Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

الموضوعات: "…Estimation error,Runtime,Computational modeling,Data structures,Approximation algorithms,Encoding,Computational efficiency…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

الموضوعات: احصل على النص الكامل

Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing حسب Al Sadawi, Alia

احصل على النص الكامل

Physical optimization algorithms for mapping data to distributed-memory multiprocessors حسب Mansour, Nashat

"…We also present a technique for efficient mapping of large data sets. The algorithms include a parallel genetic algorithm (PGA), a parallel neural network algorithm (PNN) and a parallel simulated annealing algorithm (PSA). …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data حسب Assaf, Ali

"…In this work, we present DG-means, which is a greedy algorithm that performs on distributed sets of data. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain حسب Al Sadawi, Alia

"…This work investigates the problem of scheduling the processing of tasks with non-identical sizes and different priorities on a set of parallel processors. An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
احصل على النص الكامل

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). …"
احصل على النص الكامل

Using genetic algorithms to optimize software quality estimation models حسب Azar, Danielle

"…In the first approach, we assume the existence of several models, and we use a genetic algorithm to combine them, and adapt them to a given data set. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …"

An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…As a result, the prediction models built on one data set show a significant deterioration of their accuracy when they are used to classify new, unseen data. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

الموضوعات:

Mapping realistic data sets on parallel computers حسب Mansour, N.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A reduced model for phase-change problems with radiation using simplified PN approximations حسب Belhamadia, Youssef

"…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …"
احصل على النص الكامل

Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts حسب ALSHAMSI, SUROUR

"…In addition, it implies carrying out the training and testing process in each phase. Since the best model is obtained from training, each time it is performed for a given phase, the model is adjusted to detect new attacks. …"
احصل على النص الكامل

Auto-indexing Arabic texts based on association rule data mining. (c2015) حسب Rouba G. Nasrallah

"…The model uses the Apriori Algorithm - an association rule algorithm for extracting frequent sets containing related items - to extract relations between words in the texts to be indexed with words from texts that belong to the same category. …"
احصل على النص الكامل
احصل على النص الكامل

Automatic keyword extraction from a real estate classifieds data set حسب Devassy, Dibin

"…Keywords are considered to be a solution to this problem and are now widely used to search the information over the internet.In this project we analyze a real estate classifieds data set, with an objective to find keywords that represent this data set. …"
احصل على النص الكامل

Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem حسب Denis Alicic (23073484)

Data reductions and combinatorial bounds for improved approximation algorithms حسب Abu-Khzam, Faisal N.

"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Optimizing Energy Consumption of Cloud Computing IaaS حسب Mohamed, Huda Ibrahim

احصل على النص الكامل