing fraud in the procurement sector in the UAE and globally. …”
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Empirical Investigation of Critical Requirements Engineering Practices for Global Software Development by Habib Ullah Khan (12024579)

“…<p>There is a need to identify requirements engineering (RE) practices that are important to global software development (GSD) project success. …”

A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) by Kozhaya, David Elias

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Dynamical Mathematical Software: Tools for Learning and for Research by Habre, Samer

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Degree-Based Network Anonymization by Halawi, Ola

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Graph Computing Systems and Partitioning Techniques: A Survey by Tewodros Alemu Ayall (19273717)

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Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 by Brittney S Sheena (9715568)

“…We estimated the global, regional, and national prevalence of <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/hepatitis-b-virus" target="_blank">hepatitis B virus</a> (HBV), as well as mortality and disability-adjusted life-years (DALYs) due to HBV, as part of the <a href="https://www.sciencedirect.com/topics/medicine-and-dentistry/global-disease-burden" target="_blank">Global Burden of Diseases</a>, Injuries, and Risk Factors Study (GBD) 2019. …”

Data collection in wireless sensor networks using UAV and compressive data gathering by Ebrahimi, Dariush

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Global memory mapping for FPGA-based reconfigurable systems by Ouaiss, Iyad

“…An ILP formulation of the global mapping process is described. This formulation is simpler and faster than the complete formulation, and it leaves the task of detailed mapping to a post-ILP tool that does not affect the optimality of the memory assignment. …”
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Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 by Christopher J L Murray (13580635)

“…This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. …”

Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 by Natalia V, Bhattacharjee

“…MethodsTo estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. …”
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Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021 by Marie, Ng

“…Spatiotemporal Gaussian process regression models were used to synthesise data, leveraging both spatial and temporal correlation in epidemiological trends, to optimise the comparability of results across time and geographies. …”
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