MoveSchedule by Zouein, Pierette

“…MoveSchedule is validated using realistic project data and its solution is qualitatively assessed by an experienced engineer on that project.…”
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PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits by Hind Almerekhi (7434776)

“…Before finding toxicity triggers, we built and evaluated various machine learning models to detect toxicity from Reddit comments. Subsequently, we used our best-performing model, a fine-tuned Bidirectional Encoder Representations from Transformers (BERT) model that achieved an area under the receiver operating characteristic curve (AUC) score of 0.983 to detect toxicity. …”

CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children by Jayakanth, Kunhoth

“…Soft voting and hard voting strategies are employed to ensemble these CNN models. The pre-trained DenseNet201 network is used for CNN feature extraction from each task-specific handwritten image data. …”
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AUTOMATIC WEINBERGER ARRAY SYNTHESIS FROM UAHPL DESCRIPTION by Sait, Sadiq M.

“…The system also minimizes the area required by the WA by performing row compaction. An algorithm similar to that used for channel routing is employed for compaction (Hashimoto and Stevens 1971). …”
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Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

“…This success rate is determined by the frequency of instances where models performed better when augmented data was used compared to instances with no augmentation. …”

A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions by Chakarajamula Hussaian Basha (21633167)

“…The studied hybrid optimization MPPT methods are equated in terms of oscillations across MPP, output power extraction, settling time of the MPP, dependency on the PV modeling, operating duty value of the converter, error finding accuracy of MPPT, algorithm complexity, tracking speed, periodic tuning required, and the number of sensing parameters utilized. …”

Video Streaming over D2D Networks by Ahmed, Ibtihal Mohamed Taha

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A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai by ALGHANEM, HANI SUBHI MOHD

“…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …”
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children by Jayakanth Kunhoth (14158908)

“…Soft voting and hard voting strategies are employed to ensemble these CNN models. The pre-trained DenseNet201 network is used for CNN feature extraction from each task-specific handwritten image data. …”

Transformations for Variants of the Travelling Salesman Problem and Applications by Assaf, Mustafa Jamil

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Evolutionary support vector regression for monitoring Poisson profiles by Ali Yeganeh (16624998)

“…This paper aims to monitor Poisson profile monitoring problem in Phase II and develops a new robust control chart using support vector regression by incorporating some novel input features and evolutionary training algorithm. …”

Net energy–cost optimization of STPV–PDRC integrated greenhouses: Balancing energy production and cooling demand under crop-specific DLI constraints by Mohammadreza Gholami (17032317)

“…This study developed a multi-objective optimization framework integrating passive daytime radiative cooling (PDRC) materials and semi-transparent photovoltaics (STPV) to enhance greenhouse performance under varying daily light integral (DLI) constraints. Using coupled energy simulation, daylight analysis, and cost modeling, we evaluated material configurations across various representative DLI thresholds, reflecting different crop requirements. …”

Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities by Ramesh, Jayroop

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Area Flexible GF(2k) Elliptic Curve Cryptography Coprocessor by Gutub, Adnan

“…This multiplier hardware is furthermore adjusted to have area flexibility feature, which is used as the basic block in modeling a complete projective coordinate GF(2k) ECC coprocessor.…”
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Education Data Mining to Predict Student Exam Grades in Vocational Institutes by Saleh, Ashjan Ahmad

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

“…Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …”

Creating and detecting fake reviews of online products by Joni Salminen (7434770)

“…Using the better model, GPT-2, we create a dataset for a classification task of fake review detection. …”

Machine Learning Techniques for Pharmaceutical Bioinformatics by SULTAN, AHMED ATTA AHMED

“…In this matrix, each drug is represented by a vector of attributes from all other drugs. A predictive model is developed to predict drug indication as well as to predict new DDIs using multiple machine learning algorithms. …”
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Predicting Cardiovascular Disease in Patients with Machine Learning and Feature Engineering Techniques by Tyagi, Sapna

“…As a result, the research proposes a model for predicting the likelihood of heart disease incidence using logistic regression capabilities.…”
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A Novel Centrality-Based Approach for Link Prediction by El Khoury, Elissa Lichaa

“…Namely, we consider weighted betweenness, closeness and Katz centralities, in addition to the Resource Allocation and Adamic-Adar indices. We also use a genetic algorithm to optimize the weights of these metrics, reflecting their contributions to link prediction. …”
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