Search Results - (( parametric classification based algorithm ) OR ( parallel visualization learning algorithm ))
Search alternatives:
- parametric classification »
- visualization learning »
- classification based »
- learning algorithm »
-
1
-
2
Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…The second stage involved assessing the spatial resolution effect through utilizing Landsat 8 (30 m) and Sentinel (10 m) data on LCM accuracy using SVM, K-Nearest Neighbor (K-NN), Random Forest (RF), and Neural Network (NN) algorithms. Based on the concluding overall analysis, the classification accuracy derived from Sentinel 2 imagery utilizing SVM and RF, Landsat 8 applying SVM donated higher than other methods of classification. …”
Get full text
Get full text
Thesis -
3
Nearest neighbour group-based classification
Published 2010“…In this paper, we extend three variants of the nearest neighbour algorithm to develop a number of non-parametric group-based classification techniques. …”
Get full text
Get full text
Get full text
Article -
4
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009Get full text
Get full text
Get full text
Conference or Workshop Item -
5
Grid portal technology for web based education of parallel computing courses, applications and researches
Published 2009“…These courses will actively engage the students in exploring the concepts of the development the parallel algorithm in visualizing the grand challenge applications of mathematical problems. …”
Get full text
Get full text
Conference or Workshop Item -
6
Validation on an enhanced dendrite cell algorithm using statistical analysis
Published 2017“…In this study, we evaluated the performance of the enhanced algorithm called dendrite cell algorithm using sensitivity, specificity, false positive rate, and accuracy and validated the result using parametric and non parametric statistical significant tests. …”
Get full text
Get full text
Get full text
Article -
7
-
8
Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…The experimental results are also thoroughly evaluated and verified via non-parametric statistical analysis. Based on the obtained experimental results, the OGC, DPSO, and VDEO frameworks achieved an average enhancement up to 24.36%, 9.38%, and 11.98% of classification accuracy, respectively. …”
Get full text
Get full text
Thesis -
9
Novel voice activity detection based on cepstrum moments
Published 2010Get full text
Get full text
Conference or Workshop Item -
10
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
Get full text
Get full text
Thesis -
11
Acquisition of context-based word recognition by reinforcement learning using a recurrent neural network
Published 2012“…The developed learning system has a 4-layered RNN and it was trained by BPTT method based on teaching signal that was generated by Q-Learning algorithm. …”
Get full text
Get full text
Undergraduates Project Papers -
12
A novel neuroscience-inspired architecture: for computer vision applications
Published 2016“…The theory behind deep learning, the human visual system was investigated and general principles of how it functions are extracted. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
13
-
14
Development of compound clustering techniques using hybrid soft-computing algorithms
Published 2006“…Previously, there is limited work on the clustering and classification of biologically active compounds into their activity based classes using fuzzy and neural network. …”
Get full text
Get full text
Monograph -
15
Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms
Published 2020“…In this study, 30 m Landsat 8 data were processed using a cloud computing platform of Google Earth Engine (GEE) in order to classify oil palm land cover using non-parametric machine learning algorithms such as Support Vector Machine (SVM), Classification and Regression Tree (CART) and Random Forest (RF) for the first time over Peninsular Malaysia. …”
Get full text
Get full text
Get full text
Article -
16
Hybrid conjugate gradient using exact line search in photovoltaic system / Muhammad Ariiq Iqbaal Azizul Firdaus
Published 2025“…Various studies have been undertaken by implementing the CG method in image restoration, optimal rocket landing guidance and motion control field. There are a few classifications of CG method such as classical, hybrid, three-term and parametric CG methods. …”
Get full text
Get full text
Thesis -
17
Investigating computational thinking among primary school students in Terengganu using visual programming
Published 2022“…Recent studies have shown that visual programming is one of the efficient tools to develop CT skills. …”
Get full text
Get full text
Thesis -
18
Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique
Published 2007“…The model is based on the bivariate normal distribution of the skin chromatic subspace. …”
Get full text
Get full text
Thesis -
19
Computational analysis of biological data: Where are we?
Published 2024“…Using computational modeling, classification algorithms can be applied to microarray and RNA sequencing data (such as hierarchical clustering - HCL, t-SNE and principal component analysis - PCA), and high-resolution images can be generated based on the analyzed data and patient samples. …”
Get full text
Get full text
Get full text
Get full text
Book Chapter