بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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421
Automatic keyword extraction from a real estate classifieds data set
منشور في 2011"…Keywords are considered to be a solution to this problem and are now widely used to search the information over the internet.In this project we analyze a real estate classifieds data set, with an objective to find keywords that represent this data set. …"
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422
Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
منشور في 2011"…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …"
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423
Optimizing Energy Consumption In Cloud Datacenters
منشور في 2024احصل على النص الكامل
doctoralThesis -
424
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425
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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426
Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…The most important question when using multimodal data is how to fuse them—a field of growing interest among researchers. …"
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427
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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428
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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429
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430
K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation
منشور في 2022"…<p>Data is present in abundance, but the problem of imbalanced dataset crops up time and again, vexing classifiers and reducing accuracy. …"
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431
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432
A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading
منشور في 2020"…The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. The outcomes from the algorithm are based on clustering the solar insolation values and then applying a genetic algorithm optimisation to indicate the optimum BIPV array layout for maximum yield.…"
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433
New efficient frequency domain algorithm for H∞approximation with applications to controller reduction
منشور في 2001"…The new algorithm is used to obtain reduced order controllers for a well known control problem…"
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article -
434
A Dynamic Programming Algorithm For Days-Off Scheduling With Sequence Dependent Labor Costs
منشور في 2020"…This paper presents a dynamic programming (DP) algorithm for solving a labor scheduling problem with several realistic days-off scheduling constraints and a cost structure that depends on the work sequence for each employee. …"
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article -
435
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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احصل على النص الكامل
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article -
436
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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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
437
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438
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
منشور في 2021"…This proves the validity of using 2D descriptors to accurately identify appliances and create new perspectives for the NILM problem.…"
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439
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440
KNNOR: An oversampling technique for imbalanced datasets
منشور في 2021"…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. However, if the training data is not balanced among different classes, the performance of ML models deteriorate heavily. …"