An Improved Quorum Selection Algorithm by Haraty, Ramzi A.

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Advanced Quantum Control with Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain by Farshad Rahimi Ghashghaei (20880995)

“…We comprehensively analyse the proposed ensemble learning, including algorithmic details, implementation specifics, and experimental results. …”

Correlation Clustering with Overlaps by Fakhereldine, Amin

“…We present a heuristic algorithm and a semi-exact algorithm for the Multi-Parameterized Cluster Editing with Vertex Splitting problem. …”
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Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

“…The authors present robust stability bounds for sampled data systems. …”
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Robust control of sampled data systems by Al-Sunni, F.M.

“…The authors present robust stability bounds for sampled data systems. …”
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Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

“…The authors present robust stability bounds for sampled data systems. …”
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Robust Control Of Sampled Data Systems by AL-Sunni, Fouad

“…The authors present robust stability bounds for sampled data systems. …”
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Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

“…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …”

Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods by Sivakavi Naga Venkata Bramareswara Rao (15944992)

“…Thus, to identify the best load forecasting method in cluster microgrids, this article implements a variety of machine learning algorithms, including linear regression (quadratic), support vector machines, long short-term memory, and artificial neural networks (ANN) to forecast the load demand in the short term. …”

Exam scheduling algorithms. (c1999) by Mikati, Ziad

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Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

“…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …”

Data Redundancy Management in Connected Environments by Mansour, Elio

“…., building) equipped with sensors that produce and exchange raw data. Although the sensed data is considered to contain useful and valuable information, yet it might include various inconsistencies such as data redundancies, anomalies, and missing values. …”
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Artificial neural network algorithms. (c1999) by Ramadan, Samer N.

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Graph Contraction for Mapping Data on Parallel Computers by Mansour, N.

“…The mapping solution for the original problem is obtained by a straightforward interpolation. We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, genetic algorithm and simulated annealing. …”
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Mapping realistic data sets on parallel computers by Mansour, N.

“…The authors propose reducing the problem size by a mapping-oriented graph contraction technique. They present a graph contraction (GC) heuristic algorithm that yields a smaller representation of the problem, to which mapping is then applied. …”
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Scatter Search algorithm for Protein Structure Prediction by Mansour, Nashat

“…In this paper, we present a Scatter Search (SS) algorithm for predicting 3D structures of proteins based on torsion angles representation. …”
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Parallel genetic algorithm for disease-gene association by Mansour, Nashat

“…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. …”
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A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM by Selim, S.Z.

“…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. The problem is known to have local minimum solutions which are usually what the K-means algorithm obtains. …”
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Particle swarm optimization algorithm: review and applications by Abualigah, Laith

“…The main procedure of the PSO algorithm is presented. Future researchers can use the collected data in this survey as baseline information on the PSO and PSO's applications.…”
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NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM by Kamel, M.S.

“…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …”
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