Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques by Abdul Karim (417009)

“…In conclusion, we compared the outcome of each algorithm and found that logistic regression is one of the best algorithms for the review-analysis of the Google Play Store from an accuracy perspective. …”

Optimizing Document Classification: Unleashing the Power of Genetic Algorithms by Ghulam Mustafa (458105)

“…BERT generates a 768-dimensional vector for each record, which introduces significant time complexity during computation. …”

Supervised term-category feature weighting for improved text classification by Attieh, Joseph

“…Training the ANN using the gradient descent algorithm allows updating the term-category matrix until reaching convergence. …”
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Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care by Barry Solaiman (19160614)

“…<p>This article proposes a framework for examining the ethical and legal concerns for using artificial intelligence (AI) in post-acute and long-term care (PA-LTC). It argues that established frameworks on health, AI, and the law should be adapted to specific care contexts. …”

Improvement Algorithm for Limited Space Scheduling by Zouein, Pierrette

“…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …”
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A discrete-time learning control algorithm by Saab, Samer S.

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Novel algorithms for accurate DNA base-calling by Mohammed, Omniyah Gul

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Algorithmic Study of Online Multi-Facility Location Problems by Markarian, Christine

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A genetic algorithm approach for regrouping service sites by Mansour, Nashat

“…In the first phase, the graph is decomposed into the required number of subgraphs (regions) using a tuned hybrid genetic algorithm. The second phase finds a suitable center within each region by using a heuristic algorithm. …”
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Learning control algorithms for tracking "slowly" varying trajectories by Saab, Samer S.

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A simulated annealing algorithm for the capacitated vehicle routing problem by Azar, Danielle

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A simulated annealing algorithm for the capacitated vehicle routing problem by Azar, Danielle

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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

“…Experimental results indicate that the proposed method outperforms random initialization in terms of the number of iterations required to achieve an optimal solution.…”
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A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making by Sachin Jain (19161721)

“…Digital surface model data is used as an auxiliary variable to further scale down to 30 m resolution. Long-term monthly maps of daily total solar radiation have been produced which consist of 12 monthly maps for global horizontal irradiance (GHI) and 12 monthly maps for direct normal irradiance (DNI) for each month of the year. …”

A distributed genetic algorithm for deterministic and stochastic labor scheduling problems by Mansour, Nashat

“…In this paper we present a unified formulation for these three labor scheduling problems and introduce a distributed genetic algorithm (DGA) that solves each of them. Our distributed genetic algorithm operates in parallel on a network of message-passing workstations. …”
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A parallel tabu search algorithm for VLSI standard-cell placement by Suit, S.M.

“…The objective of the algorithm is to achieve the best possible solution in terms of interconnection length, overall area of the circuit, and critical path delay (circuit speed). …”
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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data by Assaf, Ali

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On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise by Saab, Samer S.

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Approximation and heuristic algorithms for computing backbones in asymmetric ad-hoc networks by Abu-Khzam, Faisal N.

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Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection by HAMDALLAH, KHALID WAJIH TURKI

“…The data was used as training and testing sets to analyze certain machine learning algorithms in terms of performance (cost / benefit analysis) and accuracy (mean error square and confusion matrix). …”
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