Search Results - (( using forest based algorithm ) OR ( java application testing algorithm ))
Search alternatives:
- application testing »
- testing algorithm »
- java application »
- using forest »
- forest based »
-
1
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 -
2
Classification of tropical rainforest using different classification algorithm based on remote sensing imagery: A study of Gunung Basor
Published 2019“…Three different classification algorithm, minimum distance classifier, Mahalanobis distance classifier and maximum likelihood algorithm was applied to classify the forest area in Gunung Basor. …”
Get full text
Get full text
Undergraduate Final Project Report -
3
Diamond price prediction using random forest algorithm / Nur Amirah Mohd Azmi
Published 2025“…Development for a customized Random Forest-based model and a library-based one is performed. …”
Get full text
Get full text
Thesis -
4
Clustering of Indonesian forest fires using self organizing maps
Published 2006“…This paper focuses on clustering the locations of Indonesian forest fires and visualizing them into a two-dimensional map using a self-organizing map (SOM) algorithm. …”
Get full text
Get full text
Get full text
Article -
5
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 -
6
Assessment of forest aboveground biomass estimation from superview-1 satellite image using machine learning approaches / Azinuddin Mohd Asri
Published 2022“…Therefore, this study aimed (i) to classify the forest aboveground biomass by estimating crown projection area using object-based image analysis (OBIA) and (ii) to determine the accuracy assessment for estimating forest aboveground biomass using an artificial neural network (ANN) and Random Forest (RF). …”
Get full text
Get full text
Thesis -
7
Comparison of Logistic Regression, Random Forest, SVM, KNN Algorithm for Water Quality Classification Based on Contaminant Parameters
Published 2024“…This study compares four machine learning algorithms Logistic Regression, Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) in water quality classification based on contaminant parameters. …”
Get full text
Get full text
Get full text
Get full text
Article -
8
Comparison of machine learning algorithms for estimating mangrove age using sentinel 2A at Pulau Tuba, Kedah, Malaysia / Fareena Faris Francis Singaram
Published 2021“…Therefore, this study aimed to used OBIA method with selected machine learning algorithm to estimate the mangrove age by using Sentinel 2A image. …”
Get full text
Get full text
Thesis -
9
-
10
Using streaming data algorithm for intrusion detection on the vehicular controller area network
Published 2022“…In this paper, the adapted streaming data Isolation Forest (iForestASD) algorithm has been applied to CAN intrusion detection. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
11
Modeling forest fires risk using spatial decision tree
Published 2011“…The algorithm is applied on historic forest fires data for a district in Riau namely Rokan Hilir to develop a model for forest fires risk. …”
Get full text
Get full text
Conference or Workshop Item -
12
Classification of Diabetes Mellitus (DM) using Machine Learning Algorithms
Published 2021“…Apart from that, ensemble methods such as bagging, adaptive boosting using AdaBoostM1, hybrid classifier using combinations of Random Forest with various base classifiers and ensemble algorithm which is the Random Forest has also been studied. …”
Get full text
Get full text
Final Year Project -
13
Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…As the ID3 algorithm that uses information gain in the attribute selection, the proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
Get full text
Get full text
Get full text
Article -
14
State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
Published 2023Conference Paper -
15
Algorithm for the legal regulation of internet financial crime
Published 2024“…The methodology employed in this study is quantitative, focusing on the analysis of Internet financial crime using random forest and association rules based on data processing. …”
Get full text
Get full text
Get full text
Article -
16
Response surface analysis, clustering, and random forest regression of pressure in suddenly expanded high-speed aerodynamic flows
Published 2020“…Regression of both the pressures using a random forest classification algorithm is carried out. …”
Get full text
Get full text
Get full text
Article -
17
-
18
Detecting canopy openings in logged-over forests: a multi-classifier analysis of PlanetScope imagery
Published 2024“…Therefore the study aimed to utilise satellite imagery, specifically PlanetScope data, to detect, map and measure canopy openings in logged-over forests. Three different classification algorithms, namely maximum likelihood classifier (MLC), support vector machine (SVM) and object-based image analysis (OBIA) were used and compared to identify canopy opening areas. …”
Get full text
Get full text
Article -
19
-
20
