Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model by Ahmad N. Alkuwari (22392226)

“…The evaluated machine learning models include traditional shallow detectors, deep learning-based detectors, and hybrid models that employ both horizontal and vertical detection strategies. …”

A machine learning model for early detection of diabetic foot using thermogram images by Amith Khandakar (14151981)

“…A comparatively shallow CNN model, MobilenetV2 achieved an F1 score of ∼95% for a two-feet thermogram image-based classification and the AdaBoost Classifier used 10 features and achieved an F1 score of 97%. …”

Validating a Structural Model of Destination Image, Satisfaction, and Loyalty Across Gender and Age by Assaker, Guy

“…We confirm that DI predicts satisfaction and has a significant direct and indirect effect on loyalty. After examining the validated structural model across different groups of respondents based on gender, age, and the gender by age interaction, we found that the model constructs differ across some of the groups. …”
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Sulfur oxidative coupling of methane process development and its modeling via machine learning by Giovanni Scabbia (13751501)

“…The outcomes of the simulated process were used to design a data-driven modeling approach, based on machine learning methods, and to evaluate its interpolation accuracy. …”

Feeder protection challenges with high penetration of inverter based distributed generation by Margossian, Haraj

“…The increasing proportion of inverter based distributed generation (DG) in the power system may limit the short circuit power available at distribution substations and consequently cause significant troubles for the protection of distribution feeders where DG are connected. …”
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Cybersecurity effectiveness in UK construction firms: an extended McKinsey 7S model approach by Badi, Sulafa

“…Design/methodology/approach– Based on a quantitative research strategy, this study collected data through a cross-sectional survey of professionals working in the construction sector in the United Kingdom (UK). …”
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A Stackelberg Game Inspired Model of Real-Time Economic Dispatch with Demand Response by Shakrina, Youssef

“…Additionally, an approach to the sizing of the ESS is proposed. Stochastic modeling of electricity prices based on historical data is used to this end. …”
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Effect of Pilot-Points Location on Model Calibration: Application to the Northern Karst Aquifer of Qatar by Husam Baalousha (18140608)

“…A conceptual model of this aquifer was developed based on MODFLOW software (United States Geological Survey). …”

A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand by Khawar Naeem (17984062)

“…The models included agent-based modeling (ABM), Bayesian networking (BN), analytical hierarchy approach (AHP), and simulation optimization multi-objective optimization (MOO). …”

PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…The tweets are classified into categories based on the feeling: Positive and negative. The authors applied Machine Learning algorithms, Support Vector Machines (SVM) and the Naïve Bayes (NB) and accordingly they compared the accuracy between them. …”
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PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…The tweets are classified into categories based on the feeling: Positive and negative. The authors applied Machine Learning algorithms, Support Vector Machines (SVM) and the Naïve Bayes (NB) and accordingly they compared the accuracy between them. …”
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Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

“…Results on cell association, load balancing, and EE of LBUs have been compared with conventional association schemes. The proposed battery based cell association models perform well in favor of LBUs and clearly show the significance of the proposed approach.…”

Power System Stability With High Penetration of Renewable Energy Sources: Challenges, Assessment, and Mitigation Strategies by Jana Sheikh Ali (22392121)

“…The PSS methodologies in the literature are categorized into three main categories: model-based, optimization-based, and artificial intelligence (AI)-based approaches. …”

A Prospective observational cohort of clinical outcomes in medical inpatients prescribed pharmacological thromboprophylaxis using different clinical risk assessment models (COMPT R... by Chamoun, Nibal

“…Pharmacologic thromboprophylaxis was warranted in 97.6%, 99.7%, and 52.9% of patients using the Caprini-based, Caprini, and Padua RAMs respectively. The Caprini-based and Caprini RAMs were highly correlated (r = 0.873 p < 0.001) and were significantly less correlated with the Padua RAM. …”
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Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system by Sampath Rajapaksha (17541411)

“…However, vanilla AE models often suffer from overgeneralization, reconstructing anomalies without significant errors, resulting in many false negatives. …”

Machine learning-based prediction of one-year mortality in ischemic stroke patients by Ahmad Abujaber (9100064)

Harnessing microalgae for a synergistic approach to CO₂ capture, wastewater treatment, and biodiesel production: A review by Abdullah M. AlSalal (23770842)

“…Innovative cultivation strategies including high-rate algal ponds, membrane <u>bioreactors</u>, and CO₂-enriched <u>flue gas</u> significantly enhance productivity and resource efficiency. …”

Toward a Clearer Understanding of Value‐Based Healthcare: A Concept Analysis by Vahe Kehyayan (21241649)

“…<h3>Background</h3><p dir="ltr"> Value‐based healthcare (VBHC) aims to improve the quality of healthcare delivery while reducing costs and also aims for outcomes that are of utmost importance from patients’ perspectives. …”

Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks by Ahmed , Abdelrahman

“…In this paper, we propose an objective framework for modeling agent productivity for real estate call centers based on speech signal processing. …”
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Towards the development of an integrated model for examining the determinants affecting the use of Queue Management Solutions in Healthcare by ALQUDAH, ADI AHMAD ALI

“…The results revealed that the new tool is beneficial, and the median times to finish the processes within the patient’s journey have significantly decreased. To evaluate the use of the enhanced QMS, this research develops an integrated model based on the integration of various constructs extracted from different theoretical models, including the UTAUT, TAM, and social cognitive theory (SCT) along with trust and innovativeness as external factors. …”
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