بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
using algorithms » cosine algorithm (توسيع البحث)
ree algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث)
elements ree » elements _ (توسيع البحث), elementi per (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
using algorithms » cosine algorithm (توسيع البحث)
ree algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث)
elements ree » elements _ (توسيع البحث), elementi per (توسيع البحث)
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Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare
منشور في 2007"…With all the preventive methods, malicious users still find new methods that overcome the system security, and access and modify the sensitive information. To make the process of damage assessment and recovery fast and efficient and in order not to scan the whole log, researchers have proposed different methods for segmenting the log, and accordingly presented different damage assessment and recovery algorithms. …"
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article -
63
Mapping realistic data sets on parallel computers
منشور في 1993"…The GC algorithm allows large-scale mapping to become efficient, especially when slow but high-quality mappers are used.…"
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conferenceObject -
64
Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
منشور في 2020"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
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65
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66
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67
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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article -
68
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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FarmTech: Regulating the use of digital technologies in the agricultural sector
منشور في 2023"…<p dir="ltr">Farming relies on the accurate collection and processing of data. Algorithms utilizing artificial intelligence can predict patterns and spot problems, helping farmers make more informed decisions. …"
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72
Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019"…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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73
Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
منشور في 2022"…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …"
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74
Recent Advances of Chimp Optimization Algorithm: Variants and Applications
منشور في 2023"…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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75
A hybrid graph representation for recursive backtracking algorithms
منشور في 2017"…The use of efficient data structures is necessary for fast graph modification modules as well as fast take-back procedures. …"
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conferenceObject -
76
The effects of data balancing approaches: A case study
منشور في 2023"…In this article, we present a case study approach for investigating the effects of data balancing approaches. The case study concerns the discrimination between growth hormone treated and non-treated animals using Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) data. …"
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77
Data redundancy management for leaf-edges in connected environments
منشور في 2022"…Although the sensed data could be useful for various applications (e.g., event detection in cities, energy management in commercial buildings), it first requires pre-processing to clean various inconsistencies (e.g., anomalies, redundancies, missing values). …"
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article -
78
A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization
منشور في 2021"…The large amount of data represented as a network, or graph, sometimes exceeds the resources of a conventional computing device. …"
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masterThesis -
79
Data reductions and combinatorial bounds for improved approximation algorithms
منشور في 2016"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
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article -
80
Distributed dimension reduction algorithms for widely dispersed data
منشور في 2002احصل على النص الكامل
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conferenceObject