Search Results - (( module active learning algorithm ) OR ( java application clustering algorithm ))
Search alternatives:
- application clustering »
- learning algorithm »
- java application »
- active learning »
-
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
Computational Thinking (Algorithms) Through Unplugged Programming Activities: Exploring Upper Primary Students’ Learning Experiences
Published 2021“…A total of 31 students from a rural primary school were exposed to the learning about the algorithm concept (an aspect of CT skills) via UPA learning materials. …”
Get full text
Get full text
Get full text
Get full text
Article -
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
Pair-associate learning with modulated spike-time dependent plasticity
Published 2012“…We propose an associative learning model using reward modulated spike-time dependent plasticity in reinforcement learning paradigm. …”
Get full text
Get full text
Book Section -
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
Spatio-temporal event association using reward-modulated spike-time-dependent plasticity
Published 2018“…The results demonstrate that the algorithm can also learn temporal sequence detection.Learning has also been tested in face-voice association using real biometric data.The loose dependency between the model's anatomical properties and functionalities could offer a wide range of applications, especially in complex learning environments.…”
Get full text
Get full text
Article -
10
Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques
Published 2022“…An effective machine learning approach created from a separate examination of many machine learning algorithms in WEKA should be applied for the correct identification of heart disease. …”
Get full text
Get full text
Undergraduates Project Papers -
11
Stimulus-stimulus association via reinforcement learning in spiking neural network
Published 2013“…In this paper, we propose an algorithm that performs stimulus-stimulus association via reinforcement learning.In particular, we develop a recurrent network with dynamic properties of Izhikevich spiking neuron model and train the network to associate a stimulus pair using reward modulated spike-time dependent plasticity.The learning algorithm associates a prime stimulus, known as the predictor, with a second stimulus, known as the choice, comes after an inter-stimulus interval.The influence of the prime stimulus on the neural response after the onset of the later stimulus is then observed.A series of probe trials resemble the retrospective and prospective activities in human response processing…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
An ELM-based single input rule module and its application in power generation
Published 2023“…Extreme Learning Machine (ELM) is widely known as an effective learning algorithm than the conventional learning methods from the point of learning speed as well as generalization. …”
Article -
13
Unified neural network controller of series active power filter for power quality problems mitigation
Published 2013“…First, Widrow-Hoff algorithm is examined and its constant learning rate is modified by adding an adaptive learning rule to change the learning rate value. …”
Get full text
Get full text
Thesis -
14
A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim
Published 2017“…It consists of a device database and two processing components: (1) device identification module and (2) device capabilities detection module. …”
Get full text
Get full text
Thesis -
15
Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control
Published 2022“…Comparative analysis of the results shows that the proposed model maintains the desired indoor environment for maximizing plant production with reduced energy consumption i.e., it achieves 61.97 reduced energy consumption than baseline scheme, 11.73 better than optimization scheme without learning modules. Furthermore, proposed model achieves 67.96 and 12.56 reduction in cost when compared to the baseline scheme and optimization scheme without learning modules, respectively. …”
Get full text
Get full text
Article -
16
Towards Autonomous Farming -A Novel Scheme based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control
Published 2022“…Comparative analysis of the results shows that the proposed model maintains the desired indoor environment for maximizing plant production with reduced energy consumption i.e., it achieves 61.97 reduced energy consumption than baseline scheme, 11.73 better than optimization scheme without learning modules. Furthermore, proposed model achieves 67.96 and 12.56 reduction in cost when compared to the baseline scheme and optimization scheme without learning modules, respectively. …”
Get full text
Get full text
Article -
17
Toward Autonomous Farming - A Novel Scheme Based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control
Published 2022“…Comparative analysis of the results shows that the proposed model maintains the desired indoor environment for maximizing plant production with reduced energy consumption, i.e., it achieves 61.97 reduced energy consumption than the baseline scheme, 11.73 better than the optimization scheme without learning modules. Furthermore, the proposed model achieves 67.96 and 12.56 reduction in cost when compared to the baseline scheme and optimization scheme without learning modules, respectively. …”
Get full text
Get full text
Article -
18
Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach with Curated Dataset Generation for Enhanced Security
Published 2023“…After collecting the data from above mentioned sensors we applied machine learning algorithms DBSCAN to cluster the data points and K-NN classification to classify those clusters in one-dimensional data, but the results were not much satisfying. …”
Get full text
Get full text
Article -
19
Output prediction of grid-connected photovoltaic system using artificial neural network / Nurul Khairaini Nor Adzman
Published 2013“…The performance of ANN model was tested using different algorithm and activation function. The number of neuron has been varied from 1-20 while the momentum rate and the learning rate varies from 0.05 until 1. …”
Get full text
Get full text
Thesis -
20
Output prediction of grid-connected photovoltaic system using artificial neural network: article / Nurul Khairaini Nor Adzman
Published 2013“…The performance of ANN model was tested using different algorithm and activation function. The number of neuron has been varied from 1-20 while the momentum rate and the learning rate varies from 0.05 until 1. …”
Get full text
Get full text
Article