Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions by Dao H. Vu (19517236)

“…The multi-layer moving window approach allows the layers to adjust their size to accommodate the weather variables based on their significance, which creates more flexibility and adaptability thereby improving the overall performance of the proposed approach. …”

Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

“…Existing neural network-based models generally suffer from a limited field of perception and poor long-term dependency capturing abilities, which severely restrict their performance. …”

Analyzing the efficiency of intellectual capital: anewapproach based on DEA-MPI technology by Mohamed Habib, Ahmed

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A Blockchain-Based Scalability Solution with Microgrids Peer-to-Peer Trade by Ameni Boumaiza (19160734)

“…The results of this study demonstrate that the suggested technique outperforms base-layer models in terms of scalability while still maintaining the essential elements of security and decentralization. …”

Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

Assessing the eco-environmental aspects of fossil fuels-based units substitution of Point Aconi thermal power plant by green-based energies: a case study of Canada by Nima Amiri (21842687)

“…This paper presents a model that replaces fossil fuels used in a proposed thermal power plant in Point Aconi, Nova Scotia, with photovoltaic and wind turbine units based on the region’s climate conditions. …”

Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning by Zeinab, Samira Jihad

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A Decision Modelling Approach for Perceived and Engaged Immersive Visual Interactive Applications on the Metaverse by IBRAHIM, SAMAR

“…The new extended IVFN-FWZIC method weighs the criteria for benchmarking the optimal applications based on experts’ judgments. The results illustrate the effectiveness of the modelling approach and indicate that "spatial" and “haptics” are the most significant criteria in evaluating immersive visual interactive applications. …”
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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.…”