Search Results - (( java implementation rsa algorithm ) OR ( using competency based algorithm ))
Search alternatives:
- java implementation »
- implementation rsa »
- using competency »
- competency based »
- rsa algorithm »
-
1
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
Get full text
Get full text
Final Year Project -
2
AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING
Published 2021“…RSA is one of these encryption algorithms that have been implemented in security systems. …”
Get full text
Get full text
Thesis -
3
An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe
Published 2017“…Java programming language is used to implement the algorithm. …”
Get full text
Get full text
Get full text
Article -
4
Secure Image Steganography Using Encryption Algorithm
Published 2016“…A system based on the proposed algorithm will be implemented using Java and it will be more secured due to double-layer of security mechanisms which are RSA and Diffie-Hellman.…”
Get full text
Get full text
Conference or Workshop Item -
5
Digitally signed electronic certificate for workshop / Azinuddin Baharum
Published 2017“…Digital Signature was encrypted by RSA Algorithm, a very powerful asymmetrical encryption. …”
Get full text
Get full text
Thesis -
6
A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions
Published 2025“…Lecturer competency measurement is carried out by first checking employee status using the SVM algorithm with an accuracy value of 72.28%, then using a hybrid SVM and PSO algorithm with an accuracy value of 100%. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
7
Academic leadership bio-inspired classification model using negative selection algorithm
Published 2015“…Managing employee’s competency is considered as the top challenge for human resource professional especially in the process to determine the right person for the right job that is based on their competency.As an alternative approach, this article attempts to propose academic leadership bio-inspired classification model using negative selection algorithm to handle this issue.This study consists of three phases; data preparation, model development and model analysis. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
8
Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification
Published 2024“…Recently, the swarm-based hybrid algorithms have given significant performance in cancer classification. …”
Get full text
Get full text
Get full text
Article -
9
Competing risks for reliability analysis using Cox’s model
Published 2007“…This paper seeks to show that, with a large sample size based on expectation maximization (EM) algorithm, both models give similar results. …”
Get full text
Get full text
Get full text
Article -
10
Furniture form innovation and human–machine comfort evaluation model based on genetic algorithm
Published 2024“…This research explores the Pareto-primarily based Genetic Algorithm (PGA) inside this framework, with the goal of fostering innovation in product layout and the generation of novel ideas. …”
Get full text
Get full text
Get full text
Article -
11
Fuzzy adaptive emperor penguin optimizer for global optimization problems
Published 2023“…The Emperor Penguin Optimizer (EPO) is a recently developed population-based metaheuristic algorithm that simulates the huddling behaviour of emperor penguins. …”
Get full text
Get full text
Thesis -
12
Statistical process control for failure crushing time data using competing risks model
Published 2011“…EM algorithm method is used to estimate the parameter of the model. …”
Get full text
Get full text
Get full text
Article -
13
Statistical process control for failure crushing time data using competing risks model.
Published 2011“…EM algorithm method is used to estimate the parameter of the model. …”
Get full text
Get full text
Get full text
Article -
14
Determination of the best single imputation algorithm for missing rainfall data treatment
Published 2016“…The presence of missing rainfall data is inevitable due to error of recording, meteorological extremes and malfunction of instruments. Consequently, a competent imputation algorithm for missing data treatment algorithm is very much needed. …”
Get full text
Get full text
Get full text
Article -
15
Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
Published 2016“…The presence of missing rainfall data is inevitable due to error of recording, meteorological extremes and malfunction of instruments. Consequently, a competent imputation algorithm for missing data treatment algorithm is very much needed. …”
Get full text
Get full text
Get full text
Article -
16
Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling
Published 2022“…It is also discovered that the hybrid-discrete MOPSO (HD-MOPSO) algorithm manages to obtain higher values in the performance metrics consisting of non-dominance ratio and hypervolume compared to the competing algorithms. …”
Get full text
Get full text
Get full text
Thesis -
17
Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation
Published 2020“…Jaya Algorithm (JA) is a new metaheuristic algorithm, has been used for solving different problems. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
A novel clustering algorithm for mobile ad hoc networks based on determination of virtual links’ weight to increase network stability
Published 2014“…In order to improve the stability of clusters, weight-based clustering algorithms are utilized. However, these algorithms only use limited features of the nodes. …”
Get full text
Get full text
Get full text
Article -
19
Cutpoint determination methods in competing risks subdistribution model
Published 2009“…Five cutpoint determination methods are developed based on regression of competing risks subdistribution. …”
Get full text
Get full text
Article -
20
Cutpoint determination methods in competing risks subdistribution model
Published 2009“…Five cutpoint determination methods are developed based on regression of competing risks subdistribution. …”
Get full text
Get full text
Get full text
Article
