Search Results - (( java implementation learning algorithm ) OR ( knowledge using random algorithm ))
Search alternatives:
- implementation learning »
- java implementation »
- learning algorithm »
- random algorithm »
- knowledge using »
-
1
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
Get full text
Get full text
Get full text
Thesis -
2
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
3
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
Get full text
Get full text
Get full text
Thesis -
4
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
Get full text
Get full text
Get full text
Thesis -
5
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
Get full text
Get full text
Thesis -
6
-
7
Document clustering for knowledge discovery using nature-inspired algorithm
Published 2014Get full text
Get full text
Get full text
Conference or Workshop Item -
8
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
Get full text
Get full text
Thesis -
9
Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat
Published 2017“…After ensuring that the classification technique was able to accomplish this work, Hybrid Genetic Random Forests (HGRF) was introduced as a new ensemble classifier based on a Random Forest algorithm, but altered slightly with some innovations. …”
Get full text
Get full text
Get full text
Thesis -
10
Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm
Published 2024“…This paper presents an improved machine learning approach for the accurate and robust state of charge (SOC) in electric vehicle (EV) batteries using differential search optimized random forest regression (RFR) algorithm. …”
Article -
11
Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
Get full text
Get full text
Get full text
Academic Exercise -
12
A shift column different offset for better Rijndael security
Published 2009“…The security of the algorithm on the other hand, is based on the randomness of the output from the encryption process. …”
Get full text
Get full text
Get full text
Article -
13
Twisted pair cable fault diagnosis via random forest machine learning
Published 2022“…Then, the random forests algorithms (RFs), a data-driven method, are adopted to train the fault diagnosis classifier and regression algorithm with the processed fault data. …”
Get full text
Get full text
Get full text
Article -
14
Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries
Published 2023Conference Paper -
15
Performance Analyses of Nature-inspired Algorithms on the Traveling Salesman’s Problems for Strategic Management
Published 2017“…Knowledge of the workings of the TSP is very useful in strategic management as it provides useful guidance to planners. …”
Get full text
Get full text
Get full text
Article -
16
Evolution strategies for evolving artificial neural networks in an arcade game
Published 2010Get full text
Get full text
Get full text
Conference or Workshop Item -
17
Statistical analysis, ciphertext only attack, improvement of generic quasigroup string transformation and dynamic string transformation
Published 2018“…While the dynamic string transformation increase the difficulty level of predicting the substitution table used. The algorithms will be compared in terms of randomness using NIST statistical test suit, correlation Assessment and frequency Distribution.…”
Get full text
Get full text
Article -
18
Optimized processing of satellite signal via evolutionary search algorithm
Published 2000“…The PRSS algorithm is an adaptive search technique that can learn a high performance knowledge structure in reactive environments that provide information as an objective function. …”
Get full text
Get full text
Article -
19
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Classification of cervical cancer using random forest
Published 2022“…In this research, the cervical cancer risk classification model was used by using data mining approach which consider Decision Tree and Random Forest algorithm. …”
Get full text
Get full text
Get full text
Conference or Workshop Item
