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61
Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
Published 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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62
One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models
Published 2016“…These techniques are combined with ARMA models and nonlinear autoregressive neural network (NARnet) models, respectively. …”
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63
An algorithm for solving bond pricing problem
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64
Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review
Published 2023“…</p><h3>Conclusions </h3><p dir="ltr">This review presents an overview of studies based on AI models and algorithms used to predict and diagnose pancreatic cancer patients. …”
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65
Towards a self-powering greenhouse using semi-transparent PV: Utilizing hybrid BESS-hydrogen energy storage system
Published 2025“…Second, by employing a comprehensive approach with the GBO algorithm, the research examines various scenarios as a multi-objective optimization problem, balancing economic considerations such as net present value (NPV) and energy dependency (ED). …”
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66
Squirrel Search Algorithm for Portfolio Optimization
Published 2019“…However, the successes of nature-inspired algorithms in hard computational optimization problems have encouraged researchers to design and apply these algorithms for a variety of optimization problems. …”
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masterThesis -
67
FAILURE RATE ANALYSIS OF BOEING 737 BRAKES EMPLOYING NEURAL NETWORK
Published 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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68
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
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doctoralThesis -
69
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…The proposed algorithm out performed fairly well the results that exists from previous studies. …”
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70
Predicting business cycle turning points with neural networks in an information-poor economy
Published 2007“…A feedforward neural network model is used to forecast turning points in the business cycle of postwar Lebanon. …”
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71
The Role of KM in Enhancing AI Algorithms and Systems
Published 2020“…Knowledge Management processes present a vital role in improving AI systems and algorithms. …”
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72
Parallel genetic algorithm for disease-gene association
Published 2011“…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. …”
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73
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
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doctoralThesis -
74
NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM
Published 2020“…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …”
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75
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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76
Particle swarm optimization algorithm: review and applications
Published 2024“…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. …”
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77
Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
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doctoralThesis -
78
Formal synthesis of VLSI layouts from algorithmic specifications
Published 2020“…This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …”
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79
Neural network-based failure rate prediction for De Havilland Dash-8 tires
Published 2006“…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …”
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80
Belief selection in point-based planning algorithms for POMDPs
Published 2017“…We study three methods designed to improve point-based value iteration algorithms. …”
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