Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

"…To address this problem, we propose a random skip connection-based edRVFL, which can keep the diversity in the latent space. esc-RVFL is an ensemble scheme that utilizes several edRVFL-RSC models trained on the different folds of the training dataset. …"

Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems حسب Khaled Dhibi (16891524)

Blue collar laborers’ travel pattern recognition: Machine learning classifier approach حسب Aya Hasan Alkhereibi (17151070)

"…A bagged Clustering algorithm was employed to identify the number of clusters, then the C-Means algorithm and the Pamk algorithm were implemented to validate the results. …"

Adaptive Video Streaming Over Cognitive Radio Networks حسب Mohamed, Ala Eldin Omer

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Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System حسب Abdelbaset Laib (16904688)

"…An optimal hybrid interval Type-2 fuzzy PID+I logic controller (OH-IT2FPID+I) using a practical swarm optimization algorithm for a multi-degree-of-freedom oil well drill-string system is proposed in this paper. …"

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

"…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …"

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation حسب Zakaria Shams Siam (22048001)

"…Efforts are underway to develop algorithms that can generate 7T MRI from 3T MRI to achieve better image quality without the need for 7T MRI machines. …"

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study حسب Ayman Hassan (14426412)

"…We aimed to develop an app using a comprehensive geomapping navigation and estimation system based on machine learning algorithms. This app uses key stroke-related timelines including the last time the patient was known to be well, patient location, treatment options, and imaging availability at different health care facilities.…"

Online Control and Optimization of Directional Drilling حسب unknown

"…In this thesis, dynamic modeling of two different DSS were developed and optimized using different control and optimization techniques. …"
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SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data حسب Tekli, Joe

"…Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …"
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Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace حسب Shahid, Saif Mohammad

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Scheduling and allocation in high-level synthesis using stochastic techniques حسب Sait, Sadiq M.

"…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. This approach is different from a previous attempt using GA (Wehn et al., IFIP Working Conference on Logic and Architecture Synthesis, Paris, 1990, pp. 47–56) in many respects. …"
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Mobile hospitals routing for prioritized patients حسب Tarhini, Abbas

"…A lot of research has been conducted regarding this topic; still, up to our knowledge, none used an intelligent variable neighbourhood search approach. This paper implements and tests an intelligent variable neighbourhood search algorithm for MHRP. …"
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Mobile Robot Trajectory Tracking Using Neural Networks حسب Mohareri, Omid

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Machine learning approach for the classification of corn seed using hybrid features حسب Aqib Ali (19680145)

"…The nine optimized features have been acquired by employing the correlation-based feature selection (CFS) technique with the Best First search algorithm. To build the classification models, Random forest (RF), BayesNet (BN), LogitBoost (LB), and Multilayer Perceptron (MLP) were employed using optimized multi-feature using (10-fold) cross-validation approach. …"

Gesture-based Graph-theoretic Robot Formation Control حسب Sajid, Mahroo

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Multigrid solvers in reconfigurable hardware. (c2006) حسب Kasbah, Safaa J.

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An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…There are no previous papers or literature reviews on applying artificial intelligence in predictive maintenance for Electronic Toll Collection failure forecast to perform a comparison of the effectiveness of Machine Learning Models. Despite having different performance results on predicting failures, most of the models produced close outcomes. …"
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Robust tuning of power system stabilizers in multimachine powersystems حسب Abdel-Magid, Y.L.

"…The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. The objective function allows the selection of the stabilizer parameters to optimally place the closed-loop eigenvalues in the left-hand side of a vertical line in the complex s-plane. …"
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Optimal design of power system stabilizers using evolutionary programming حسب Abido, M.A.

"…Incorporation of EP algorithm in the design of PSSs significantly reduces the computational burden. …"
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