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

“…Another major problem with the current system is that having an ever-growing amount of data requires a proportional growing number of staff members to analyze the data. …”
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Multi-valued verification of commitment systems with uncertainty and inconsistency in multi-source data settings by Ghalya Alwhishi (21393599)

“…<p>In the dynamic landscape of Internet of Things (IoT) applications within multi-source data environments, ensuring the reliability and correctness of system communications has become a paramount concern. …”

Thing Artifact-based Design of IoT Ecosystems by Zakaria Maamar (17246311)

“…Building upon the concept of data artifact commonly used in data-driven business applications design, thing artifacts engage in relations with peers to coordinate their individual behaviors and hence avoid conflicts that could result from the quality of exchanged data. …”

Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis by Md Shafiqul Islam (7010348)

“…Accurate prediction of HbA1c can greatly improve the way diabetic patients are treated and can potentially avoid related consequences. This study devises a framework to predict HbA1c levels 2-3 months in advance by using blood glucose data collected through continuous glucose monitoring (CGM) sensors and leveraging advanced feature extraction and machine learning techniques. …”

An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges by Tekli, Joe

“…Yet most methods for processing XML and semi-structured information handle mainly the syntactic properties of the data, while ignoring the semantics involved. To devise more intelligent applications, one needs to augment syntactic features with machine-readable semantic meaning. …”
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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Sumaira Hussain (19259669)

“…With the help of an intelligent technology known as the XGBoost classifier and a set of data from the data-rich website Kaggle, we have devised a comprehensive strategy to address the issues identified with the existing methods for identifying and predicting malicious websites. …”

A Novel NFT Solution for Assets Digitization and Authentication in Cyber-Physical Systems: Blueprint and Evaluation by Usman Khalil (7820876)

Genetic biomarkers and machine learning techniques for predicting diabetes: systematic review by Sulaiman Khan (12585349)

“…Most studies focused on classical machine learning models, with SNPs being the most used data type, followed by gene expression profiles, while lipidomic and metabolomic data were the least utilized. …”

Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review by Rizwan Qureshi (15279193)

“…Advances in computational hardware, such as cloud computing, graphical processing units (GPUs), Field-programmable gate arrays (FPGAs) and tensor processing units (TPUs), provide the means to utilize these data. Consequently, an array of sophisticated Artificial Intelligence (AI) techniques have been devised to extract valuable insights from the extensive datasets in the healthcare industry. …”

The Influence of Chatbots on Customer Satisfaction in the Banking Sector by Qureshi, Omer Aftab

“…The sample size for this thesis was determined to be 25, sufficient to achieve data saturation. Overall, a total of eleven major themes and sixteen sub-themes emerged from the gathered data, resulting in seven aggregate dimensions. …”
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Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC by Abbas, Nadine

“…Due to the exploding traffic demands and the diversity of novel applications requiring extensive computation and radio resources, research has been active to devise mechanisms for responding to these challenges. …”
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Circulating Non-Coding RNAs as a Signature of Autism Spectrum Disorder Symptomatology by Salam Salloum-Asfar (656363)

“…To the best of our knowledge, this study is the first to show that miRNAs, piRNAs, snoRNAs, Y-RNAs, tRNAs, and lncRNAs are stably expressed in plasma. Our data identify cir-ncRNAs that are specific to ASD. …”

Digital wellbeing tools through users lens by Mohamed Basel Almourad (17150983)

“…One strategy to help regulate digital usage and, potentially, increase digital wellbeing is to devise smartphone applications to collect data about usage and increase users' awareness of it and enable them to set limits and alert users accordingly. …”

Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology by Muhammad Shehab (16904880)

“…Our aims are twofold: 1) enhancing the data rate of a desired user while dealing with interference from another user and 2) maximizing the combined data rate. …”

Public transport versus solo travel mode choices during the COVID-19 pandemic: Self-reported evidence from a developing country by Muhammad Abdullah (3357692)

“…A binary logistic model was developed using the collected data to model the likelihood of choosing solo or public transport modes during COVID-19. …”

The Relationship between Emotional Intelligence, Job Satisfaction, and Organizational Commitment among First‐Line Nurse Managers in Qatar by Mutaz I. Othman (21186827)

“…</p><h3>Implications for Nursing Management</h3><p dir="ltr">The study provides empirical data from Qatar’s healthcare system, shedding light on FLNMs’ emotional intelligence, job satisfaction, and organizational commitment.…”

Information Technology Disaster Recovery Plan (IT DRP) Framework – A study on IT Continuity for Smart City in Abu Dhabi Smart Government by AL HASSAN, LINDA KHALED MOHAMMED

“…As per the findings from the responses of the IT personnel associated with smart city projects in Abu Dhabi Government and the analysis of data, distinct from data validation, some additional factors are discovered. …”
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Detecting Mental Stress using EEG and Deep Learning by Badr, Yara

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TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels by Muhammad Imran (282621)

“…Furthermore, a geolocalization approach is devised to geotag tweets at country, state, county, and city granularities, enabling a myriad of data analysis tasks to understand real-world issues at national and sub-national levels. …”

The role of empowerment in the professional development of middle managers. (c2016) by Adada, Manal

“…Data from a semi-structured interview with the school principal and from relevant school records and documents were cross checked with middle managers’ data to enhance reliability of findings. …”
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