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Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Using the dynamic programming algorithm developed, the model was also able to recalculate alternative schedules by replacing unavailable teams with other teams to avoid delays. …”
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Optimization of operational policies for the Minab Reservoir, Southern Iran
Published 2012“…To solve the shortage of water during drought, the Limiting Hedging Rules model and Genetic Algorithm (GA) were developed to determine the optimal allocation for agricultural demand. …”
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Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance
Published 2019“…This study attempts to integrate a forecasting model for reservoir inflow and evaporation with the operation rules generated from optimization models during the simulation procedure. …”
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SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…Thus, this study aims to develop an algorithm for model selection in multiple equations focusing on seemingly unrelated regression equations (SURE) model. …”
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Evaluation of optimal MLP structure for heart disease diagnosis / Salbiah Ab Hamid
Published 2010“…This ANN model is developed to facilitate heart disease diagnosis.…”
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Development of improved metaheuristic algorithms for modelling and control of a flexible manipulator system
Published 2019“…The developed algorithms are formulated based on a spiral model approach and a sine model approach. …”
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Research Report -
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Job shop rescheduling using a hybrid artificial immune system and genetic algorithm model
Published 2012“…This paper discusses on developing a hybrid model to tackle the problem of changing environment in the job shop scheduling problem.The main idea is to develop building blocks of partial schedules using the model developed that can be used to provide backup solutions when disturbances occur during production.This model hybridizes genetic algorithm (GA) with artificial immune systems (AIS) techniques to generate these partial schedules.Each partial schedule, also known as antibody, is assigned a fitness value for the selection of final population of best partial schedules. …”
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Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
Published 2019“…An accurate forecasting model would be helpful in providing a warning of impending flood during the flooding time and assist in regulating reservoir outflows during the low flows. …”
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Motion control algorithm development and testing for a free-piston engine generator
“…This research aims objectives to construct simulation model of a free-piston linear generator for piston motion control algorithm development and testing on a linear actuators prototype. …”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…Instead of solving the original optimal control problem, the model-based optimal control problem is solved. The algorithm developed in this thesis contains three sub-algorithms. …”
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Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mar...
Published 2022“…The object detection machine learning model used in this project is Single Shot Detector (SSD) algorithm. …”
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Book Section -
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Application of artificial neural network to simulate phenolic content and antioxidant activity during spontaneous fermentation of Carica papaya leaf / Nur Syahira Mohammad and Moha...
Published 2020“…Trial and error method were used to develop the ANN model. The transfer function used in this research project was hyperbolic tangent sigmoid with the Levenberg- Marquadt algorithm training function. …”
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Mobile machine vision for railway surveillance system using deep learning algorithm
Published 2021“…In this paper, object detection model is developed and implemented with deep learning algorithm. …”
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Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
Published 2010“…In this technique, a mathematical model has been developed between the cutting parameters and the instability frequency of the chip serration based on response surface methodology and the model is verified by fuzzy logic with genetic algorithm.…”
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Neural Networks Ensemble: Evaluation of Aggregation Algorithms for Forecasting
Published 2013“…The outputs from the individual NN models were combined by four different aggregation algorithms in NNs ensemble. …”
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A collaborative model for post flood activities exploiting an enhanced expanding neighborhood search algorithm
Published 2019“…The comparative study demonstrates the performance of the proposed model improves 30% compared to the existing model. …”
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