Search Results - (( programming automatic classification algorithm ) OR ( java application based algorithm ))
Search alternatives:
- automatic classification »
- application based »
- java application »
-
1
Software Classification Using Structure-Based Descriptors
Published 2009“…Based on the undertaken experiment, the IBK algorithm is noted to generate the highest classification accuracy (74.8%) compared to several other algorithms provided in the Weka tool. …”
Get full text
Get full text
Get full text
Thesis -
2
Source code classification using latent semantic indexing with structural and frequency term weighting
Published 2012“…In recent years, there is an increase in the number of open source software.Hence, the demand for automatic software classification is also increasing.Latent Semantic Indexing (LSI) is an information retrieval approach that is utilized in classifying source code programs. …”
Get full text
Get full text
Get full text
Article -
3
-
4
-
5
-
6
-
7
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 -
8
Analysis Of Personal Protective Equipment Classification Method Using Deep Learning
Published 2022“…Based on the result, CNN algorithm is a good algorithm as the binary classification of PPE achieved high accuracy result.…”
Get full text
Get full text
Undergraduates Project Papers -
9
Study Of Modified Training Algorithm For Optimized Convergence Speed Of Neural Network
Published 2016“…First proposed algorithm is the combination of momentum algorithm with adaptive learning rate (ALR) algorithm, and second proposed algorithm is the combination of momentum algorithm with automatic learning rate selection (ALRS) algorithm. …”
Get full text
Get full text
Thesis -
10
Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach
Published 2008Get full text
Get full text
Get full text
Conference or Workshop Item -
11
Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…In conclusion, hybrid classification as a combination of k-means and support vector machine algorithms and post-classification comparison change detection technique can be used to monitor land cover changes in Halabja city, Iraq. …”
Get full text
Get full text
Thesis -
12
Direct approach for mining association rules from structured XML data
Published 2012Get full text
Get full text
Thesis -
13
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 -
14
Impact learning: A learning method from feature's impact and competition
Published 2023“…Machine learning is the study of computer algorithms that can automatically improve based on data and experience. …”
Get full text
Get full text
Get full text
Article -
15
-
16
The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
Published 2016“…In the future, it is expected that the detection from a tracking algorithm will automatically switch the traffic light signals based on the road conditions. …”
Get full text
Get full text
Thesis -
17
Towards a better feature subset selection approach
Published 2010“…The selection of the optimal features subset and the classification has become an important issue in the data mining field.We propose a feature selection scheme based on slicing technique which was originally proposed for programming languages.The proposed approach called Case Slicing Technique (CST).Slicing means that we are interested in automatically obtaining that portion 'features' of the case responsible for specific parts of the solution of the case at hand.We show that our goal should be to eliminate the number of features by removing irrelevant once.Choosing a subset of the features may increase accuracy and reduce complexity of the acquired knowledge.Our experimental results indicate that the performance of CST as a method of feature subset selection is better than the performance of the other approaches which are RELIEF with Base Learning Algorithm (C4.5), RELIEF with K-Nearest Neighbour (K-NN), RELIEF with Induction of Decision Tree Algorithm (ID3) and RELIEF with Naïve Bayes (NB), which are mostly used in the feature selection task.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
-
19
Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Impact learning : A learning method from feature’s impact and competition
Published 2023“…Machine learning is the study of computer algorithms that can automatically improve based on data and experience. …”
Get full text
Get full text
Get full text
Get full text
Article
