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modeling algorithm » scheduling algorithm (Expand Search)
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61
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …”
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62
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63
Autonomous Vehicles Delivery Systems: Analyzing Vehicle Routing Problems with a Moving Depot
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doctoralThesis -
64
Cross entropy error function in neural networks
Published 2002“…The second model is a trivariate model based on GC, price and car registration time series. …”
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conferenceObject -
65
Oversampling techniques for imbalanced data in regression
Published 2024“…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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66
Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Published 2023“…The proposed ANN based algorithm has been used for unswerving petite term forecasting. …”
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67
Online Control and Optimization of Directional Drilling
Published 2020“…The bit wear is mathematically represented using Bourgoyne model. Secondly, the autonomous quad-rotor DSS which has 4 downhole motors, is considered. …”
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masterThesis -
68
UML-based regression testing for OO software
Published 2010“…In the first phase, we select both unit and system test cases that directly traverse the changed methods and their calling methods. For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …”
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69
A pragmatic approach for testing robustness on real-time component based systems
Published 2005“…Each tester is dedicated to test a single SUT component. A test execution algorithm with an approach to handle testers coordination and execution delay is presented. …”
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conferenceObject -
70
Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
Published 2020Get full text
doctoralThesis -
71
Defense against adversarial attacks: robust and efficient compressed optimized neural networks
Published 2024“…This enhancement significantly fortifies the model's resistance to adversarial attacks by introducing complexity into attackers' attempts to anticipate the model's prediction integration process. …”
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72
Combined cycle gas turbine system optimization for extended range electric vehicles
Published 2020“…Second, a series-hybrid extended range vehicle model is developed, to assess the consumption savings of the prioritized combined cycle on the Worldwide Harmonized Light Vehicle Test Cycle. …”
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73
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…In the second stage, targeting the “Good Outcome” group, the Random Forest model reached 88% accuracy, while in the third stage, it achieved 86% accuracy for the “Poor Outcome” group. …”
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74
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
Published 2022“…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …”
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75
CEAP
Published 2016“…To tackle these challenges, we propose a multi-decision intelligent detection model called CEAP that complies with the highly mobile nature of VANET with increased detection rate and minimal overhead. …”
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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
Published 2017Get full text
doctoralThesis -
78
Developing an online hate classifier for multiple social media platforms
Published 2020“…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …”
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79
Prototype project management tool (PPMT) with cocomo calibration. (c1998)
Published 1998Get full text
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masterThesis -
80
Active distribution network type identification method of high proportion new energy power system based on source-load matching
Published 2023“…Firstly, the typical daily output scenarios of DG are extracted by clustering method, and the generalized load curve model is solved by the optimization algorithm to obtain the source load operation data; Secondly, calculate the source-load matching indicators (including matching performance, matching degree, and matching rate) according to the source load data of each region, and identify the distribution network type according to the range of the index values; Finally, several indicators are introduced to quantify the characteristics of different types of distribution networks. …”
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