The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

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

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

احصل على النص الكامل

A Simulated Annealing Algorithm for System-on-Chip Test Scheduling with, Power and Precedence Constraints حسب Harmanani, Haidar M.

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

Power-constrained system-on-a-chip test scheduling using a genetic algorithm حسب Harmanani, Haidar M.

"…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
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

Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link حسب Bayan Hussein (16904856)

"…The solution obtained shows that the proposed scheduling algorithm meets the communication system's requirements while conserving power and energy resources.…"

Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment حسب Sachi Gupta (19560268)

"…Among these methods, the Heterogeneous Earliest Finish Time (HEFT) algorithm is recognized to produce optimal outcomes in a shorter time period for scheduling tasks in a heterogeneous environment. …"

How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation حسب Joni Salminen (7434770)

MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network حسب Sakib Mahmud (15302404)

"…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. Although a few deep learning-based models have been proposed for the removal of ocular, muscle, and cardiac artifacts from EEG data to the best of our knowledge, there is no attempt has been made in removing motion artifacts from motion-corrupted EEG signals: In this paper, a novel 1D convolutional neural network (CNN) called multi-layer multi-resolution spatially pooled (MLMRS) network for signal reconstruction is proposed for EEG motion artifact removal. …"

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

"…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …"

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

"…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
احصل على النص الكامل
احصل على النص الكامل

Optimal Management of Mobile Energy Generation and Storage Systems حسب Samara, Sarra Mahmoud

احصل على النص الكامل

Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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

Incremental Genetic Algorithm حسب Mansour, Nashat

"…Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. …"
احصل على النص الكامل
احصل على النص الكامل

An efficient method for the open-shop scheduling problem using simulated annealing حسب Harmanani, Haidar M.

"…This paper presents a simulated annealing algorithm in order to solve the nonpreemptive open-shop scheduling problem with the objective of minimizing the makespan. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems حسب Raka Jovanovic (17947838)

"…The GRASP algorithm is used for case studies on several public transport systems having various properties and sizes. …"

Incremental & classical genetic algorithm. (c2001) حسب Awad, Mohamad M.

احصل على النص الكامل
احصل على النص الكامل

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

"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"

Mining airline data for CRM strategies. (c2006) حسب Maalouf, Lena

احصل على النص الكامل
احصل على النص الكامل

Indexing Arabic texts using association rule data mining حسب Haraty, Ramzi A.

"…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل