Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm by Ayman Khallel Al-Ani (17541447)

“…Furthermore, a route management technique is combined with Artificial Intelligence (AI) algorithm to transmit the data to appropriate central servers. …”

A decentralized load balancing strategy for parallel search-three optimization. (c2010) by Mouawad, Amer E.

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Topics in graph algorithms by Abu-Khzam, Faisal Nabih

“…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …”
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On the periodic hierarchical Chinese postman problem by Muhammed Emre Keskin (19457413)

On-site workshop investment problem: A novel mathematical approach and solution procedure by Nima Moradi (19418821)

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

Data Generation for Path Testing by Mansour, Nashat

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An Improved Quorum Selection Algorithm by Haraty, Ramzi A.

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An enhanced quorum selection algorithm by Haraty, Ramzi A.

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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method by Shahid Rahman (16904613)

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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Exam scheduling algorithms. (c1999) by Mikati, Ziad

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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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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. …”

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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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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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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