بدائل البحث:
sampling algorithm » scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
sampling algorithm » scheduling algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
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61
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62
Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
منشور في 2019"…The results are of great significance as the real data of an IPP is used and imply that the performance of PSO is better than that of GA in case of CEED for finding the optimal solution concerning fuel cost, emission, convergence characteristics, and computational time. …"
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63
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64
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
منشور في 2022"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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65
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"
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66
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67
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68
Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
منشور في 2020"…The data analytics maturity model is used as the conceptual model for evaluating both data analytics and data governance in this research. …"
احصل على النص الكامل
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69
Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
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70
Information warfare recovery-fighting back through the matrix. (c2012)
منشور في 2012احصل على النص الكامل
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masterThesis -
71
C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments
منشور في 2023"…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. …"
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احصل على النص الكامل
احصل على النص الكامل
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72
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73
Correlation Clustering with Overlaps
منشور في 2020"…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
74
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
منشور في 2023"…Therefore, the suggested approach finds the main hole in undersea systems and fills it using robotic automation. …"
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75
Defining quantitative rules for identifying influential researchers: Insights from mathematics domain
منشور في 2024"…These rules are based on measurable quantities that can easily be applied to a researcher's quantitative data. Various search engines, like Google Scholar, Semantic Scholar, Web of Science etc. …"
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76
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77
Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review
منشور في 2023"…Most of the included articles used data sets with a size of <1000 samples (11/30, 37%). Deep learning models were the most prominent branch of AI used for pancreatic cancer diagnosis in the studies, and the convolutional neural network was the most used algorithm (18/30, 60%). …"
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78
Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
منشور في 2020"…A special consideration was given to data pre-processing and dimensionality reduction such Chi Squared (CS) and Recursive Feature Elimination (RFE) to improve progressively the proposed models performance. …"
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79
Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar
منشور في 2022"…The performance of the algorithms was studied using WorldView-3 data, which provided the R2 values of 60% and the best suitability of the NDCI algorithm and MSI data to map the concentration of Chl-a. …"
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80