Search Results - (( java applications mobile algorithm ) OR ( variable estimation method algorithm ))
Search alternatives:
- applications mobile »
- variable estimation »
- java applications »
- estimation method »
- mobile algorithm »
- method algorithm »
-
1
-
2
Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…The proposed method inherits the robustness properties of the original RFCH estimators. …”
Get full text
Get full text
Thesis -
3
SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…Besides, mobile phone that able to run J2ME application is being chosen because it was designed specifically for mobile devices which support small memory footprint and low power consumption.…”
Get full text
Get full text
Conference or Workshop Item -
4
Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…There are many types of motion estimation method but the most used method is the block matching method which is the fixed block matching and the variable block matching. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
5
Encrypted mobile messaging application using AES block cipher cryptography algorithm / Nur Rasyiqah Zulkifli
Published 2019“…Nowadays, people mostly use mobile application to communicate with each other. …”
Get full text
Get full text
Student Project -
6
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
Get full text
Get full text
Thesis -
7
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013Get full text
Get full text
Conference or Workshop Item -
8
Railway wheelset parameter estimation using signals from lateral velocity sensor
Published 2008“…The algorithm includes an instrumental variable (IV) element to reduce estimation bias and a variable forgetting factor for good parameter tracking and smooth steady state. …”
Get full text
Get full text
Get full text
Article -
9
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Subjects:Conference paper -
10
Parameter estimation of a continuous-time plant – the least-absolute error with variable forgetting factor method
Published 2005“…The algorithm includes an instrumental variable (IV) element to reduce estimation bias and a variable forgetting factor for good parameter tracking and smooth steady state.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
11
Robust Estimation Methods And Outlier Detection In Mediation Models
Published 2010“…The Ordinary Least Squares (OLS) method is often use to estimate the parameters of the mediation model. …”
Get full text
Get full text
Thesis -
12
Route Optimization System
Published 2005“…The potential for this project to be propagated on a mobile platform can also be considered due to its Java platform.…”
Get full text
Get full text
Final Year Project -
13
Text messaging encryption system
Published 2012Get full text
Get full text
Undergraduates Project Papers -
14
Robust variable selection methods for large- scale data in the presence of multicollinearity, autocorrelated errors and outliers
Published 2016“…The results signify that our proposed RNGVS.RFCH method able to correctly select the important variables in the final model. …”
Get full text
Get full text
Thesis -
15
Bayesian logistic regression model on risk factors of type 2 diabetes mellitus
Published 2016“…The significant variables determined by maximum likelihood method were then estimated using the BLR method. …”
Get full text
Get full text
Thesis -
16
Model selection approaches of water quality index data
Published 2016“…In order to select the best model, it is vital to ensure that proper estimation method is chosen in the modelling process.Different estimators have been proposed for the estimation of parameters of a model, including the least square and iterative estimators.This study aims to evaluate the forecasting performances of two algorithms on water quality index (WQI) of a river in Malaysia based on root mean square error (RMSE) and geometric root mean square error (GRMSE).Feasible generalised least squares (FGLS) and iterative maximum likelihood (ML) estimation methods are used in the algorithms, respectively.The results showed that SUREMLE-Autometrics has surpassed SURE-Autometrics; another simultaneous selection procedure of multipleequation models.Two individual selections, namely Autometrics-SUREMLE and Autometrics-SURE, though showed consistency only for GRMSE.All in all, ML estimation is a more appropriate method to be employed in this seemingly unrelated regression equations (SURE) model selection.…”
Get full text
Get full text
Get full text
Article -
17
Visdom: Smart guide robot for visually impaired people
Published 2025“…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
18
Control of IC Engine: Design a Novel MIMO Fuzzy Backstepping Adaptive Based Fuzzy Estimator Variable Structure Control.
Published 2011“…This paper expands a Multi Input Multi Output (MIMO) fuzzy estimator variable structure control (VSC) which controller coefficient is on-line tuned by fuzzy backstepping algorithm. …”
Get full text
Get full text
Article -
19
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006Get full text
Get full text
Monograph -
20
Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)
Published 2021“…Hence, this study concentrates on an automated model selection procedure for the SURE model by integrating the expectation-maximization (EM) algorithm estimation method, named SURE(EM)-Autometrics. …”
Get full text
Get full text
Monograph
