Search Results - (( its application status algorithm ) OR ( _ application ((new algorithm) OR (tree algorithm)) ))
Search alternatives:
- application status »
- status algorithm »
- tree algorithm »
- new algorithm »
-
1
A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
Published 2021“…Since one of the major objectives of this study is to explore the future perspectives of machine learning-based palm oil yield prediction, the areas including application of remote sensing, plant’s growth and disease recognition, mapping and tree counting, optimum features and algorithms have been broadly discussed. …”
Get full text
Get full text
Get full text
Article -
2
A study on classification learning algorithms to predict crime status.
Published 2013Get full text
Get full text
Article -
3
-
4
Improving knowledge extraction of Hadith classifier using decision tree algorithm
Published 2012Get full text
Get full text
Get full text
Proceeding Paper -
5
-
6
An extended ID3 decision tree algorithm for spatial data
Published 2011Get full text
Get full text
Conference or Workshop Item -
7
A Data Mining Approach to Construct Graduates Employability Model in Malaysia
Published 2024Get full text
journal::journal article -
8
Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah
Published 2021“…Following the application of a new methodology on the real site, the result indicated the consistency of DTM values of all the algorithms at different flying heights but there were relatively small differences between all the algorithms used. …”
Get full text
Get full text
Thesis -
9
Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…We improved the ID3 decision tree algorithm such that it can be utilized on spatial data in order to develop a classification model for hotspots occurrence. …”
Get full text
Get full text
Get full text
Article -
10
-
11
Parsing algorithms for grammars with regulated rewriting
Published 2011Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
12
Optimizing tree planting areas through integer programming and improved genetic algorithm
Published 2012“…Therefore, a hybrid algorithm through an incorporation of Integer Programming and Improved Genetic Algorithm was proposed for planting lining design. …”
Get full text
Get full text
Thesis -
13
Enhanced mechanism to handle missing data of Hadith classifier
Published 2011Get full text
Get full text
Get full text
Proceeding Paper -
14
-
15
C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education
Published 2018“…The result of this research is tthe application can classify the new students in tree structure in order that it can produce a rule. …”
Get full text
Get full text
Journal -
16
Selection, generation and extraction of MCCTree using XMCCTree
Published 2012Get full text
Get full text
Get full text
Article -
17
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 -
18
Detection and classification of conflict flows in SDN using machine learning algorithms
Published 2021“…The proposed EFDT and hybrid DT-SVM algorithms show a high capability of SDN applications to offer fast detection and classification of conflict flows…”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
19
Analysis and comparison of classification algorithms for credit approval in Islamic banks
Published 2025“…The results highlight significant performance differences among the algorithms. Random Forest and Decision Tree demonstrated strong training accuracy but suffered from overfitting, limiting their generalization to new data. …”
Get full text
Get full text
Get full text
Article -
20
E4ML: Educational Tool for Machine Learning
Published 2003Get full text
Get full text
Conference or Workshop Item
