بدائل البحث:
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
involves » involved (توسيع البحث)
element » elements (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
involves » involved (توسيع البحث)
element » elements (توسيع البحث)
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61
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. …"
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62
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63
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64
Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control
منشور في 2021"…The proposed model predictive control framework is flexible and can be applied to other greenhouse systems by tuning the model on the new data set.…"
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65
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66
Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters
منشور في 2021احصل على النص الكامل
doctoralThesis -
67
Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
منشور في 2022"…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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68
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…Our experimental design included Data Collection, Feature Engineering, ML model selection/development, and reporting evaluation of metrics.…"
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69
Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…This work employs machine learning methods to develop and test a technique for dynamic stability analysis of the mathematical model of a power system. A distinctive feature of the proposed method is the absence of a priori parameters of the power system model. …"
احصل على النص الكامل
article -
70
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71
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…However, with the huge increase in data size, sophisticated models have to be created which require big data platforms. …"
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72
Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning
منشور في 2023الموضوعات: -
73
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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74
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75
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76
Information reconciliation through agent controlled graph model. (c2018)
منشور في 2018"…Multiple models have been proposed and different techniques and data structures were used. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
77
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78
Optimizing Energy Consumption of Cloud Computing IaaS
منشور في 2017احصل على النص الكامل
doctoralThesis -
79
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
منشور في 2022الموضوعات: -
80
A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
منشور في 2022"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …"