Search Results - (( java implementation means algorithm ) OR ( program predictive model algorithm ))
Search alternatives:
- implementation means »
- java implementation »
- predictive model »
- means algorithm »
- model algorithm »
-
1
A web-based implementation of k-means algorithms
Published 2022“…The K-means algorithm has been around for over a century. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
2
Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…This study aims to compare the performance of Boyer-Moore, Knuth morris pratt, and Horspool algorithms in searching for the meaning of words in the Java-Indonesian dictionary search application in terms of accuracy and processing time. …”
Get full text
Get full text
Journal -
3
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 -
4
Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed...
Published 2022“…The low RMSE (<1) and MAE (<1) obtained from the models are indications of the robustness of the accurate prediction of the NLRQM-LM and NLRQM-SQP algorithms. …”
Get full text
Get full text
Article -
5
-
6
A hybrid ANN for output power prediction and online monitoring in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus
Published 2023“…Improved Fast Evolutionary Programming (IFEP), Evolutionary Programming- Dolphin Echolocation Algorithm (EPDEA) and Evolutionary Programming-Firefly Algorithm (EPFA). …”
Get full text
Get full text
Thesis -
7
Neural network based model predictive control for a steel pickling process
Published 2009“…The Levenberg-Marquardt algorithm is used to train the process models. In the control (MPC) algorithm, the feedforward neural network models are used to predict the state variables over a prediction horizon within the model predictive control algorithm for searching the optimal control actions via sequential quadratic programming. …”
Get full text
Get full text
Article -
8
Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed...
Published 2022“…The low RMSE (<1) and MAE (<1) obtained from the models are indications of the robustness of the accurate prediction of the NLRQM-LM and NLRQM-SQP algorithms. …”
Get full text
Get full text
Article -
9
-
10
-
11
Building customer churn prediction models in Indonesian telecommunication company using decision tree algorithm
Published 2023“…Preventive efforts are needed by predicting the value of churn in the future. This study uses data mining techniques with decision tree algorithms to predict customer churn in one of Indonesian Telecommunication companies. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat
Published 2022“…The Long Short-term Memory (LSTM) deep learning model was chosen for classifying programming learners according to their performance. …”
Get full text
Get full text
Get full text
Thesis -
13
Biometrics electronic purse
Published 1999“…This paper looked into using biometrics as a mean of authentication, thus requiring a new generation of Smart Card technology to be implemented in banking and multiple applications environment. …”
Get full text
Get full text
Get full text
Proceeding Paper -
14
Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
Published 2013“…The objective was to identify and implement the most accurate algorithm for the KPTM dataset and to come up with a good prediction model using decision tree technique. …”
Get full text
Get full text
Conference or Workshop Item -
15
Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub...
Published 2014“…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
Get full text
Get full text
Monograph -
16
-
17
-
18
Movie recommendation system / Najwa Syamimie Hasnu
Published 2020“…PHPMyAdmin is used to store the dataset and also acts as a database for user information. The algorithm chosen was implemented using Java Programming language and was tested using Root Means Square Error (RMSE) formula.…”
Get full text
Get full text
Thesis -
19
Mapreduce algorithm for weather dataset
Published 2017“…Results from the proposed algorithm have been compared with the existing model known as AWK (Alfred Aho, Peter Weinberger, and Brian Kernighan) model. …”
Get full text
Get full text
Thesis -
20
Monitoring and prediction of bearing failure by acoustic emission and neural network
Published 2005“…The data was then used to develop thc model using ANN for bearing fault prediction model. …”
Get full text
Get full text
Get full text
Get full text
Thesis
