Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations حسب Mansour, Nashat

"…Three optimization methods derived from natural sciences are considered for allocating data to multicomputer nodes. These are simulated annealing, genetic algorithms and neural networks. …"
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Exam scheduling algorithms. (c1999) حسب Mikati, Ziad

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

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A Tabu Search algorithm for mapping data to multicomputers. (c1997) حسب Diab, Kamal M.

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Allocating data to distributed-memory multiprocessors by genetic algorithms حسب Mansour, Nashat

"…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …"
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Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review حسب Francisco Monteiro-Guerra (16864122)

Web Based Online Hybrid Teaching Method of Network Music Course حسب Abu Zitar, Raed

"…Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …"
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Properties of simulated annealing and genetic algorithms for mapping data to multicomputers حسب Mansour, Nashat

"…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …"
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General applicability of genetic and simulated annealing algorithms for data mapping حسب Mansour, Nashat

"…We experimentally analyze the general applicability of genetic algorithms (GA) and simulated annealing algorithms (SA) for mapping data to multicomputers. …"
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Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) حسب Kawash, Jalal Y.

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An enhanced k-means clustering algorithm for pattern discovery in healthcare data حسب Haraty, Ramzi A.

"…This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …"
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A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality حسب KARAM, ZAINAB HAMDAN

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On the steiner walk problem. (c2009) حسب Maarouf, Amina

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Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

الموضوعات:

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm حسب Abu Zitar, Raed

"…As a result, the embedding capacity in each class can increase by reducing the value of the difference between two consecutive pixels, and the distortion of the marked image can decrease after inserting the personal data using the DE method. Experimental results show that the proposed method is better than comparable methods regarding the degree of distortion, quality of the marked image, and insertion capacity.…"
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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

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An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm حسب M Baritha Begum (17541483)

Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"

Improved search-tree algorithms for the cluster edit problem. (c2011) حسب Ghrayeb, Ali Kassem

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