Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining by Mohammadjafar Hadad (21142499)

“…The model developed in this work has the potential to be integrated with the Industrial Internet of Things to further enhance automated machining.…”

5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach by Rafiq Ahmad Khan (5066180)

“…The main goal of this study is to develop a 5G network security mitigation model (5GN-SMM) that leverages the predictive capabilities of ANN and the analysis of ISM to identify and mitigate security threats by providing practices in 5G networks. …”

A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems by Mariam Elnour (14147790)

Demand Forecasting in Supply Chain Management for Rossmann Stores Using Weather Enhanced Deep Learning Model by Nameer Ul Haq Qureshi (22224652)

“…More precisely, this research paper focuses on developing forecasting model for 1115 Rossmann stores located in Europe. …”

Predicting child development knowledge and engagement of Moroccan parents by Gail L. Zellman (19811562)

“…We used multiple regression models to predict parental knowledge and parental engagement in learning activities with their sons and separately with their daughters. …”

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review by Asma Alamgir (18288895)

“…<h3>Background</h3><p dir="ltr">Cardiac arrest is a life-threatening cessation of activity in the heart. Early prediction of cardiac arrest is important, as it allows for the necessary measures to be taken to prevent or intervene during the onset. …”

Hoek-Brown Strength Criterion for Actively Confined Concrete by Tabbara, Mazen

“…The normalized two-parameter Hoek–Brown criterion provides a simpler and more robust fit than theoretical and empirical models previously proposed in the literature for actively confined concrete. …”
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Data mining approach to predict student's selection of program majors by SIDDARTHA, SHARMILA

“…Cross validation is applied to train and test performance of models. Naïve Bayes, Decision Trees offered the best predictions across the different sampling techniques. …”
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Adsorption study of desulfurization of diesel oil using activated charcoal by Darwish, Noora Naif

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Impact of Ionic Strength and Charge Density on Donnan Potential in the NaCl-Cation Exchange Membrane System by Al-Sakaji, Baraa A. K.

“…The DH model can be safely used to predict the Donnan potential for feed compositions up to 0.1 M. …”
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Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail (22457644)

“…Our findings indicate that the LSTM model effectively captures and predicts the complex relationships between key design parameters—efficiency, fill factor, and open-circuit voltage—and degradation-induced changes in PSCs. …”

Evaluating methane adsorbed film densities on activated carbon in dynamic systems by Prosniewski, Matthew

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Deep learning based multimodal urban air quality prediction and traffic analytics by Saad Hameed (6488738)

“…This paper presents our novel solution for air quality prediction and its correlation with different environmental factors and urban activities, such as traffic density. …”

Predicting business cycle turning points with neural networks in an information-poor economy by Nasr, George E.

“…A feedforward neural network model is used to forecast turning points in the business cycle of postwar Lebanon. …”
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Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d... by Tarik Elhadd (5480393)

“…Interestingly, the blood glucose level prediction by our model was influenced by use of SGLT2i.…”

NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY by JINESH, PADIKKAPPARAMBIL

“…Furthermore, AAL could be the motivating technique for the most recent care models by working as an adjunct. Research and development (R&D) projects and business activities in AAL and smart home contexts frequently emphasize the significance of technology. …”
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Structure–function relations for gravimetric and volumetric methane storage capacities in activated carbon by Romanos, Jimmy

“…In this work, we propose a new model of the microporous structure, taking into account the degree of activation. …”
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Electrochemical corrosion parameters for active and passive reinforcing steel in carbonated and sound concrete by Muazzam G. Sohail (14778871)

“…A natural dispersion in the values of corrosion parameters for both active and passive steels was observed. The average Stern–Geary constant was 54 and 47 mV for active and passive steels, respectively. …”

Predicting Stock Prices in Dubai Financial Market Using Neural Networks and the Polynomial Classifiers by Al-Salkhadi, Saeed Mohammed

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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) by Tay, Bilal M.

“…Moreover, we propose in this thesis a Deep Learning Based Approach to Predict Non-Performing Loans. Compared to the literature, the proposed model embeds a new feature selection method and offers higher detection accuracy, which helps lenders and financial institutions to better manage their lending activities and loan monitoring processes.…”
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