Search Results - (( developing state modeling algorithm ) OR ( java application learning algorithm ))
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Hybrid DE-PEM algorithm for identification of UAV helicopter
Published 2014“…Design/methodology/approach – In this study, flight data were collected and analyzed; MATLAB-based system identification algorithm was developed using DE and PEM; parameterized state-space model parameters were estimated using the developed algorithm and model dynamic analysis. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
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Multi-state PSO GSA for solving discrete combinatorial optimization problems
Published 2016“…The multistate model is then implemented in PSO and GSA. As a consequence, multi-state particle swarm optimization (MSPSO) and multi-state gravitational search algorithm (MSGSA) are developed. …”
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Stochastic optimal control of economic growth model under research and development investment with Kalman filtering approaches
Published 2022“…These approaches aim to estimate the state dynamics from different perspectives. With these state estimates, two different computational algorithms are proposed, the EKF for state-control (EKF4SC) and UKF for state-control (UKF4SC) algorithms. …”
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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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Thesis -
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Fuzzy state space modeling for solving inverse problems in multivariable dynamic systems
Published 2005“…The main objective of this study is to develop a novel inverse modeling technique, known as Fuzzy State Space Model (FSSM). …”
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Thesis -
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Parameter estimation of multivariable system using Fuzzy State Space Algorithm / Razidah Ismail … [et al.]
Published 2011“…The main feature of the model is the development of the Fuzzy State Space Algorithm (FSSA) for determination of input parameters that can be applied to any multivariable dynamic system. …”
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Research Reports -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Thesis -
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State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
Published 2023Conference Paper -
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…The purpose is benefitting from the synergies obtained from combining these technologies for the development of classification models. Such a combination creates an opportunity to invest in the strength of each algorithm, and is an approach to make up for their deficiencies. …”
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Verification of correctness properties for aggregation behavior of swarm robotics system using spin model checker / Siti Shafinaz Ali
Published 2015“…From FSM aggregation behavior algorithms is built for robot swarms. Model checking is a technique that was originally developed for verifying that finite state of the concurrent systems that implement specifications expressed in temporal logic. …”
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Thesis -
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Verification correctness properties for aggregation behavior of swarm robotics system using SPIN model checker / Siti Shafinaz Ali
Published 2015“…From FSM aggregation behavior algorithms is built for robot swarms. Model checking is a technique that was originally developed for verifying that finite state of the concurrent systems that implement specifications expressed in temporal logic. …”
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Thesis -
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Optimal neural network approach for estimating state of energy of lithium-ion battery using heuristic optimization techniques
Published 2023Conference Paper -
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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System identification of parameterized state-space model of a small scale UAV helicopter
Published 2012“…Prediction Error Modeling (PEM) algorithm has been identi�ed as an e�ective system identi�cation technique. …”
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Proceeding Paper -
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Advanced online battery states coestimation using Kalman filter for electric vehicle Applications / Prashant Shrivastava
Published 2021“…A new dual forgetting factor-based adaptive extended Kalman filter (DFFAEKF) algorithm to concurrently estimate the electrical equivalent circuit model parameters and SOC at high accuracy is first developed. …”
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Thesis -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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