Search Results - (( developing equation clustering algorithm ) OR ( java implementation path algorithm ))

Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

“…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

Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…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

Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…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

Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…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

A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption by Nurnajmin Qasrina Ann, Ayop Azmi

“…The research starts with developing the hybrid deep learning model consisting of DNN and a K-Means Clustering Algorithm. …”
Get full text
Get full text

Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem by Bahri, Susila

“…By using finite difference approximation, quasigeostrophic vorticity equations and thermodynamic equations are used to develop forecasting equations for each level. …”
Get full text
Get full text

The AGEB Algorithm for Solving Heat Equation in Two Space Dimensions and Its Parallelization on a Distributed Memory Machine by Alias, Norma, Sahimi, Mohamed Salleh, Abdullah, Abdul Rahman

Get full text
Get full text

Development and usage of self-organising maps in high energy physics analysis with high performance computing / Mohd Adli Md Ali by Mohd Adli , Md Ali

“…Thus, development of an SOM algorithm for high energy physics datasets was performed. …”
Get full text
Get full text

Application Of Higher Order Compact Finite Difference Methods To Problems In Fluid Dynamics by Yap, Wen Jiun

“…These unknowns are solved explicitly with Hermitian relations that relate the variables and its spatial derivatives. The numerical algorithms are first developed for viscous Burgers' equation on uniform and clustered grids. …”
Get full text
Get full text

The AGEB algorithm for solving the heat equation in two space dimensions and its parallelization on a distributed memory machine by Alias N., Sahimi M.S., Abdullah A.R.

Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

“…Each web services are easily maintainable since there is loose coupling between interacting nodes. The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
Get full text
Get full text
Get full text

The parallelization of the Keller box method on heterogeneous cluster of workstations by Hamzah, Norhafizah, Alias, Norma, Saidina Amin, Norsarahaida

“…The objective is to develop the parallel algorithm of the Keller-box method in purpose to solve a large size of matrix. …”
Get full text
Get full text
Get full text

Efficient 3D temperature propagation for laser glass interaction by Alias, Norma, Shahril, Rosdiana, Islam, Md. Rajibul, Satam, Noriza, Darwis, Roziha

“…A new algorithm in the class of the AGE method is for developed to solve the heat equation in 3 space dimensions laser glass model problem. …”
Get full text
Get full text
Get full text

Integrating type-2 fuzzy logic system with fuzzy C-means clustering for weather prediction by Soozaei, Ahmad Shahi

“…The proposed method is based on combination of statistic equation with Fuzzy C-Mean (FCM) clustering and Type-2 fuzzy logic system (Type-2 FLS) with gradient descent algorithm. …”
Get full text
Get full text

Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
Get full text
Get full text

Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms by Choong, Chun Sern

“…The ensemble learning technique, changes of activation function in Neural Network as well as the unsupervised learning (k-means clustering algorithm and Friis Transmission Equation) was also applied to classify the multiclass classification in pallet-level. …”
Get full text
Get full text

Relationship between tiktok usage and youth well-being involving personality characteristics by Tang, Lian

“…Data analysis was performed in accordance with structural equation modelling via Smart-PLS software and Statistical Package for the Social Sciences software. …”
Get full text
Get full text

Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques by Googhari, Shahram Karimi

“…The ANFIS models were built using the Fuzzy Toolbox of MATLAB. The Subtractive Clustering (SC) technique was employed to find the optimal number of rules. …”
Get full text
Get full text