بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
two algorithms » _ algorithms (توسيع البحث)
cc3d algorithm » rd algorithm (توسيع البحث)
develop » developed (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
two algorithms » _ algorithms (توسيع البحث)
cc3d algorithm » rd algorithm (توسيع البحث)
develop » developed (توسيع البحث)
element » elements (توسيع البحث)
-
61
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. The ANN reliability is directly related to the success of the training process. …"
-
62
-
63
-
64
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…The proposed model was developed and implemented using MATLAB software. A Pareto front was derived from the MOGA by employing the T2FNN within the process, identifying fourteen optimal solutions.…"
-
65
Multi-Objective Co-optimization of Power and Gas under Uncertainties with P2H embedded
منشور في 2022احصل على النص الكامل
doctoralThesis -
66
-
67
-
68
Degree-Based Network Anonymization
منشور في 2020احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
69
Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
منشور في 2018"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
70
-
71
-
72
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. …"
-
73
-
74
-
75
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"
-
76
-
77
-
78
-
79
-
80
Severity-Based Prioritized Processing of Packets with Application in VANETs
منشور في 2019"…In this study, we propose a generic prioritization and resource management algorithm that can be used to prioritize processing of received packets in vehicular networks. …"