بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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1
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…In this paper, the proposed algorithm selects relevant observations from the original data set by utilizing a class interval technique (i.e. histogram) to maintain a bunch of representative samples from each bin. …"
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2
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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3
Large language models for code completion: A systematic literature review
منشور في 2024"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …"
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4
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5
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …"
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6
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7
Auto-indexing Arabic texts based on association rule data mining. (c2015)
منشور في 2015"…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
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masterThesis -
8
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9
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10
Correlation Clustering via s-Club Cluster Edge Deletion
منشور في 2023"…Cluster Editing, a known model for correlation clustering, has garnered significant consideration in the parameterized complexity area and has been utilized in a range of practical contexts. …"
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masterThesis -
11
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
منشور في 2023"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"
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12
Mining airline data for CRM strategies. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
13
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …"
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14
Indexing Arabic texts using association rule data mining
منشور في 2019"…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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15
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16
Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
منشور في 2022"…<p>The complex future power plants require digital twin (DT) architecture to achieve high reliability, availability and maintainability at lower cost. …"
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17
A decoding algorithm for I-Q space-time coded systems in fadingenvironments
منشور في 2000"…It is based on symbol-by-symbol detection of the Q/I components in the I/Q decoders. Simulation results showed that I-Q ST codes with the new algorithm provide coding gains over ST codes having the same complexity but with a single encoder…"
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18
Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"
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19
Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter
منشور في 2019"…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …"
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20
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis