بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
sample processing » image processing (توسيع البحث), melt processing (توسيع البحث)
could algorithm » mould algorithm (توسيع البحث), carlo algorithm (توسيع البحث), colony algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
sample processing » image processing (توسيع البحث), melt processing (توسيع البحث)
could algorithm » mould algorithm (توسيع البحث), carlo algorithm (توسيع البحث), colony algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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A Multi-Channel Convolutional Neural Network approach to automate the citation screening process
منشور في 2021"…This study aims to automate the citation screening process using Deep Learning algorithms. With this, it is aimed to reduce the time and costs of the citation screening process and increase the precision and recall of the relevant primary studies. …"
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224
Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks
منشور في 2013"…In the proposed approach, mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. In each cluster, collaboration is implemented by having a cluster head send the content to other cluster members using a short-range wireless communications technology. …"
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225
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
منشور في 2019احصل على النص الكامل
doctoralThesis -
226
Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…Features of transmission line maintenance were used to increase accuracy of estimation. Algorithms were tested using the test power system IEEE39. …"
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227
A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption
منشور في 2019"…To show the applicability of the proposed approach, Iran’s bitumen consumption data in the period of 1991-2006 are used as a case study. …"
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228
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229
Performance evaluation of load balancing algorithms for parallel single-phase iterative PDE solvers
منشور في 1994"…We review and evaluate the performances of six data mapping algorithms used for parallel single-phase iterative PDE solvers with irregular 2-dimensional meshes on multicomputers. …"
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Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
منشور في 2020"…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …"
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232
A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
منشور في 2024"…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …"
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233
K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation
منشور في 2022"…This paper introduces K Nearest Neighbor OveRsampling (KNNOR) Algorithm — a novel data augmentation technique that considers the distribution of data and takes into account the k nearest neighbors while generating artificial data points. …"
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Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
منشور في 2024"…The proposed algorithm unlocks scalability and system adaptability to operational variability by adopting numeric imputation and missing-data-tolerant techniques. …"
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235
KNNOR: An oversampling technique for imbalanced datasets
منشور في 2021"…Several techniques have been proposed in the literature to add some semblance of balance to the data sets by adding artificial data points. Synthetic Minority Oversampling Technique(SMOTE) and Adaptive Synthetic Sampling(ADASYN) are some of the commonly used techniques to deal with class imbalance. …"
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …"
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A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm
منشور في 2019"…In contrast, the sun position algorithms use mathematical formula or astronomical data to obtain the station of the sun at a particular geographical location and time. …"