بدائل البحث:
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
element » elements (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
element » elements (توسيع البحث)
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A genetic algorithm for testable data path synthesis
منشور في 2017احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
23
Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits
منشور في 2003"…Testing system-on-chips involves applying huge amounts of test data, which is stored in the tester memory and then transferred to the chip under test during test application. …"
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article -
24
Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…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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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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
27
Optimizing Energy Consumption In Cloud Datacenters
منشور في 2024احصل على النص الكامل
doctoralThesis -
28
CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments
منشور في 2024"…We propose a cooperative, load-balancing task allocation and scheduling algorithm based on sequential single-item auctions (CoLoSSI) that explicitly considers the non-atomicity of tasks, promotes synergies between agents, and enables cooperation while maintaining computational tractability. …"
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Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations
منشور في 1992"…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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احصل على النص الكامل
احصل على النص الكامل
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A reduced model for phase-change problems with radiation using simplified PN approximations
منشور في 2025"…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. …"
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article -
33
A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
منشور في 2016"…Then, it searches for population discriminative motifs or differentiable sequence of SNPs, by implementing Probabilistic Suffix Trees data structures. We initially tested the efficiency and performance of our method on several simulated datasets and then applied it on a real genomic data that has different populations from the Middle East and North Africa (MENA) region. …"
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احصل على النص الكامل
masterThesis -
34
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
36
Brain Source Localization in the Presence of Leadfield Perturbations
منشور في 2015احصل على النص الكامل
doctoralThesis -
37
Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
منشور في 2022"…The accuracy of these algorithms was assessed with standard statistical measures and ground truth data randomly collected in Prince Edward Island, Canada. …"
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Using Machine Learning Algorithms to Forecast Solar Energy Power Output
منشور في 2025"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"
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Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
منشور في 2021"…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …"
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article