Search Results - (( its application tree algorithm ) OR ( wave application tools algorithm ))*
Search alternatives:
- application tools »
- application tree »
- wave application »
- its application »
- tools algorithm »
- tree algorithm »
-
1
An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
Get full text
Get full text
Article -
2
An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
Get full text
Get full text
Article -
3
An Accurate and Efficient Shooting-and-bouncing-polygon Ray Tracer For Radio Propagation Modelling
Published 2019“…SBP-CCP simulation results also show very good match (2 dB rootmean-square error) to full-wave solutions computed using CST Microwave.Studio time domain solver, in an indoor application with reflection, transmission, diffraction, and lossy walls with thickness. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
4
Market prices trend forecasting supported by Elliott Wave's theory
Published 2017“…The trend prediction is supported by application of recognized Elliot waves which was performed by custom developed algorithm based on available knowledge about the patterns. …”
Get full text
Get full text
Article -
5
A Scalable Algorithm for Constructing Frequent Pattern Tree
Published 2014Get full text
Get full text
Get full text
Article -
6
Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti
Published 2024“…The project involves data collection, data preparation, and the implementation of the decision tree algorithm for price prediction. The decision tree's effectiveness and accuracy in predicting laptop prices are evaluated through rigorous testing and validation. …”
Get full text
Get full text
Thesis -
7
A class skew-insensitive ACO-based decision tree algorithm for imbalanced data sets
Published 2021“…Ant-tree-miner (ATM) has an advantage over the conventional decision tree algorithm in terms of feature selection. …”
Get full text
Get full text
Get full text
Article -
8
Selection, generation and extraction of MCCTree using XMCCTree
Published 2012Get full text
Get full text
Get full text
Article -
9
-
10
-
11
Efficient Numerical Modelling of Extreme Wave
Published 2020Get full text
Get full text
Final Year Project -
12
Efficient Numerical Modelling of Extreme Waves
Published 2020Get full text
Get full text
Final Year Project -
13
Improvement of Auditory Brainstem Response (ABR) wave V amplitude using novel MLS nonlinear algorithm
Published 2011Get full text
Get full text
Get full text
Proceeding Paper -
14
Parsing algorithms for grammars with regulated rewriting
Published 2011Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
15
Data Classification and Its Application in Credit Card Approval
Published 2004“…The result of this application using the sample credit card approval dataset includes a decision tree, a set of rules derived from the decision tree and its accuracy. …”
Get full text
Get full text
Final Year Project -
16
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 -
17
-
18
Use of a non-linear algorithm to improve the maximum length sequence auditory brainstem response
Published 2012Get full text
Get full text
Proceeding Paper -
19
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 -
20
An approximation approach for free space wave propagation
Published 2009Get full text
Get full text
Conference or Workshop Item
