بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
from mapping » from vaping (توسيع البحث)
element » elements (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data scheduling » task scheduling (توسيع البحث), ahead scheduling (توسيع البحث)
from mapping » from vaping (توسيع البحث)
element » elements (توسيع البحث)
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1
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016"…A Master of Science thesis in Engineering Systems Management by Alia Al Sadawi entitled, "Efficient Dynamic Cost Scheduling Algorithm for Data Batch Process," submitted in May 2016. …"
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doctoralThesis -
2
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
منشور في 2021"…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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article -
3
Exam scheduling algorithms. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
4
Stochastic Search Algorithms for Exam Scheduling
منشور في 2007"…Then, we empirically compare the three proposed algorithms and FESP using realistic data. Our experimental results show that SA and GA produce good exam schedules that are better than those of FESP heuristic procedure. …"
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article -
5
Three-phase approach for curriculum-based course timetabling problem. (c2012)
منشور في 2012الموضوعات: "…Scheduling -- Data processing…"
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masterThesis -
6
Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center
منشور في 2024الموضوعات: احصل على النص الكامل
doctoralThesis -
7
Three-phase simulated annealing algorithms for exam scheduling
منشور في 2003"…We empirically compare 3PSA with a 4-phase clustering-based heuristic algorithm using realistic data. Our experimental results show that 3PSA produces good exam schedules, which are better than those of the clustering heuristic procedure.…"
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conferenceObject -
8
Simulated annealing and genetic algorithms for exam scheduling. (c1997)
منشور في 1997احصل على النص الكامل
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masterThesis -
9
A Scatter search algorithm for exam scheduling. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
10
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
11
Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning
منشور في 2023الموضوعات: -
12
Intelligent Rapidly-Exploring Random Tree Star Algorithm
منشور في 2024احصل على النص الكامل
doctoralThesis -
13
Optimizing Energy Consumption of Cloud Computing IaaS
منشور في 2017الموضوعات: احصل على النص الكامل
doctoralThesis -
14
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15
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16
On-site workshop investment problem: A novel mathematical approach and solution procedure
منشور في 2023الموضوعات: -
17
Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link
منشور في 2023"…The solution obtained shows that the proposed scheduling algorithm meets the communication system's requirements while conserving power and energy resources.…"
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18
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
منشور في 2019احصل على النص الكامل
doctoralThesis -
19
Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
منشور في 2022"…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …"
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20
Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering
منشور في 2024"…The goal of this study is to use a promising technique for dimension reduction that reduces the noise but maintains the inter-view and cross-view consensus. A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …"