A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method by Shahid Rahman (16904613)

“…<p>Communication has become a lot easier in this era of technology, development of high-speed computer networks, and the inexpensive uses of Internet. Therefore, data transmission has become vulnerable to and unsafe from different external attacks. …”

Exploring the Significance of Publication-Age-Based Parameters for Evaluating Researcher Impact by Ghulam Mustafa (458105)

Predicting gasoline prices using Michigan survey data by Baghestani, Hamid

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Predicting Mobile Game Success Using Data Analytics by ALOMARI, KHALED MOHAMMAD

“…This study addresses these challenges through data driven research of the mobile gaming application market, mobile gaming application features, user acquisition and retention trends, and monetization strategies using the CRISP-DM model for data mining in order to prove a successful method for predictions of mobile game application success. …”
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Improvement of Dialysis Dosing Using Big Data Analytics by Mumtaz, Syeda Leena

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Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Fawaz Kserawi (16904859)

“…A significant body of work in the literature employs differential privacy methods with constraining predefined parameters to achieve the optimal trade-off between privacy and utility of the data. …”

Identifying and Assessing the Significance of Digital Twin Enablers in the Construction Industry by Isbaih, Sara Samir

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Indexing Arabic texts using association rule data mining by Haraty, Ramzi A.

“…The auto-indexing method extracts new relevant words by using data mining rules, which has not been investigated before. …”
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Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

“…The method used in this research is a classification of models and algorithms used in data mining. …”
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Significance of microscopically incomplete resection margin after esophagectomy for esophageal cancer by Markar, Sheraz R.

“…Propensity score matching and multivariable analyses were used to compensate for differences in baseline characteristics. …”
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Kinship recognition from faces using deep learning with imbalanced data by Hadid, Abdenour

“…More specifically, given a pair of face images, we first use Resnet50 to extract deep features from each image. …”
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Aspect-based sentiment analysis using smart government review data by Alqaryouti , Omar

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Bacteriuria in pregnancy varies with the ambiance: a retrospective observational study at a tertiary hospital in Doha, Qatar by Fathima Minisha (14585369)

“…Meteorological variables including ambient average daily temperature and humidity were sourced from online meteorological data, and patient information such as demographic data, urine culture results and bacterial isolates were collected from patient files. …”

Development of Seed Variables Prediction Models for Use in Dynamic Backcalculation of FWD Data by Nasr, Cynthia

“…Generally, the backcalculation process is extensively used to analyze the Falling Weight Deflectometer (FWD)-data for estimating the layer-moduli of a pavement structure. …”
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Medical data integration using HL7 standards for patient’s early identification by A. AlQudahl, Adi

“…Integration between information systems is critical, especially in the healthcare domain, since interoperability requirements are related to patients’ data confidentiality, safety, and satisfaction. The goal of this study is to propose a solution based on the integration between queue management solution (QMS) and the electronic medical records (EMR), using Health Level Seven (HL7) protocols and Extensible Markup Language (XML). …”
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Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by Khan, Malik Nasir Afzal

“…These findings illustrate the ability to detect changes in brain states with high accuracy using fNIRS, underline the need for larger datasets, and demonstrate that data augmentation can significantly help when data are scarce in the case of brain signals.…”
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Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

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An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm by M Baritha Begum (17541483)

It Can’t Get No Worse: Using Twitter Data to Improve GDP Estimates for Developing Countries by Agustín Indaco (21633494)

“…<p dir="ltr">This paper shows that we can use social media data to improve the accuracy of GDP estimates at the country level for developing countries. …”

Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion by Abu Farha, Nadia

“…The overall results showed that vigilance is a brain region specific and the fusion of EEG+and Eye tracking data using CCA has significantly improved the classification accuracy of vigilance levels assessment.…”
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