Search Results - (( java implementation path algorithm ) OR ( parameter application during algorithm ))
Search alternatives:
- parameter application »
- java implementation »
- implementation path »
- application during »
- during algorithm »
- path algorithm »
-
1
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. …”
Get full text
Get full text
Thesis -
2
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. …”
Get full text
Get full text
Thesis -
3
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. …”
Get full text
Get full text
Get full text
Get full text
Article -
4
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. …”
Get full text
Get full text
Thesis -
5
-
6
-
7
Parameter-Less Simulated Kalman Filter
Published 2017Get full text
Get full text
Get full text
Article -
8
Dynamic obstacle handling in multi-robot coverage
Published 2024Get full text
Get full text
Final Year Project / Dissertation / Thesis -
9
Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…The output is measured from the model and used to adapt the adjustable parameters. During the iterative procedure, the differences between the real plant and the model used are captured by the adjustable parameters. …”
Get full text
Get full text
Thesis -
10
-
11
-
12
-
13
Local search manoeuvres recruitment in the bees algorithm
Published 2011Get full text
Get full text
Get full text
Conference or Workshop Item -
14
Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle
Published 2023“…This paper presents the application of a recent metaheuristic algorithm namely Evolutionary Mating Algorithm (EMA) for optimizing the Deep Learning (DL) parameters to estimate the state of charge (SOC) of a battery for an electric vehicle in the real environment. …”
Get full text
Get full text
Get full text
Get full text
Article -
15
Finite impulse response optimizers for solving optimization problems
Published 2019“…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
Get full text
Get full text
Thesis -
16
Finite impulse response optimizers for solving optimization problems
Published 2019“…Selecting optimal parameters’ values may improve an algorithm’s performance. …”
Get full text
Get full text
Thesis -
17
Application of conjugate gradient approach for nonlinear optimal control problem with model-reality differences
Published 2018“…In conclusion, the applicability of the algorithm proposed is highly recommended.…”
Get full text
Get full text
Get full text
Article -
18
Application of conjugate gradient approach for nonlinear optimal control problem with model-reality difference
Published 2018“…In conclusion, the applicability of the algorithm proposed is highly recommended.…”
Get full text
Get full text
Get full text
Article -
19
Parameter characterization of PEM fuel cell mathematical models using an orthogonal learning-based GOOSE algorithm
Published 2025“…Furthermore, the design of the FCs significantly impacts simulation studies, which are crucial for various technological applications. This study proposed an improved parameter estimation procedure for PEMFCs by using the GOOSE algorithm, which was inspired by the adaptive behaviours found in geese during their relaxing and foraging times. …”
Article -
20
