Search Results - (( process iteration method algorithm ) OR ( java location based algorithm ))
Search alternatives:
- process iteration »
- iteration method »
- method algorithm »
- java »
-
1
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…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
Conference or Workshop Item -
2
-
3
Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
Published 1993“…The double iterative loop structures of the proposed algorithms use the real process measurement within the outer loops while the inner loops involve model based computation only. …”
Get full text
Get full text
Article -
4
Multiple equations model selection algorithm with iterative estimation method
Published 2016“…There have been various procedures suggested to date, whether through manual or automated selections, to choose the best model.This study nonetheless focuses on an automated selection for multiple equations model with the use of iterative estimation method. In particular, an algorithm on model selection for seemingly unrelated regression equations model using iterative feasible generalized least squares estimation method is proposed. …”
Get full text
Get full text
Get full text
Article -
5
Implementation of the Explicit Group Iterative Method for Solving Image Blurring Problem using Non-Linear Diffusion Equations
Published 2018“…The solutions of diffusion equations were obtained using the iterative algorithms and thereafter applied in the image blurring processes. …”
Get full text
Get full text
Get full text
Article -
6
Solving Blasius equation using semi analytic iterative method / Nurul Atikah Halmi and Nur Azyyati Ayob
Published 2018Get full text
Get full text
Student Project -
7
Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches
Published 2015“…If iteration available is long, method 3+0+0 is more appropriate, otherwise method 2+1+0 is the best choice. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
8
Improved Fast Fuzzy C-Means Algorithm for Medical MR Images Segmentation
Published 2008“…This method fetches in statistic histogram information for minimizing the iteration times, and in the iteration process, the optimal number of clusters is automatically determined. …”
Get full text
Get full text
Article -
9
-
10
Image Fusion for Travel Time Tomography Inversion
Published 2015“…We presented an imaging fusion method based on improved Wilkinson iteration method. …”
Get full text
Get full text
Article -
11
Model selection approaches of water quality index data
Published 2016“…Automatic model selection by using algorithm can avoid huge variability in model specification process compared to manual selection.With the employment of algorithm, the right model selected is then also used for forecasting purposes. …”
Get full text
Get full text
Get full text
Article -
12
Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim
Published 2025“…For one-guess method, Shooting Method with Improved Ostrowski Method is the best method as it achieves the lowest error, fastest CPU time, and fewest iterations. …”
Get full text
Get full text
Thesis -
13
-
14
Proportional-integral control optimization using imperialist competitive algorithm
Published 2012“…ICA is one of the newest computational algorithms that emulate the process of imperialistic competition. …”
Get full text
Get full text
Thesis -
15
Studies on flat CORDIC implementation in field programmable gate arrays (FPGA) / Meera Subramaniam
Published 2004“…It is an iterative process of rotations that are carried out through simple shift and addition operations. …”
Get full text
Get full text
Thesis -
16
Optimising neural network training efficiency through spectral parameter-based multiple adaptive learning rates
Published 2024“…Most optimization algorithms use a !xed learning rate or a simpli!ed adaptive updating scheme in every iteration. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
17
Group formation using genetic algorithm
Published 2009“…However, due to lack of programming skills especially in Java programming language and the inability to have meetings frequently among the group members,most of the students’ software project cannot be delivered successfully.To solve this problem, systematic group formation is one of the initial factors that should be considered to ensure that every group consists of quality individuals who are good in Java programming and also to ensure that every group member in a group are staying closer to each other.In this research, we propose a method for group formation using Genetic Algorithms, where the members for each group will be generated based on the students’ programming skill and location of residential colleges.…”
Get full text
Get full text
Get full text
Get full text
Monograph -
18
Texture edge smoothing and sharpening algorithm based on iterative nonlocal guided model
Published 2025“…These results surpass traditional methods, offering a balanced trade-off between edge preservation and noise reduction.…”
Get full text
Get full text
Get full text
Get full text
Article -
19
Multi-floor indoor location estimation system based on wireless local area network
Published 2007“…The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. Estimated location is reported as physical location and symbolic location. …”
Get full text
Get full text
Thesis -
20
A New Probabilistic Output Constrained Optimization Extreme Learning Machine
Published 2023“…Benchmarking; Classification (of information); Constrained optimization; Decision making; Electric power systems; Iterative methods; Knowledge acquisition; Learning algorithms; Pattern recognition; Probability; Confidence threshold; Decision making process; Extreme learning machine; Machine learning approaches; Pattern classification problems; Post-processing procedure; Power system applications; Probabilistic output; Machine learning…”
Article
