Search Results - (( data process mean algorithm ) OR ( java application interface algorithm ))
Search alternatives:
- java application »
- mean algorithm »
- data process »
- process mean »
-
1
Real-time algorithmic music composition application.
Published 2022“…In addition, the system also utilises JavaFx and jFugue for its graphical user interface and music programming respectively. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
2
Application-Programming Interface (API) for Song Recognition Systems
Published 2024“…In addition the implementation is done by algorithm using Java’s programming language, executed through an application developed in the Android operating system. …”
Article -
3
Visdom: Smart guide robot for visually impaired people
Published 2025“…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
4
Optimized clustering with modified K-means algorithm
Published 2021“…Generally, the proposed modified k-means algorithm is able to determine the optimum number of clusters for huge data.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
5
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022Get full text
Get full text
Monograph -
6
Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework
Published 2004“…A design proposal was outlined to provide an adaptive client/server approach to stream audio contents using Real-Time Transport Protocol (RTP) involving architecture based on the Java Media Framework (JMF) Application Programmable Interfaces (API).RTP protocol is the Internet-standard protocol for the transport of real-time data, including audio and video and can be implemented by using Java Media Framework (JMF). …”
Get full text
Get full text
Thesis -
7
Movie recommendation system / Najwa Syamimie Hasnu
Published 2020Get full text
Get full text
Thesis -
8
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 -
9
Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…The new adaptive algorithm is called dynamic quaternion least mean square algorithm (DQLMS) because of the normalization process of the filter input and the variable step-size. …”
Get full text
Get full text
Get full text
Thesis -
10
Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…Parallel power loads anomalies are processed by a fast-density peak clustering technique that capitalizes on the hybrid strengths of Canopy and K-means algorithms all within Apache Mahout's distributed machine-learning environment. …”
Article -
11
SANAsms: Secure short messaging system for secure GSM mobile communication
Published 2008“…The application is designed to satisfy the user friendly interfaces and intent to be used by the end user without having the advanced knowledge in mobile security. …”
Get full text
Get full text
Conference or Workshop Item -
12
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006Get full text
Get full text
Monograph -
13
Improved clustering using robust and classical principal component
Published 2017“…k-means algorithm is a popular data clustering algorithm. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. …”
Get full text
Get full text
Thesis -
14
Comparative analysis of K-Means and K-Medoids for clustering exam questions / Nurul Zafirah Mokhtar
Published 2016“…Each and every attribute and parameters selected undergo several process of data mining starting from pre-processing until the analysis of the data. …”
Get full text
Get full text
Thesis -
15
An efficient indexing and retrieval of iris biometrics data using hybrid transform and firefly based K-means algorithm title
Published 2019“…The enhanced method combines three transformation methods for analyzing the iris image and extracting its local features. It uses a weighted K-means clustering algorithm based on the improved FA to optimize the initial clustering centers of K-means algorithm, known as Weighted K-means clustering-Improved Firefly Algorithm (WKIFA). …”
Get full text
Get full text
Thesis -
16
Detection of the spread of Covid-19 in Indonesia using K-Means Clustering Algorithm / Mohammad Yazdi Pusadan ... [et al.]
Published 2023“…The purpose of this study is to apply the K-Means algorithm to perform clustering on COVID-19 data to determine the high spread of the virus in regions in Indonesia based on the frequency of the data. …”
Get full text
Get full text
Book Section -
17
Pattern discovery using k-means algorithm
Published 2014“…This paper will discuss the results of a pattern extraction process using a clustering algorithm that is k-means. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Pattern Discovery Using K-Means Algorithm
Published 2024“…This paper will discuss the results of a pattern extraction process using a clustering algorithm that is k-means. …”
Proceedings Paper -
19
Improving the tool for analyzing Malaysia’s demographic change: data standardization analysis to form geo-demographics classification profiles using k-means algorithms
Published 2016“…The rationale was that standardized data would simplify the execution of k-means algorithm. …”
Get full text
Get full text
Get full text
Article -
20
Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting
Published 2017“…Therefore, a clustering algorithm by introducing data transformation using X-means data splitting is proposed to investigate the spatial homogeneity of time series rainfall data. …”
Get full text
Get full text
Get full text
Article
