بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
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A data envelopment analysis model for opinion leaders’ identification in social networks
منشور في 2024"…Social Network Analysis (SNA)-based OLs finding methods deal with a considerable amount of data due to using entire relationships between all of the users in a network, which makes the algorithms time-consuming. …"
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303
BioNetApp: An interactive visual data analysis platform for molecular expressions
منشور في 2019"…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…"
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304
Automatic keyword extraction from a real estate classifieds data set
منشور في 2011"…We begin with designing data cleansing algorithms to verify different attributes of the real estate classified. …"
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305
Data Endowment as a Digital Waqf: An Islamic Ethical Framework for AI Development
منشور في 2025"…<p dir="ltr">In the era of artificial intelligence (AI), data is often called the new oil—an essential asset for training algorithms and fueling intelligent systems. …"
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306
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307
Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review
منشور في 2025"…Machine learning algorithms are a set of data-driven rules that are able to classify specific faults in induction motors, which will be explained further in this review paper. …"
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308
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309
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
منشور في 2019احصل على النص الكامل
doctoralThesis -
310
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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311
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312
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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conferenceObject -
313
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314
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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315
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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316
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317
On sensor selection in mobile devices based on energy, application accuracy, and context metrics
منشور في 2013"…We use this algorithm to build a sensor selection model to choose among location sensors. …"
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
318
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. …"
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319
A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities
منشور في 2021"…To efficiently process the incoming big data streams, the proposed architecture uses the Apache GraphX tool with several parallel processing nodes, along with Spark and Hadoop that ultimately provide better performance against various state-of-the-art solutions. …"
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320
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. …"