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81
Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
منشور في 2023"…First, an analytical model based on mass and energy balance and a data-driven model based on an artificial neural network is developed, and their prediction performance is compared. …"
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82
One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models
منشور في 2016"…These techniques are combined with ARMA models and nonlinear autoregressive neural network (NARnet) models, respectively. …"
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article -
83
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84
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis -
85
FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK
منشور في 2007"…., Boeing 737, is analyzed using the artificial neural network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. …"
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article -
86
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87
An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models
منشور في 2024"…To address these challenges, a claim management system is developed based on the Improved Monarch Butterfly Optimization Algorithm (IMBOA) and the principles of EPC. …"
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88
Predicting business cycle turning points with neural networks in an information-poor economy
منشور في 2007"…A feedforward neural network model is used to forecast turning points in the business cycle of postwar Lebanon. …"
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conferenceObject -
89
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
منشور في 2024احصل على النص الكامل
doctoralThesis -
90
Parallel Algorithm for Hardware Implementation of Inverse Halftoning
منشور في 2005"…The algorithm is based on Lookup Tables from which the inverse halftone value of a pixel is directly determined using a pattern of pixels. …"
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article -
91
Empirical comparison of regression test selection algorithms
منشور في 2001"…In the maintenance phase, the regression test selection problem refers to selecting test cases from the initial suite of test cases used in the development phase. In this paper, we empirically compare five representative regression test selection algorithms, which include: Simulated Annealing, Reduction, Slicing, Dataflow, and Firewall algorithms. …"
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article -
92
Parallel algorithm for hardware implementation of inverse halftoning
منشور في 2005"…The algorithm is based on lookup tables from which the inverse halftone value of a pixel is directly determined using a pattern of pixels. …"
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article -
93
Defense against adversarial attacks: robust and efficient compressed optimized neural networks
منشور في 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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94
Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study
منشور في 2020"…An online maximum likelihood based-identification algorithm is developed. The required hardware and system instrumentation are detailed. …"
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article -
95
Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study
منشور في 2020"…An online maximum likelihood based-identification algorithm is developed.The required hardware and system instrumentation are detailed. …"
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article -
96
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97
An Algorithm For Computing The Distance Between Two Circular Disks
منشور في 2020"…For the case where the points are at the circumferences, the problem has no analytical solutions [IBM J. Res. Develop. 34 (5) (1990)]. Instead, we propose for the latter case an iterative algorithm based on computing the distance between a fixed point and a circle. …"
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article -
98
Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
منشور في 2015احصل على النص الكامل
doctoralThesis -
99
A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
منشور في 2025"…A range of machine learning (ML) methods can be used to recognize facial expressions based on data from small to large datasets. Random Forest (RF) is simpler and more efficient than other ML algorithms. …"
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100
Online dynamic ensemble deep random vector functional link neural network for forecasting
منشور في 2023"…<p>This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). …"