Data-Assisted Radio Resource Allocation in Shared Spectrum Multi-RAT Heterogeneous Network by Salman Saadat (17541654)

“…The results based on actual data collected from real-life WiFi deployment scenarios indicate significant improvement in coexistence performance and spectrum utilization of the unlicensed band with the proposed approach. …”

The Influence of Kanban Project Management Methodology Success Factors on Data Science Project Teams by AHMED, ARWA

“…The results of the study were based on the collection of survey data from the target population of project managers and other members of the Data Science project teams. …”
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Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing by Nauman Ullah Gilal (17302714)

“…However, automated food classification presents a significant challenge, particularly when it comes to local and regional cuisines, which are often underrepresented in available public-domain data sets. …”

Evaluating machine learning technologies for food computing from a data set perspective by Nauman Ullah Gilal (17302714)

“…The rapid increase of available image data and the fast evolution of artificial intelligence, paired with a raised awareness of people’s nutritional habits, have recently led to an emerging field attracting significant attention, called food computing, aimed at performing automatic food analysis. …”

Annexin A3 in sepsis: novel perspectives from an exploration of public transcriptome data by Mohammed Toufiq (7251596)

Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai by Khashan, Deena Younis Abo

“…Predicting the price of real estate properties based on past sales transactions is one of the data mining applications. …”
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Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare by Haraty, Ramzi A.

“…Since even segmenting the log into clusters may not solve the problem, as clusters/segments may grow to be humongous in size, this is in case of high data/transaction dependency, we suggest a method for segmenting the log into clusters and its sub-clusters; i.e, segmenting the cluster; based on exact data dependency [12], into sub-clusters; based on two different criteria: number of data items or space occupied. …”
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Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

“…First, an analytical model based on mass and energy balance and a data-driven model based on an artificial neural network is developed, and their prediction performance is compared. …”

Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

“…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …”

The Impact of Inquiry-based Learning on the Critical Thinking of high School Students by AZZAM, LILIAN ABDELNASSER

“…Explanatory sequential mixed-methods approach was utilized in the current study in which the data are collected and analyzed quantitatively first, and then qualitative data were collected in order to fully explain the quantitative data results The current study found that inquiry-based learning approach has a statistically significant positive impact on the high school students’ critical thinking in where the independent T-test results were for t (90) = 7 with a P value equals to 0.000 ˂ 0.05. …”
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LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress by Almadani, Ismat Feras Ismat

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The Impact of Big Data Analytics Capability and Organisational Resilience on Firm Competitive Performance: An Empirical Study in the UAE by BETTAYEB, AMEL

“…Finally, both strategic and operational resilience exert a significant and positive effect on the FCP. This study makes a significant theoretical contribution indicating that researchers should reconsider the immediate consequences of big data investments and instead concentrate on the ways in which BDAC can be utilised to facilitate and bolster organisational capabilities. …”
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Effectiveness of a Technology-Based Intervention to Teach Evidence-Based Practice: The EBR Tool by Long, JoAnn D.

“…Clinical nurses report relying on personal experience to answer clinical questions rather than searching evidence-based sources. To address the problem, a web-based, evidence-based research (EBR) tool that is usable from a computer, smartphone, or iPad was developed and tested. …”
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Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation by Vagelis Plevris (14158863)

“…However, its reliability is impacted by challenges such as false positives, false negatives, and environmental variability, particularly in low base rate damage scenarios. The Base Rate Bias plays a significant role, as low probabilities of actual damage often lead to misinterpretation of positive results. …”

Investigating Educators’ Perceptions of the Impact of STEM Project-Based Learning on 21st Century Skills by AL-TIMANI, SANAA

“…This study investigates educators' perspectives on STEM Project-Based Learning (PBL) implementation and its effectiveness in fostering 21st century skills in private American schools in Ajman, UAE. …”
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DNA Base-Calling Techniques by Odeh, Fadi

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Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006) by Zeitunlian, Arda

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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm by Odat, Alhaj-Saleh A.

“…This article outlines the input data and partial shading conditions employed in the replication model of Sequential Monte Carlo (SMC)-based tracking techniques for photovoltaic (PV) systems. …”
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The Impact of Technology-Enhanced Instruction on Student Achievement: A Comparative Study Using MAP and CAT 4 Data by DIB, ELISE

“…Findings indicate that TEI has a modest but significant impact on academic achievement with varying effects across subjects. …”
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Network Packet Transformation Approaches for Intrusion Detection Systems: A Survey by Somaya Eltanbouly (22565864)

“…In a survey of recent popular papers, we identified four main categories of data representations: numerical, pixel-based, sequence-based, and graph-based approaches. …”