A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries by Ammar Yousaf Kharal (16891470)

“…The adaptation of smart metering technology has enabled much of the developed world to significantly reduce their NTLs. Also, the recent advancements in machine learning and data analytics have enabled a further reduction in these losses. …”

Statistical Modelling and Correlation of Membrane Distillation Data by Hamdoon, Azza

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Automatic detection of data manipulation in power systems by Al Halabi, Leen

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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

A comparison study of prevalence, awareness, treatment and control rates of hypertension and associated factors among adults in China and the United States based on national survey... by Xiaomin, Sun

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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

“…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia by Dao H. Vu (19570225)

An Investigation on Users’ Perceptions of Open Government Data in Qatar by Rima Charbaji El-Kassem (22047890)

“…Data collected from 1426 respondents through a questionnaire were analyzed using multiple quantitative approaches, including importance‐performance analysis (IPA)–based strengths, weaknesses, opportunities, and threats (SWOT) analysis; gap analysis; factor analysis; multiple regression; and path analysis. …”

Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator by Fatemeh Negar Irani (22302835)

“…Aiming at these problems, this study develops a novel unsupervised data-driven FD strategy based on leveraging the potential of <u>transfer learning</u> and the Koopman operator. …”

Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner by Md. Tawkat Islam Khondaker (16870107)

A Hybrid Semantic Integration Framework for Improving Data Quality by Hamdy, Mahmoud Esmat

“…Significant and seminal research articles are reviewed based on selection criteria. …”
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Blue collar laborers’ travel pattern recognition: Machine learning classifier approach by Aya Hasan Alkhereibi (17151070)

“…<p dir="ltr">This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected by the Ministry of Transportation and Communication (MoTC) in Qatar was used for analysis. …”

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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Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring by Sakib Mahmud (15302404)

“…In the first phase, corrupted wPPG waveforms are blindly restored using a 1D-CycleGAN-based restoration framework. Subsequently, in the second phase, the restored wPPG waveforms are translated into clean finger PPG (fPPG) signals through a 1D-CycleGAN-based signal-to-signal translation or synthesis framework. …”

Students’ perceptions of Kahoot!: An exploratory mixed-method study in EFL undergraduate classrooms in the UAE by Alawadhi, Azza

“…In recent years, game-based student response systems (GSRS) such as Socrative, Quizlet, and Kahoot! …”
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A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming by Shah Nazir (14779162)

“…Scientific programming play a significant role to overcome the existing issues and future problems involved in the management of large scale data in healthcare, such as by assisting in the processing of huge data volumes, complex system modelling, and sourcing derivations from healthcare data and simulations. …”

Kinship recognition from faces using deep learning with imbalanced data by Hadid, Abdenour

“…Kinship verification from faces aims to determine whether two person share some family relationship based only on the visual facial patterns. This has attracted a significant interests among the scientific community due to its potential applications in social media mining and finding missing children. …”
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An integrated data-centric innovations strategy for tackling road safety in Qatar by Adnan Abu-Dayya (16904850)

“…<p dir="ltr">The Qatar Mobility Innovations Center (QMIC) has defined an integrated innovations strategy for developing and deploying local solutions and applications that tackle road safety in Qatar and the region. This strategy is based on utilizing distributed data and connected devices to deliver intelligent user-centric services and applications that will tackle different problems contributing to road accidents in Qatar and the region. …”