Search Results - (( parameter validating tree algorithm ) OR ( java application testing algorithm ))
Search alternatives:
- parameter validating »
- application testing »
- testing algorithm »
- java application »
- validating tree »
- tree algorithm »
-
1
Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers
Published 2021“…Finding optimal values for the hyper parameters of a decision tree construction algorithm is a challenging issue. …”
Get full text
Get full text
Get full text
Get full text
Article -
2
RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
Get full text
Get full text
Final Year Project -
3
A Bio-Inspired Territorial Predator Scent Marking Algorithm in Software-Defined Data Center
Published 2023Conference Paper -
4
-
5
Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
6
Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat
Published 2024“…This is due to the data generated from the numerical model possess the pattern for the ML algorithm ease of prediction. In addition, Coati Optimization algorithm, Particle Swarm Opimisation (PSO) and Bayesian Optimsiation (BO) are integrated to identify optimal parameters and minimize settlement during twin tunnel excavation and GBT with the optimisation algorithm has shown consistent capability identifying the least SS induced by twin tunnels Keyword: …”
Get full text
Get full text
Get full text
Thesis -
7
Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
Get full text
Get full text
Journal -
8
Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach
Published 2025“…It is organized into three phases: preliminary investigation, implementation and analysis, and validation. The descriptive analysis examines purchasing behavior through correlation and regression analyses, while the predictive model uses decision trees (J48, Random Tree, REPTree), rule-based algorithms (JRip, OneR, PART), and clustering (K-Means) to identify patterns and predict trends. …”
Get full text
Get full text
Thesis -
9
Development of prediction model for phosphate in reservoir water system based machine learning algorithms
Published 2023“…Decision trees; Eutrophication; Forecasting; Learning systems; Neural networks; Phosphate fertilizers; Predictive analytics; Reservoirs (water); Stochastic systems; Support vector machines; Water pollution; Water quality; Water supply; Conventional modeling; Cross validation; Developed model; Non-point source pollution; Prediction model; Primary sources; Statistical indices; Water quality parameters; Learning algorithms…”
Article -
10
Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
Published 2025“…Three distinct metaheuristic algorithms were investigated: Barnacles Mating Optimizer (BMO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA), each integrated with CatBoost to optimize critical parameters including learning rate, tree depth, regularization, and bagging temperature. …”
Get full text
Get full text
Get full text
Article -
11
Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm
Published 2024“…Hence, a differential search algorithm (DSA) is employed to search for the optimal values of trees and leaves in the RFR algorithm. …”
Article -
12
Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries
Published 2023Conference Paper -
13
Enhanced android malware detection framework using API application framework layer
Published 2023“…Then, the experiment was carried out to test the effectiveness of the proposed enhanced framework using API and manager classes as parameters. By using Decision Tree, k-Nearest Neighbour and Random Forest algorithms, the results were analysed and the performance of the proposed enhanced framework was validated using Confusion Matrix calculation. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow
Published 2023“…Selected regression models were compared with Random Forest, Gradient Boosting, Decision Tree, and other non-tree algorithms to prove the R2 driven performance superiority of tree-based ensemble models. …”
Article -
15
Determination of tree stem volume : A case study of Cinnamomum
Published 2013“…Modelling of trees has attracted scientific research in various fields and disciplines since trees and forests play very important roles in the global system. …”
Get full text
Get full text
Get full text
Thesis -
16
-
17
Implementation of (AES) Advanced Encryption Standard algorithm in communication application
Published 2014“…The concept of ABS algorithm was firstly studied, including the definition, historical background, and a brief comparison was made between the ABS algorithm with other types of algorithm. …”
Get full text
Get full text
Undergraduates Project Papers -
18
Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. In this system a Bayesian algorithm was used in order to implement the system. …”
Get full text
Get full text
Thesis -
19
-
20
Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones
Published 2020“…The development of the prediction tool was conducted base on integrating three sequenced algorithms, which are sun position algorithm, shadow length and position algorithm, and expansion limit algorithm. …”
Get full text
Get full text
Thesis
