Search Results - (( developing learning force algorithm ) OR ( java application clustering algorithm ))
Search alternatives:
- application clustering »
- java application »
- force algorithm »
- learning force »
-
1
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
Get full text
Get full text
Thesis -
2
A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
Get full text
Get full text
Final Year Project -
3
Active force control with iterative learning control algorithm for a vehicle suspension
Published 2013“…The new control scheme named active force control with iterative learning control algorithm (AFCIL) is complemented by the classic proportionalintegral-derivative (PID) control incorporated and designed as the outermost control loop. …”
Get full text
Get full text
Thesis -
4
-
5
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
Algorithm animation for cryptanalysis of caesar and hill ciphers / Sapiee Haji Jamel and Giuseppina Sherry Sayan
Published 2009“…This paper presents an algorithm animation for cryptanalysis of Caesar Cipher using ciphertext only attack and Hill Cipher using Brute force technique. …”
Get full text
Get full text
Get full text
Article -
7
A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
8
-
9
-
10
Machine learning model to predict the contact of angle using mineralogy, TOC and process parameters in shale
Published 2021“…The application aims to develop a machine learning program using the algorithm of Support Vector Machine or Gaussian Process Regression to successfully predict the contact angle. …”
Get full text
Get full text
Conference or Workshop Item -
11
Financial time series predicting using machine learning algorithms
Published 2013“…Subsequently, Dynamic Time Warping (DTW) algorithm is utilised through brute force to predict the trend movement. …”
Get full text
Thesis -
12
CAGDEEP : Mobile malware analysis using force atlas 2 with strong gravity call graph and deep learning
Published 2023Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
13
Improving robotic grasping system using deep learning approach
Published 2020“…This research aimed to develop a Deep Learning grasp detection model and a slip detection algorithm and integrating them into one innovative robotic grasping system. …”
Get full text
Get full text
Thesis -
14
Development of a software for simulating active force control schemes of a two-link planar manipulator
Published 2005“…The Paper Describes The Development Of A Software In The Form Of An Interactive Computer Program That Integrates A Number Of Robotic Control Schemes With The Active Force Control (Afc) Strategy As The Key Element Of The Robotic System That Assumes A Rigid Two-Link Planar Configuration. …”
Get full text
Get full text
Get full text
Article -
15
A wheelchair sitting posture detection system using pressure sensors
Published 2024“…Three classification algorithms based on the supervised learning of machine learning, such as support vector machine (SVM), random forest (RF),and decision tree (DT) were used to classify the postures which produced an accuracy of 95.44%, 98.72%,and 98.80%, respectively. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
16
Development of a software for simulating active force control schemes of a two–link planar manipulator
Published 2005“…The paper describes the development of a software in the form of an interactive computer program that integrates a number of robotic control schemes with the active force control (AFC) strategy as the key element of the robotic system that assumes a rigid two–link planar configuration. …”
Get full text
Get full text
Get full text
Article -
17
An integrated model of automated elementary programming feedback using assisted and recommendation approach
Published 2017“…Meanwhile, similar difficulty groups of the computer programs were generated using a K-Means clustering algorithm that was enhanced with ranking consideration. …”
Get full text
Get full text
Get full text
Thesis -
18
-
19
A conceptual Malaysian private healthcare university-of-the-future business model: staying relevant in the digital and post-covid era
Published 2022“…The results from the analysis and design of the BMC and SC indicate that the principal changes required to digitally transform the university to a UotF include: the adoption of an open learning system for flexible and lifelong learning; transitioning the campus to a more 'smart', eco-friendly and sustainable campus; incorporating the latest artificial intelligence, machine learning algorithms, and data analytics to improve the university‘s management systems and enhance delivery mechanisms for teaching and learning; and to improve community engagement relationships and partnerships to deliver value to the economic, health and safety of the society, as well as to leverage the open learning system to provide curated courses to niche categories of students locally and globally.…”
Get full text
Get full text
Get full text
Article -
20
ICS cyber attack detection with ensemble machine learning and DPI using cyber-Kit datasets
Published 2021“…The processed metadata is normalized for the easiness of algorithm analysis and modelled with machine learning-based latest deep learning ensemble LSTM algorithms for anomaly detection. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Proceeding Paper
