بدائل البحث:
modelling algorithm » scheduling algorithm (توسيع البحث)
best algorithm » deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
develop » developed (توسيع البحث)
modelling algorithm » scheduling algorithm (توسيع البحث)
best algorithm » deer algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
develop » developed (توسيع البحث)
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61
Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory
منشور في 2025الموضوعات: -
62
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. …"
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63
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64
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. …"
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article -
65
Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain
منشور في 2017"…The VIIRS Environmental Data Record data (VIIRS_EDR) is produced operationally by NOAA, and is based on the MODIS atmospheric correction algorithm. …"
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66
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
منشور في 2022"…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"
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67
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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68
Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning
منشور في 2023الموضوعات: -
69
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70
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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article -
71
Topics in graph algorithms
منشور في 2003"…Coping with computational intractability has inspired the development of a variety of algorithmic techniques. …"
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masterThesis -
72
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73
Information reconciliation through agent controlled graph model. (c2018)
منشور في 2018"…Multiple models have been proposed and different techniques and data structures were used. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
74
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75
Optimizing Energy Consumption of Cloud Computing IaaS
منشور في 2017احصل على النص الكامل
doctoralThesis -
76
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77
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. …"
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78
Cortical EEG Source Localization of Focal Epilepsy
منشور في 2017احصل على النص الكامل
doctoralThesis -
79
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80
Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
منشور في 2023"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"