Search Results - (( developing java programming algorithm ) OR ( learning application tree algorithm ))
Search alternatives:
- java programming »
- application tree »
- developing java »
- tree algorithm »
-
1
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…This project aims at developing a prototype software tool that can help lecturers detect similarities among student Java programming assignment, thus help lecturers to identify plagiarism offenders among students. …”
Get full text
Get full text
Get full text
Thesis -
2
Provider independent cryptographic tools
Published 2003“…The programming language used is Java JDK1.4.1.…”
Get full text
Get full text
Get full text
Monograph -
3
AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING
Published 2021“…Security systems are built by developing their source codes with different programming languages such as Java language. …”
Get full text
Get full text
Thesis -
4
Real-time algorithmic music composition application.
Published 2022“…This project is about the study of evolutionary music, and focuses on the development of an algorithmic music composer using the Java programming language. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
5
Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
6
Reinforcement Learning Algorithm for Optimising Durian Irrigation Systems: Maximising Growth and Water Efficiency
Published 2024“…This study presents a Reinforcement Learning-based algorithm designed to optimise irrigation for Durio Zibethinus (i.e., durian) trees, aiming to maximise tree growth and reduce water usage. …”
Get full text
Get full text
Get full text
Article -
7
An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms
Published 2022“…This is grounded in the fact that Bagged Trees is most effective algorithm for the said application and Medium Trees is the most efficient one. …”
Get full text
Get full text
Get full text
Article -
8
Tree-based machine learning in classifying reverse migration/ Azreen Anuar, Nur Huzeima Mohd Hussain and Hugh Byrd
Published 2023“…However, there is a scarcity of studies that have applied machine learning algorithms to this problem. This paper aims to fill the gap in the literature by discussing the application of machine learning algorithms for predicting reverse migration. …”
Get full text
Get full text
Get full text
Article -
9
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Algorithms are developed for a simulated mobile robot that uses an array of range finders for navigation. …”
Get full text
Get full text
Monograph -
10
An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…This study recommends a selection trade-off as the function of prediction efficiency and efficacy of the algorithm. Particularly, the proposed optimized Bagged Trees are the most effective algorithm for energy demand prediction applications, and the proposed optimized Medium Trees are the most efficient algorithm for real-time systems. …”
Get full text
Get full text
Thesis -
11
Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
Published 2020“…Therefore, we aimed to classify six classes of freshly excised tissues from a set of electrical impedance measurement variables using five ensemble-based machine learning (ML) algorithms, namely, the random forest (RF), extremely randomized trees (ERT), decision tree (DT), gradient boosting tree (GBT) and AdaBoost (Adaptive Boosting) (ADB) algorithms, which can be subcategorized as bagging and boosting methods. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…The paper describes the development of intelligent chatbots that had been built for Java programming course. …”
Get full text
Get full text
Conference or Workshop Item -
13
Detection and classification of conflict flows in SDN using machine learning algorithms
Published 2021“…As a result, this paper presents several machine learning algorithms that include Decision Tree (DT), Support Vector Machine (SVM), Extremely Fast Decision Tree (EFDT) and Hybrid (DT-SVM) for detecting and classifying conflicting flows in SDNs. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
14
Hybrid cryptography algorithm to improve security cloud storage
Published 2017“…To perform the required tasks separate Java programs are written. Input data size is varied from 100 MB to 1000 MB. …”
Get full text
Get full text
Get full text
Thesis -
15
-
16
Application of Decision Trees in Athlete Selection: A Cart Algorithm Approach
Published 2023“…This study investigates the application of Decision Trees (DTs), a non-parametric supervised learning method, renowned for its simplicity, interpretability, and wide applicability in various domains, including machine learning for classification and regression tasks. …”
Get full text
Get full text
Get full text
Article -
17
A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets
Published 2021“…This study proposed an enhanced algorithm called hellingerant-tree-miner (HATM) which is inspired by ant colony optimization (ACO) metaheuristic for imbalanced learning using decision tree classification algorithm. …”
Get full text
Get full text
Get full text
Article -
18
Comparison of machine learning algorithms for estimating mangrove age using sentinel 2A at Pulau Tuba, Kedah, Malaysia / Fareena Faris Francis Singaram
Published 2021“…The supervised machine learning algorithm, SVM and Decision Tree are used for the estimation of the mangrove age into young and mature. …”
Get full text
Get full text
Thesis -
19
E4ML: Educational Tool for Machine Learning
Published 2003Get full text
Get full text
Conference or Workshop Item -
20
