Search Results - (( java implementation path algorithm ) OR ( knowledge using nonlinear algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control
Published 2016“…The THF-NLFXLMS method is extended here for Wiener-Hammerstein model. Using this method, the need for the knowledge of the degree of nonlinearity in advance can be avoided. …”
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Automated Model Generation Approach Using MATLAB
Published 2011“…The aim of the chapter is to introduce a self-tuning algorithm (i.e., AMG) using MATLAB for automated analogue circuit modelling suitable for HLM and HLFM applications. …”
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Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
Published 2018“…This study showed the task of optimizing the topology structure and the parameter values (e.g., weights) used in the BPNN learning algorithm by using the GA. …”
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Effect of nonlinear resource allocation on AIRS classifier accuracy
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Effect of nonlinear resource allocation on AIRS classifier accuracy
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Extended Haar Wavelet Quasilinearization method for solving boundary value problems / Nor Artisham Che Ghani
Published 2018“…Moreover, to the best of our knowledge, only a few works are dedicated to the numerical solution of coupled nonlinear ordinary differential equations. …”
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Construction of Cryptographically Strong S-Boxes Inspired by Bee Waggle Dance
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Modeling of flood water level prediction using NNARX / Fazlina Ahmat Ruslan
Published 2015“…It is established that a valid nonlinear multivariable case study is presented by the process plant via a systematic experiment conducted to justify the adopted nonlinear system identification. …”
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Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
Published 2015“…It is established that a valid nonlinear multivariable case study is presented by the process plant via a systematic experiment conducted to justify the adopted nonlinear system identification. …”
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Integrated attitude determination and control system via magnetic measurements and actuation
Published 2011“…A nonlinear control scheme using a Modified State-Dependent Riccati Equation (MSDRE) is developed through a pseudo-linearization of spacecraft augmented nonlinear dynamics and kinematics. …”
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XCOA-MLP: Extended Coyote Optimization Algorithm for training neural networks in medical data classification
Published 2025“…This study proposes XCOA-MLP, a multilayer perceptron trained using an improved coyote optimization algorithm (XCOA). …”
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An Algorithmic Approach for Stability of an Autonomous System
Published 2002“…This calls for user friendly tools for the non-mathematicians to use in order to answer their problem at hand. …”
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Fuzzy modelling for reboiler system
Published 2002“…Fuzzy system's ability of providing both heuristic knowledge with quantitative and accurate representation has been exploited for identification of nonlinear and complex system. …”
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